? ”\n → Build up a `data` object:\n {\n /* static values from 3a */,\n blocks: {\n KEY1: { include: true, P1: val1, P2: val2… },\n KEY2: { include: false },\n …\n }\n }\n\nstep-4 After collecting all the required information, submit the information provided by the user to the user for approval as a whole.\nstep-5 Using the `docId` and that `data` object, call the DocProcess (FillDocument) tool.\n\nstep-6 If there are no errors, return the new document’s download URL (or ID) to the user indicating success.\n\n\n#STYLE\n• Speak concise, formal Turkish.\n• Never guess data; always ask.\n• Only tool-call messages may contain JSON blocks.\n\n#RULES\nWhen calling DocProcess, DO NOT CHANGE/TRANSLATE the placeholder names and conditional flag names/structure returned by GetMetaData. Only place the answers you obtained from the user next to them.\n" } }, "id": "790f5da3-f409-4ba9-b2bd-d64c42d411b0", "name": "DocAgent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 2240, 48 ], "retryOnFail": true, "typeVersion": 2 }, { "parameters": { "description": "Call this tool for Doc Process", "workflowId": { "__rl": true, "mode": "id", "value": "" }, "workflowInputs": { "value": { "data": "={{ $fromAI('data') }}", "user_choice_id": "={{ $fromAI('user_choice_id') }}", "user_choice_name": "={{ $fromAI('user_choice_name') }}" }, "schema": [ { "id": "user_choice_name", "type": "string", "display": true, "removed": false, "required": false, "displayName": "user_choice_name", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "user_choice_id", "type": "string", "display": true, "removed": false, "required": false, "displayName": "user_choice_id", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "data", "type": "object", "display": true, "removed": false, "required": false, "displayName": "data", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false } }, "id": "d319a278-13ab-47ec-87d4-a071b0049bb8", "name": "DocProcess", "type": "@n8n/n8n-nodes-langchain.toolWorkflow", "position": [ 2608, 368 ], "typeVersion": 2.2 }, { "parameters": {}, "id": "0f080336-4bae-4947-82f6-9b0597e4180c", "name": "Postgres Chat Memory", "type": "@n8n/n8n-nodes-langchain.memoryPostgresChat", "position": [ 2208, 368 ], "typeVersion": 1.3 }, { "parameters": { "url": "https://www.googleapis.com/drive/v3/files?q='%3CYOUR_PARENT_ID%3E'+in+parents+and+trashed=false&fields=files(id,name,description)&pageSize=1000", "authentication": "predefinedCredentialType", "nodeCredentialType": "googleDriveOAuth2Api", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Accept", "value": "application/json" } ] }, "options": {} }, "id": "2722fd52-bb6a-4c27-b60a-566fbcff2a15", "name": "Template List", "type": "n8n-nodes-base.httpRequest", "position": [ 1504, 512 ], "typeVersion": 4.2, "credentials": { "googleDriveOAuth2Api": { "id": "ReA6Hzgc9YZ609x1", "name": "Google Drive account 2" } } }, { "parameters": { "content": "## Manual Template List Retrieval\n**The response returned from this API request is manually added to the system prompt.\n\n", "height": 360, "width": 260, "color": 4 }, "id": "7f1c9723-a063-47b5-9e20-0fc22c9bb6ed", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 1440, 320 ], "typeVersion": 1 }, { "parameters": { "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n**It is preferred for more consistent memory management. Other alternatives can also be tried.", "height": 320, "width": 180 }, "id": "98252d5d-69aa-492f-b09b-91620d6d90ae", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 2160, 320 ], "typeVersion": 1 }, { "parameters": { "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n**Metadata of the template selected by the user is dynamically retrieved.", "height": 320, "width": 180 }, "id": "1887014a-8957-4cf1-a0b2-40958ffc55a7", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 2384, 320 ], "typeVersion": 1 }, { "parameters": { "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n**Prioritized due to free API-Key trial.", "height": 320, "width": 212 }, "id": "dd98f454-7af0-4865-b5a4-b2a7c0ed7556", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 1920, 320 ], "typeVersion": 1 }, { "parameters": { "content": "## Description \n\n## 1 — What Does It Do / Which Problem Does It Solve?\n\nThis workflow turns Google Docs-based contract & form templates into **ready-to-sign PDFs in minutes**—all from a single chat flow.\n\n- **Automates repetitive document creation.** Instead of copying a rental, sales, or NDA template and filling it by hand every time, the bot asks for the required values and fills them in.\n- **Eliminates human error.** It lists every mandatory field so nothing is missed, and removes unnecessary clauses via conditional blocks.\n- **Speeds up approvals.** The final draft arrives as a direct PDF link—one click to send for signing.\n- **One template → unlimited variations.** Every new template you drop in Drive is auto-listed with **zero workflow edits—**it scales effortlessly.\n- **100 % no-code.** Runs on n8n + Google Apps Script—no extra backend, self-hosted or cloud.\n\n---\n\n## 2 — How It Works (Detailed Flow)\n\n1. 📝 **Template Discovery**\n \n 📂 The **TemplateList** node scans the Drive folder you specify via the `?mode=meta` endpoint and returns an `id / title / desc` list. The bot shows this list in chat.\n \n2. 🎯 **Selection & Metadata Fetch**\n \n The user types a template name.\n \n 🔍 **GetMetaData** opens the chosen Doc, extracts `META_JSON`, placeholders, and conditional blocks, then lists mandatory & optional fields.\n \n3. 🗣 **Data-Collection Loop**\n - The bot asks for every **placeholder** value.\n - For each **conditional block** it asks 🟢 **Yes** / 🔴 **No**.\n \n Answers are accumulated in a `data` JSON object.\n \n4. ✅ **Final Confirmation**\n \n The bot summarizes the inputs → when the user clicks **Confirm**, the *DocProcess* sub-workflow starts.\n \n5. ⚙️ **DocProcess Sub-Workflow**\n \n \n | 🔧 Step | Node | Task |\n | --- | --- | --- |\n | 1 | **User Choice Match Check** | Verifies name–ID match; throws if wrong |\n | 2 | **GetMetaData (renew)** | Gets the latest placeholder list |\n | 3 | **Validate JSON Format** | Checks for missing / unknown fields |\n | 4 | **CopyTemplate** | Copies the Doc via Drive API |\n | 5 | **FillDocument** | Apps Script fills placeholders & removes blocks |\n | 6 | **Generate PDF Link** | Builds an `export?format=pdf` URL |\n6. 📎 **Delivery**\n \n The master agent sends **🔗 Download PDF** & **✏️ Open Google Doc** links.\n \n7. 🚫 **Error Paths**\n - `status:\"ERROR\", missing:[…]` → bot lists missing fields and re-asks.\n - `unknown:[…]` → template list is outdated; rerun *TemplateList*.\n - Any Apps Script error → the returned `message` is shown verbatim in chat.\n\n---\n\n## 3 — 🚀 Setup Steps (Full Checklist)\n\n> Goal: Get a flawless PDF on the first run.\n> \n> \n> Mentally **tick** the ☑️ in front of every line as you go.\n> \n\n### ☁️ A. Google Drive Preparation\n\n| Step | Do This | Watch Out For |\n| --- | --- | --- |\n| 1 | Create a `Templates/` folder → put every template Doc inside | Exactly **one** folder; **no** sub-folders |\n| 2 | Placeholders in every Doc are **`{{UPPER_CASE}}`** | No Turkish chars or spaces |\n| 3 | Wrap optional clauses with **`[[BLOCK_NAME:START]]…[[BLOCK_NAME:END]]`** | The `START` tag must have a **blank line above** |\n| 4 | Add a `META_JSON` block at the very end | Script deletes it automatically after fill |\n| 5 | Right-click Doc > **Details ▸ Description** = 1-line human description | Shown by the bot in the list |\n| 6 | Create a second `Generated/` folder (for copies) | Keeps Drive tidy |\n\n> 🔑 Folder ID (long alphanumerical) = \n> \n> \n> We’ll paste this into the TemplateList node next.\n> \n\n[Simple sample template → Template Link](https://www.notion.so/Simple-sample-template-Template-Link-22b3f8a1e57f8070beacd034ba6f557f?pvs=21)\n\n---\n\n### 🛠 B. Import the Workflow into n8n\n\n```bash\nSettings ▸ Import Workflow ▸ DocAgent.json\n\n```\n\nIf nodes look **Broken** afterwards → no community-node problem; you only need to select credentials.\n\n---\n\n### 📑 C. Customize the TemplateList Node\n\n1. Open **Template List** node ⚙️ → replace\n \n `'%3CYOUR_PARENT_ID%3E' in parents`\n \n with the real **folder ID** in the **URL**.\n \n2. Right-click node > **Execute Node**.\n3. Copy the entire JSON response.\n4. In the editor paste it into:\n - **DocAgent** → *System Prompt* (top)\n - **User Choice Match Check** → *System Prompt* (top)\n \n Save.\n \n\n> ⚠️ Why manual? Caching the list saves LLM tokens. Whenever you add a template, rerun the node and update the prompts.\n> \n\n---\n\n### 🔗 D. Deploy the Apps Script\n\n| Step | Screen | Note |\n| --- | --- | --- |\n| 1 | Open Gist files **GetMetaData.gs** + **FillDocument.gs** → *File ▸ Make a copy* | Both files may live in one project |\n| 2 | *Project Settings* > enable **Google Docs API** ✔️ & **Google Drive API** ✔️ | Otherwise you’ll see 403 errors |\n| 3 | *Deploy ▸ New deployment ▸ Web app* | |\n| • Execute as | **Me** | |\n| • Who has access | **Anyone** | |\n| 4 | On the consent screen allow scopes:• `…/auth/documents`• `…/auth/drive` | Click **Advanced › Go** if Google warns |\n| 5 | Copy the **Web App URL** (e.g. `https://script.google.com/macros/s/ABC123/exec`) | If this URL changes, update n8n |\n\n[Apps Script source code → Notion Link](https://www.notion.so/Apps-Script-source-code-Notion-Link-22b3f8a1e57f8015a280d90de16c031f?pvs=21)\n\n---\n\n### 🔧 E. Wire the Script URL in n8n\n\n| Node | Field | Action |\n| --- | --- | --- |\n| **GetMetaData** | *URL* | `?mode=meta&id={{ $json[\"id\"] }}` |\n| **FillDocument** | *URL* | `` |\n\n> 💡 Prefer using an .env file? Add GAS_WEBAPP_URL=… and reference it as {{ $env.GAS_WEBAPP_URL }}.\n> \n\n---\n\n### 🔐 F. Add Credentials\n\n- **Google Drive OAuth2** → *Drive API (v3) Full Access*\n- **Google Docs OAuth2** → same account\n- **LLM key** (OpenAI / Gemini)\n- (Optional) **Postgres Chat Memory** credential for the corresponding node\n\n---\n\n### 🧪 G. First Run (Smoke Test)\n\n1. Switch the workflow **Active**.\n2. In the chat panel type `/start`.\n3. Bot lists templates → pick one.\n4. Fill mandatory fields, optionally toggle blocks → **Confirm**.\n5. **🔗 Download PDF** link appears → ☑️ setup complete.\n\n---\n\n### ❌ H. Common Errors & Fixes\n\n| 🆘 Error | Likely Cause | Remedy |\n| --- | --- | --- |\n| `403: Apps Script permission denied` | Web app access set to *User* | Redeploy as **Anyone**, re-authorize scopes |\n| `placeholder validation failed` | Missing required field | Provide the listed values → rerun DocProcess |\n| `unknown placeholders: …` | Template vs. agent mismatch | Check placeholder spelling (UPPER_CASE ASCII) |\n| `Template ID not found` | Prompt list is old | Rerun **TemplateList** → update both prompts |\n| `Cannot find META_JSON` | No meta block / wrong tag | Add `[[META_JSON_START]] … [[META_JSON_END]]`, retry |\n\n---\n\n### ✅ Final Checklist\n\n- [ ] Drive folder structure & template rules ready\n- [ ] Workflow imported, folder ID set in node\n- [ ] TemplateList output pasted into both prompts\n- [ ] Apps Script deployed, URL set in nodes\n- [ ] OAuth credentials & LLM key configured\n- [ ] `/start` test passes, PDF link received\n\n---\n\n## 🙋‍♂️ Need Help with Customizations?\n\nReach out for consulting & support on LinkedIn: [**Özgür Karateke**](https://www.linkedin.com/in/%C3%B6zg%C3%BCr-karateke-130514147/)\n\n[Simple sample template → Template Link](https://www.notion.so/Simple-sample-template-Template-Link-22b3f8a1e57f8070beacd034ba6f557f?pvs=21)\n\n[Apps Script source code → Notion Link](https://www.notion.so/Apps-Script-source-code-Notion-Link-22b3f8a1e57f8015a280d90de16c031f?pvs=21)", "height": 4140, "width": 1280, "color": 6 }, "id": "f291bfde-7ad4-41f8-884a-1cc3c31b0ee4", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ 0, 0 ], "typeVersion": 1 }, { "parameters": { "content": "## DocProcess (Subworkflow)", "height": 1040, "width": 3640, "color": 4 }, "id": "8726af35-23de-4ec0-919e-9288ff08fd22", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 1904, 720 ], "typeVersion": 1 }, { "parameters": { "workflowInputs": { "values": [ { "name": "user_choice_name" }, { "name": "user_choice_id" }, { "name": "data", "type": "object" } ] } }, "id": "afcddffa-81ae-4947-988f-f09587f13813", "name": "When Executed by Another Workflow", "type": "n8n-nodes-base.executeWorkflowTrigger", "position": [ 2080, 1088 ], "typeVersion": 1.1 }, { "parameters": { "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "a78bfdab-11cc-4ef1-8074-1fdcd6f14275", "operator": { "type": "boolean", "operation": "true", "singleValue": true }, "leftValue": "={{ $json.output.eslesme }}", "rightValue": "true" } ] }, "options": {} }, "id": "bb84e9ba-13cf-4a9b-8ae4-7e9b2b5554d7", "name": "If", "type": "n8n-nodes-base.if", "position": [ 2672, 1088 ], "typeVersion": 2.2 }, { "parameters": { "modelName": "models/gemini-2.5-pro", "options": {} }, "id": "9bc070f4-8319-40a4-a8f7-54efd9302601", "name": "Google Gemini Chat Model1", "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "position": [ 3552, 1184 ], "typeVersion": 1, "credentials": { "googlePalmApi": { "id": "xTC5bggV3FN3kz5r", "name": "Google Gemini(PaLM) Api account" } } }, { "parameters": { "jsonSchemaExample": "{\n\t\"eslesme\": true,\n\t\"user_choice_name\": \"SATIŞ SÖZLEŞMESİ\",\n \"user_choice_id\": \"\"\n}" }, "id": "f52954f1-e3b8-45f5-8100-5fd19cfa949e", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 2448, 1312 ], "typeVersion": 1.3 }, { "parameters": { "assignments": { "assignments": [] }, "includeOtherFields": true, "options": {} }, "id": "beaf5d95-e4db-4c30-9559-8174c9bb7910", "name": "Edit Fields", "type": "n8n-nodes-base.set", "position": [ 3328, 992 ], "typeVersion": 3.4 }, { "parameters": { "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "91055448-6534-40ca-939b-dfbdf2974ab1", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $('Format Control').item.json.output.docId }}", "rightValue": "={{ $json.id }}" } ] }, "options": {} }, "id": "d2b2e632-424b-42f5-8f3c-279ab78bd8b5", "name": "If1", "type": "n8n-nodes-base.if", "position": [ 4352, 992 ], "typeVersion": 2.2 }, { "parameters": { "assignments": { "assignments": [ { "id": "cb4572fd-8cc7-4e85-860b-aabbb6b1038d", "name": "Belge oluşturulamama sebebi:", "type": "string", "value": "=Please consult the user to resolve the following error.\n{{ $('FillDocument').item.json.message }}" } ] }, "options": {} }, "id": "35eeae79-9cda-4dcf-aaef-b0638474d0da", "name": "Other Errors", "type": "n8n-nodes-base.set", "position": [ 5248, 1488 ], "typeVersion": 3.4 }, { "parameters": { "rules": { "values": [ { "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "c35889e4-f027-49b9-9b59-69cf996f0e9c", "operator": { "type": "array", "operation": "notEmpty", "singleValue": true }, "leftValue": "={{ $('FillDocument').item.json.unknown }}", "rightValue": "" } ] }, "renameOutput": true, "outputKey": "Template Technical Error" }, { "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "08a43597-51af-4632-82c5-ff54505bae13", "operator": { "type": "array", "operation": "notEmpty", "singleValue": true }, "leftValue": "={{ $('FillDocument').item.json.missing }}", "rightValue": "" } ] }, "renameOutput": true, "outputKey": "Incomplete Information Error" }, { "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "b42acb05-8237-46c2-80f4-27cfb1232710", "operator": { "type": "string", "operation": "notEquals" }, "leftValue": "={{ $('FillDocument').item.json.message }}", "rightValue": " Placeholder validation failed" } ] }, "renameOutput": true, "outputKey": "Other Errors" } ] }, "options": {} }, "id": "89e28ccb-88b7-4987-a34b-8ba09cedb428", "name": "Switch", "type": "n8n-nodes-base.switch", "position": [ 5008, 1184 ], "typeVersion": 3.2 }, { "parameters": { "operation": "copy", "fileId": { "__rl": true, "mode": "id", "value": "={{ $json.docId }}" }, "name": "={{ $now.toFormat('dd.MM.yyyy') }} tarihli {{ $('GetMetaData2').item.json.metadata.title }} belgesi", "sameFolder": false, "driveId": { "__rl": true, "mode": "list", "value": "My Drive" }, "folderId": { "__rl": true, "mode": "id", "value": "=" }, "options": {} }, "id": "25847674-0af6-4b65-a9f5-8f8e72b8fa3e", "name": "CopyTemplate", "type": "n8n-nodes-base.googleDrive", "position": [ 4128, 992 ], "typeVersion": 3, "credentials": { "googleDriveOAuth2Api": { "id": "ghvfZZcpO23tYvmn", "name": "Google Drive account" } } }, { "parameters": { "method": "POST", "url": "https://script.google.com/macros/s//exec", "sendBody": true, "bodyParameters": { "parameters": [ { "name": "docId", "value": "={{ $json.id }}" }, { "name": "data", "value": "={{ $('Formatting Correction').item.json.data }}" } ] }, "options": {} }, "id": "6270e90f-26d1-4ace-aa1f-bf4ab6bd58d3", "name": "FillDocument", "type": "n8n-nodes-base.httpRequest", "position": [ 4560, 1088 ], "typeVersion": 4.2 }, { "parameters": { "modelName": "models/gemini-2.5-pro", "options": {} }, "id": "7e0365e4-066f-4e51-aea0-4143a958e802", "name": "Google Gemini Chat Model2", "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "position": [ 2320, 1312 ], "typeVersion": 1, "credentials": { "googlePalmApi": { "id": "xTC5bggV3FN3kz5r", "name": "Google Gemini(PaLM) Api account" } } }, { "parameters": { "assignments": { "assignments": [ { "id": "0bd79b8c-66b5-4a4e-9888-6a0af9276061", "name": "pdf_id", "type": "string", "value": "The template name selected by the user does not match the template matched by the agent. Please check if the template name selected by the user matches its id." } ] }, "options": {} }, "id": "10742bf9-9ed8-4417-a34b-10e8f5061c34", "name": "User Choice Matching Error", "type": "n8n-nodes-base.set", "position": [ 2880, 1184 ], "typeVersion": 3.4 }, { "parameters": { "assignments": { "assignments": [ { "id": "0a616fd3-6227-4902-9d1d-1ca09f14412e", "name": "output.user_choice_id", "type": "string", "value": "={{ $json.output.user_choice_id }}" } ] }, "includeOtherFields": true, "options": {} }, "id": "dcc59e51-d927-45e3-90b0-ba920bf2aa7e", "name": "User Choice Match Correct", "type": "n8n-nodes-base.set", "position": [ 2880, 992 ], "typeVersion": 3.4 }, { "parameters": { "promptType": "define", "text": "=The reference point is the document name chosen by the user.\n\n\n{{ $json.user_choice_name }}\n{{ $json.user_choice_id }}\n\n\n\n{{ YOUR_MANUAL_TO_ADD_TEMPLATE_LIST }}\n\n\nA match of id information is given according to the document name. Examine this match according to the guide list given to you.\n\nIf match is correct\n\n{\n\"match\": true,\n\"user_choice_name\":\"{{ $json.user_choice_name }}\" ,\n\"user_choice_id\": {{ $json.user_choice_id }}\n}\n\nIf match is incorrect:\n{\n\"match\": false,\n\"user_choice_name\":\"{{ $json.user_choice_name }}\" ,\n\"user_choice_id\": {{ $json.user_choice_id }},\n\"correct_id\":\"WRITE THE ID YOU NEED HERE\"\n}", "hasOutputParser": true, "messages": { "messageValues": [ { "message": "Cevaplarını JSON formatında ver." } ] }, "batching": {} }, "id": "487891c9-9752-4ef9-8eb8-808bdb16622d", "name": "User Choice Match Check", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ 2304, 1088 ], "typeVersion": 1.7 }, { "parameters": { "url": "https://script.google.com/macros/s//exec", "sendQuery": true, "queryParameters": { "parameters": [ { "name": "mode", "value": "meta" }, { "name": "id", "value": "={{ $json.output.user_choice_id }}" } ] }, "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "accept", "value": "application/json" } ] }, "options": {} }, "id": "bc3619c3-b4a2-4297-8d26-cce022f94f22", "name": "GetMetaData2", "type": "n8n-nodes-base.httpRequest", "position": [ 3104, 992 ], "typeVersion": 4.2 }, { "parameters": { "promptType": "define", "text": "=Place the actual user answers according to the rules using the metadata information of the document given to you.\n\nMatch only the original metadata placeholder and conditional flags with the answers given by the user. DO NOT change the placeholder and conditional flag texts in the metadata.\n\n\n{{ $json.metadata.toJsonString() }}\n\n\n\n\n{{ $('When Executed by Another Workflow').item.json.data.toJsonString() }}\n\n\nFormat example of the output you should give:\n\n{\n\"docId\": \"\",\n\"data\": {\n// — Static (mandatory) placeholders —\n\"SELLER_NAME\": \"Özgür Mözgür\",\n\"BUYER_NAME\": \"Ali Veli\",\n\"PRODUCT_NAME\": \"Computer\",\n\"PRICE\": \"10000\",\n\"DELIVER_DATE\": \"12.06.2025\",\n\"TODAY_DATE\": \"02.07.2025\",\n\n// — Conditional blocks in the “blocks” object —\n\"blocks\": {\n\"MADATE_INSTALLMENT\": {\n\"include\": false\n// INSTALLMENT_PLAN is not sent because include:false\n},\n\"GUARANTEE\": {\n\"include\": true,\n\"GUARANTEE_PERIOD\": \"24\"\n}\n}\n}\n}", "hasOutputParser": true, "batching": {} }, "id": "cc459f11-4eb3-4f32-8171-f79d6621c4e4", "name": "Format Control", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ 3552, 992 ], "typeVersion": 1.7 }, { "parameters": { "jsCode": "// 1) We get the raw text with $input.first() (direct JS instead of Expression)\n// $input provides access to each item as n8n's global variable.\nconst raw = $input.first().json.text;\n\n// 2) Regex to catch ```json … ``` block\nconst match = raw.match(/```json\\s*([\\s\\S]*?)```/i);\n\n// 3) Extract block or use full text\nconst jsonString = match ? match[1] : raw;\n\n// 4) Trim + parse\nconst clean = jsonString.trim();\nlet parsed;\ntry {\n parsed = JSON.parse(clean);\n} catch (e) {\n throw new Error(`JSON parse hatası: ${e.message}\\n\\nRaw içerik:\\n${clean}`);\n}\n\n// 5) Return a single item output\nreturn [{ json: parsed }];\n" }, "id": "179f9ee7-681e-48a9-b0ae-70eaf474d7b7", "name": "Formatting Correction", "type": "n8n-nodes-base.code", "position": [ 3904, 992 ], "typeVersion": 2 }, { "parameters": { "assignments": { "assignments": [ { "id": "4dec2470-f7cb-4b0a-92a8-31cf88581921", "name": "Belge oluşturulamama sebebi:", "type": "string", "value": "=The document id to be filled with the copied document does not match" } ] }, "options": {} }, "id": "3bffee4d-3845-4be5-b7c9-e090e2f921f4", "name": "Cop. Document ID Matching Error", "type": "n8n-nodes-base.set", "position": [ 4560, 880 ], "typeVersion": 3.4 }, { "parameters": { "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "fc031e6c-6bc6-445b-9cd5-f8e749156f88", "operator": { "name": "filter.operator.equals", "type": "string", "operation": "equals" }, "leftValue": "={{ $json.status }}", "rightValue": "OK" } ] }, "options": {} }, "id": "27edda3a-93a5-4a35-8d18-b548b837ee8d", "name": "if", "type": "n8n-nodes-base.if", "position": [ 4784, 1088 ], "typeVersion": 2.2 }, { "parameters": { "url": "=https://www.googleapis.com/drive/v3/files/{{ $('CopyTemplate').item.json.id }}?fields=webContentLink,exportLinks ", "authentication": "predefinedCredentialType", "nodeCredentialType": "googleDriveOAuth2Api", "options": {} }, "id": "4bc4c9d5-6f13-45a7-bae8-4beac51643b9", "name": "Generate Download Link", "type": "n8n-nodes-base.httpRequest", "position": [ 5008, 880 ], "typeVersion": 4.2, "credentials": { "googleDriveOAuth2Api": { "id": "ReA6Hzgc9YZ609x1", "name": "Google Drive account 2" } } }, { "parameters": { "assignments": { "assignments": [ { "id": "9af065e4-ec39-480b-b577-99351ed48228", "name": "download_link", "type": "string", "value": "={{ $json.exportLinks['application/pdf'] }}" } ] }, "options": {} }, "id": "2c6dbd92-1fc1-460f-8bff-a2430be5893a", "name": "Download Link Format", "type": "n8n-nodes-base.set", "position": [ 5232, 880 ], "typeVersion": 3.4 }, { "parameters": { "assignments": { "assignments": [ { "id": "4dec2470-f7cb-4b0a-92a8-31cf88581921", "name": "Belge oluşturulamama sebebi:", "type": "string", "value": "={{ $('FillDocument').item.json.status }}\nError description:\n{{ $('FillDocument').item.json.message }}\n\n\nLütfen buradaki eksik belgeleri user'dan isteyiniz. Tüm bilgileri tamamladıktan sonra tekrar DocProcess aracını çağırabilirsiniz. {{ $('FillDocument').item.json.missing.toJsonString() }}" } ] }, "options": {} }, "id": "5496d00d-c480-4ebb-b442-61254da907f0", "name": "Incomplete Information Error", "type": "n8n-nodes-base.set", "position": [ 5248, 1296 ], "typeVersion": 3.4 }, { "parameters": { "assignments": { "assignments": [ { "id": "cb4572fd-8cc7-4e85-860b-aabbb6b1038d", "name": "Belge oluşturulamama sebebi:", "type": "string", "value": "=This is a technical error, you can send the following text to the user: \"Please consult your institution or organization for this issue. The draft that the document you requested was created from is incorrect.\"" } ] }, "options": {} }, "id": "c793ac14-6c56-4b5a-aa24-35b401a3dd36", "name": "Template Technical Error", "type": "n8n-nodes-base.set", "position": [ 5248, 1120 ], "typeVersion": 3.4 } ], "connections": { "If": { "main": [ [ { "node": "User Choice Match Correct", "type": "main", "index": 0 } ], [ { "node": "User Choice Matching Error", "type": "main", "index": 0 } ] ] }, "if": { "main": [ [ { "node": "Generate Download Link", "type": "main", "index": 0 } ], [ { "node": "Switch", "type": "main", "index": 0 } ] ] }, "If1": { "main": [ [ { "node": "Cop. Document ID Matching Error", "type": "main", "index": 0 } ], [ { "node": "FillDocument", "type": "main", "index": 0 } ] ] }, "Switch": { "main": [ [ { "node": "Template Technical Error", "type": "main", "index": 0 } ], [ { "node": "Incomplete Information Error", "type": "main", "index": 0 } ], [ { "node": "Other Errors", "type": "main", "index": 0 } ] ] }, "DocProcess": { "ai_tool": [ [ { "node": "DocAgent", "type": "ai_tool", "index": 0 } ] ] }, "Edit Fields": { "main": [ [ { "node": "Format Control", "type": "main", "index": 0 } ] ] }, "GetMetaData": { "ai_tool": [ [ { "node": "DocAgent", "type": "ai_tool", "index": 0 } ] ] }, "CopyTemplate": { "main": [ [ { "node": "If1", "type": "main", "index": 0 } ] ] }, "FillDocument": { "main": [ [ { "node": "if", "type": "main", "index": 0 } ] ] }, "GetMetaData2": { "main": [ [ { "node": "Edit Fields", "type": "main", "index": 0 } ] ] }, "Format Control": { "main": [ [ { "node": "Formatting Correction", "type": "main", "index": 0 } ] ] }, "Postgres Chat Memory": { "ai_memory": [ [ { "node": "DocAgent", "type": "ai_memory", "index": 0 } ] ] }, "Formatting Correction": { "main": [ [ { "node": "CopyTemplate", "type": "main", "index": 0 } ] ] }, "Generate Download Link": { "main": [ [ { "node": "Download Link Format", "type": "main", "index": 0 } ] ] }, "User Choice Match Check": { "main": [ [ { "node": "If", "type": "main", "index": 0 } ] ] }, "Google Gemini Chat Model": { "ai_languageModel": [ [ { "node": "DocAgent", "type": "ai_languageModel", "index": 0 } ] ] }, "Structured Output Parser": { "ai_outputParser": [ [ { "node": "User Choice Match Check", "type": "ai_outputParser", "index": 0 } ] ] }, "Google Gemini Chat Model1": { "ai_languageModel": [ [ { "node": "Format Control", "type": "ai_languageModel", "index": 0 } ] ] }, "Google Gemini Chat Model2": { "ai_languageModel": [ [ { "node": "User Choice Match Check", "type": "ai_languageModel", "index": 0 } ] ] }, "User Choice Match Correct": { "main": [ [ { "node": "GetMetaData2", "type": "main", "index": 0 } ] ] }, "When chat message received": { "main": [ [ { "node": "DocAgent", "type": "main", "index": 0 } ] ] }, "When Executed by Another Workflow": { "main": [ [ { "node": "User Choice Match Check", "type": "main", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1" }, "staticData": null, "pinData": {}, "versionId": "073864b0-9a75-4102-9c66-2fecfc9db4a9", "meta": null }, { "id": "4hJdMRiXRJ0thDTS", "name": "Research_Paper_Scraper_to_Google_Sheets", "active": 0, "nodes": [ { "parameters": {}, "id": "867f7363-3abd-409a-98f4-e57ae5458243", "name": "Start Scraping (Manual Trigger)", "type": "n8n-nodes-base.manualTrigger", "position": [ -1088, 592 ], "typeVersion": 1 }, { "parameters": { "assignments": { "assignments": [ { "id": "b530a847-0bb2-4039-9ad0-cbc9cc4d909e", "name": "Topic", "type": "string", "value": "machine+learning" } ] }, "options": {} }, "id": "5ba33c2f-1e25-483a-941c-91091e92f525", "name": "Set Research topic", "type": "n8n-nodes-base.set", "position": [ -864, 592 ], "typeVersion": 3.4 }, { "parameters": { "method": "POST", "url": "https://api.brightdata.com/request", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "Bearer 40127ac3c2b4861572c8ad4c6d2273a0ce0472cb3ea7d3ac85a74a34629067aa" } ] }, "sendBody": true, "bodyParameters": { "parameters": [ { "name": "zone", "value": "n8n_unblocker" }, { "name": "url", "value": "=https://scholar.google.com/scholar?q={{ $json.Topic }}" }, { "name": "country", "value": "us" }, { "name": "format", "value": "raw" } ] }, "options": {} }, "id": "dc144573-0082-445a-8d3a-3cec523ed43f", "name": "Send Request to Bright Data API", "type": "n8n-nodes-base.httpRequest", "position": [ -608, 592 ], "typeVersion": 4.2 }, { "parameters": { "operation": "extractHtmlContent", "extractionValues": { "values": [ { "key": "Title", "cssSelector": "h3.gs_rt, a.gs_rt", "returnArray": true }, { "key": "Author", "cssSelector": "div.gs_a", "returnArray": true }, { "key": "Abstract", "cssSelector": "div.gs_rs", "returnArray": true }, { "key": "PDF Link\t", "cssSelector": "a[href*='pdf']", "returnValue": "attribute", "returnArray": true } ] }, "options": {} }, "id": "35fc6707-0ff3-4d5b-8254-3ad6042ec136", "name": "Extract Data from HTML (Title, Author, etc.)", "type": "n8n-nodes-base.html", "position": [ -400, 592 ], "typeVersion": 1.2 }, { "parameters": { "jsCode": "const titles = items[0].json.Title || [];\nconst authors = items[0].json.Author || [];\nconst abstracts = items[0].json.Abstract || [];\nconst pdfLinks = items[0].json[\"PDF Link\\t\"] || [];\n\nconst output = [];\n\nfor (let i = 0; i < titles.length; i++) {\n // Clean title (remove tags like [PDF][B])\n let title = titles[i].replace(/\\[.*?\\]/g, '').trim();\n\n // Clean author (remove any trailing dashes or HTML leftovers)\n let author = authors[i] ? authors[i].replace(/\\s*-\\s*.*/, '').trim() : '';\n\n // Abstract fallback\n let abstract = abstracts[i] || '';\n\n // Get PDF link — from either a single object or array of duplicates\n let linkObj = pdfLinks[i];\n let pdfLink = '';\n\n if (Array.isArray(linkObj)) {\n // If multiple objects per item\n pdfLink = linkObj.find(obj => obj.href)?.href || '';\n } else if (linkObj?.href) {\n pdfLink = linkObj.href;\n }\n\n // Push cleaned object\n output.push({\n json: {\n title,\n author,\n abstract,\n pdfLink\n }\n });\n}\n\nreturn output;\n" }, "id": "89bfb13c-b73a-4307-ac41-66332efff6eb", "name": "Clean & Structure Extracted Data", "type": "n8n-nodes-base.code", "position": [ -208, 592 ], "typeVersion": 2 }, { "parameters": { "operation": "append", "documentId": { "__rl": true, "mode": "list", "value": "1sOfCFsvHS9-BeE_PQ6J_jtQofCRcOv02XS7hrmFmpxQ", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1sOfCFsvHS9-BeE_PQ6J_jtQofCRcOv02XS7hrmFmpxQ/edit?usp=drivesdk", "cachedResultName": "Research papers from Google Scholar" }, "sheetName": { "__rl": true, "mode": "list", "value": "gid=0", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1sOfCFsvHS9-BeE_PQ6J_jtQofCRcOv02XS7hrmFmpxQ/edit#gid=0", "cachedResultName": "Sheet1" }, "columns": { "value": { "Topic": "={{ $('Set Research topic').item.json.Topic }}", "title": "={{ $json.title }}", "author": "={{ $json.author }}", "abstract": "={{ $json.abstract }}", "pdf link": "={{ $json.pdfLink }}" }, "schema": [ { "id": "Topic", "type": "string", "display": true, "required": false, "displayName": "Topic", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "title", "type": "string", "display": true, "required": false, "displayName": "title", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "author", "type": "string", "display": true, "required": false, "displayName": "author", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "abstract", "type": "string", "display": true, "required": false, "displayName": "abstract", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "pdf link", "type": "string", "display": true, "required": false, "displayName": "pdf link", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "id": "25533cbc-c7a1-4da7-b245-4f76bbb8563a", "name": "Save Results to Google Sheet", "type": "n8n-nodes-base.googleSheets", "position": [ 128, 592 ], "typeVersion": 4.6, "credentials": { "googleSheetsOAuth2Api": { "id": "vwmv6keJbqpxUxCf", "name": "Google Sheets account" } } }, { "parameters": { "content": "## 🔹 **Section 1: User Input & Trigger**\n\n**🧩 Nodes: Start Scraping | Set Topic**\n📍 **Purpose:** Let users easily input the topic they want to scrape — no need to deal with complex URLs.\n\n| 🧱 Node | ✅ New Name | 💡 Description |\n| --------- | ---------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| ⚡ Trigger | **Start Scraping (Manual)** | This node starts the workflow when you click “Execute Workflow.” It's the entry point. |\n| ✏️ Set | **Set Topic (Manual Input)** | Instead of requiring a URL, the user will enter a topic (like \"machine learning\" or \"digital marketing\"). This topic will be used to automatically generate the URL behind the scenes. |\n\n### 🧠 How it helps:\n\n* Great for beginners: Just type the topic, hit run.\n* Keeps the interface clean and user-friendly.\n* Avoids confusion around URLs and formats.\n\n---\n\n", "height": 720, "width": 420, "color": 5 }, "id": "09354cec-3523-4d8e-bfaa-3e92a3380586", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -1136, 64 ], "typeVersion": 1 }, { "parameters": { "content": "## 🔸 **Section 2: Scrape & Parse Website**\n\n**🧩 Nodes: Send Request | Extract HTML | Clean Data**\n📍 **Purpose:** Uses the Bright Data proxy to access the webpage, extract raw HTML content, and clean it up into a readable format (title, author, abstract, etc.).\n\n| 🧱 Node | ✅ New Name | 💡 Description |\n| --------------- | ------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| 🌐 HTTP Request | **Send Topic Request to Bright Data** | This sends a request to the Bright Data API using the topic you set earlier. It uses Bright Data’s network to safely load the actual website and return HTML content. |\n| 🧱 HTML Extract | **Extract Data from Webpage** | Parses the returned HTML to find relevant data like titles, authors, abstracts, and links. |\n| 🔣 Code | **Clean and Format Scraped Data** | A custom code block that organizes the messy data into neat records. For example: title → column A, abstract → column B, etc. |\n\n### 🧠 How it helps:\n\n* Makes web scraping safe and reliable by using proxies.\n* Converts unreadable HTML into structured information.\n* Beginner-friendly: No need to write a parser yourself.\n\n---\n\n", "height": 700, "width": 600, "color": 6 }, "id": "8717cb69-20b4-47a3-b512-1a41733cecd6", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -656, 80 ], "typeVersion": 1 }, { "parameters": { "content": "## 🟢 **Section 3: Save to Google Sheets**\n\n**🧩 Node: Append to Google Sheets**\n📍 **Purpose:** Automatically sends the clean data into a Google Sheet for easy access, filtering, or sharing.\n\n| 🧱 Node | ✅ New Name | 💡 Description |\n| ---------------- | ------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------- |\n| 📄 Google Sheets | **Store Scraped Data in Spreadsheet** | Takes the structured output and appends it to the connected Google Sheet. Each result gets a row with title, author, abstract, etc. |\n\n### 🧠 How it helps:\n\n* No manual copy-pasting ever again!\n* Shareable and searchable format.\n* Updates automatically as you scrape more topics.\n\n---\n\n", "height": 780, "width": 340, "color": 3 }, "id": "04051f0f-9e80-443e-8d89-beb486a93fdd", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 0, 0 ], "typeVersion": 1 }, { "parameters": { "content": "=======================================\n WORKFLOW ASSISTANCE\n=======================================\nFor any questions or support, please contact:\n Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n - YouTube: https://www.youtube.com/@YaronBeen/videos\n - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n=======================================\n", "height": 320, "width": 1300, "color": 4 }, "id": "99770c3a-cb0b-4504-90ae-ce7497b9e478", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [ -2976, 80 ], "typeVersion": 1 }, { "parameters": { "content": "## 🌟 Research Paper Scraper to Google Sheets\n\n**Automate extraction of data from any website based on a topic — no coding needed!**\n\n---\n\n## 🔹 **Section 1: User Input & Trigger**\n\n**🧩 Nodes: Start Scraping | Set Topic**\n📍 **Purpose:** Let users easily input the topic they want to scrape — no need to deal with complex URLs.\n\n| 🧱 Node | ✅ New Name | 💡 Description |\n| --------- | ---------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| ⚡ Trigger | **Start Scraping (Manual)** | This node starts the workflow when you click “Execute Workflow.” It's the entry point. |\n| ✏️ Set | **Set Topic (Manual Input)** | Instead of requiring a URL, the user will enter a topic (like \"machine learning\" or \"digital marketing\"). This topic will be used to automatically generate the URL behind the scenes. |\n\n### 🧠 How it helps:\n\n* Great for beginners: Just type the topic, hit run.\n* Keeps the interface clean and user-friendly.\n* Avoids confusion around URLs and formats.\n\n---\n\n## 🔸 **Section 2: Scrape & Parse Website**\n\n**🧩 Nodes: Send Request | Extract HTML | Clean Data**\n📍 **Purpose:** Uses the Bright Data proxy to access the webpage, extract raw HTML content, and clean it up into a readable format (title, author, abstract, etc.).\n\n| 🧱 Node | ✅ New Name | 💡 Description |\n| --------------- | ------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| 🌐 HTTP Request | **Send Topic Request to Bright Data** | This sends a request to the Bright Data API using the topic you set earlier. It uses Bright Data’s network to safely load the actual website and return HTML content. |\n| 🧱 HTML Extract | **Extract Data from Webpage** | Parses the returned HTML to find relevant data like titles, authors, abstracts, and links. |\n| 🔣 Code | **Clean and Format Scraped Data** | A custom code block that organizes the messy data into neat records. For example: title → column A, abstract → column B, etc. |\n\n### 🧠 How it helps:\n\n* Makes web scraping safe and reliable by using proxies.\n* Converts unreadable HTML into structured information.\n* Beginner-friendly: No need to write a parser yourself.\n\n---\n\n## 🟢 **Section 3: Save to Google Sheets**\n\n**🧩 Node: Append to Google Sheets**\n📍 **Purpose:** Automatically sends the clean data into a Google Sheet for easy access, filtering, or sharing.\n\n| 🧱 Node | ✅ New Name | 💡 Description |\n| ---------------- | ------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------- |\n| 📄 Google Sheets | **Store Scraped Data in Spreadsheet** | Takes the structured output and appends it to the connected Google Sheet. Each result gets a row with title, author, abstract, etc. |\n\n### 🧠 How it helps:\n\n* No manual copy-pasting ever again!\n* Shareable and searchable format.\n* Updates automatically as you scrape more topics.\n\n---\n\n## ✅ What a Beginner Gains from This Workflow\n\n| 💡 Feature | 🚀 Benefit |\n| --------------------------- | --------------------------------------------------------------------------------- |\n| Topic-based input | You don’t need to find or understand complex URLs. Just type “AI” or “marketing.” |\n| Fully automated scraping | You don’t need to open browsers or inspect elements. |\n| Ready-to-use Google Sheet | The final data is clean and saved into a sheet you can use anywhere. |\n| Beautiful, modular workflow | Each step is visual, editable, and reusable without coding skills. |\n\n---\n\n## 🎯 Final Result:\n\nYou type a **topic** → Bright Data scrapes the web → It extracts content → Cleans it → Saves it into **Google Sheets**.\nEverything happens automatically. **No code. No hassle. Just data.**\n\n---\n\n", "height": 1878, "width": 1289, "color": 4 }, "id": "04609657-828d-4301-af59-d1827382ad60", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -2976, 432 ], "typeVersion": 1 }, { "parameters": { "content": "## I’ll receive a tiny commission if you join Bright Data through this link—thanks for fueling more free content!\n\n### https://get.brightdata.com/1tndi4600b25", "height": 240, "width": 380, "color": 7 }, "id": "1915a62c-1574-4195-a67e-9589384111e4", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 400, 0 ], "typeVersion": 1 } ], "connections": { "Set Research topic": { "main": [ [ { "node": "Send Request to Bright Data API", "type": "main", "index": 0 } ] ] }, "Send Request to Bright Data API": { "main": [ [ { "node": "Extract Data from HTML (Title, Author, etc.)", "type": "main", "index": 0 } ] ] }, "Start Scraping (Manual Trigger)": { "main": [ [ { "node": "Set Research topic", "type": "main", "index": 0 } ] ] }, "Clean & Structure Extracted Data": { "main": [ [ { "node": "Save Results to Google Sheet", "type": "main", "index": 0 } ] ] }, "Extract Data from HTML (Title, Author, etc.)": { "main": [ [ { "node": "Clean & Structure Extracted Data", "type": "main", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1" }, "staticData": null, "pinData": {}, "versionId": "91c4740b-7101-4bb0-b8be-82b938136ac8", "meta": { "templateCredsSetupCompleted": true } }, { "id": "llIbF4KKUIWeIOC0", "name": "48_WAgentEnhancement", "active": 0, "nodes": [ { "parameters": { "rules": { "values": [ { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "leftValue": "={{ $json.body.entry[0].messaging[0].message.text }}", "rightValue": "", "operator": { "type": "string", "operation": "exists", "singleValue": true }, "id": "35588a02-6475-400d-b869-da05d7ed0f3a" } ], "combinator": "and" }, "renameOutput": true, "outputKey": "Text" }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "83b9e800-99d0-4e31-8032-ae81aebe86d1", "leftValue": "={{ $json.body.entry[0].messaging[0].message.attachments[0].type }}", "rightValue": "audio", "operator": { "type": "string", "operation": "equals" } } ], "combinator": "and" }, "renameOutput": true, "outputKey": "Audio" }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "3ab7184b-65ec-4ca5-a250-667667999220", "leftValue": "={{ $json.body.entry[0].messaging[0].message.attachments[0].type }}", "rightValue": "image", "operator": { "type": "string", "operation": "equals" } } ], "combinator": "and" }, "renameOutput": true, "outputKey": "Image" } ] }, "options": {} }, "type": "n8n-nodes-base.switch", "typeVersion": 3.2, "position": [ 464, 256 ], "id": "80a6dc90-6945-4b73-b5bc-9baaef121776", "name": "Switch" }, { "parameters": { "resource": "audio", "operation": "transcribe", "options": { "language": "en" } }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ 1104, 240 ], "id": "31e2c97e-690b-462b-ac8b-eeb0bc674827", "name": "Transcribe a recording", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "assignments": { "assignments": [ { "id": "2f35809b-3889-4ef7-a8d5-a4d934842631", "name": "Text", "value": "={{ $json.body.entry[0].messaging[0].message.text }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 1072, 48 ], "id": "ba9eb904-be17-4101-bf7b-1696999229ef", "name": "Text" }, { "parameters": { "assignments": { "assignments": [ { "id": "2f35809b-3889-4ef7-a8d5-a4d934842631", "name": "Text", "value": "={{ $json.text }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 1296, 240 ], "id": "07184ef3-fadb-42f9-9ca1-c146c494768a", "name": "Voice" }, { "parameters": { "url": "={{ $json.body.entry[0].messaging[0].message.attachments[0].payload.url }}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 912, 240 ], "id": "d285b8ed-200d-4792-88c4-b9dce19e78ac", "name": "Download Audio" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "bbb5a4b6-7c2c-4af6-a584-e6352fd0068f", "leftValue": "={{ $('Webhook').item.json.body.entry[0].messaging[0].message.text }}", "rightValue": "", "operator": { "type": "string", "operation": "exists", "singleValue": true } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.2, "position": [ 2112, 96 ], "id": "1269f6a6-cf30-47b5-8b05-ace6e0b8d13d", "name": "If" }, { "parameters": { "resource": "image", "operation": "analyze", "modelId": { "__rl": true, "value": "gpt-4o-mini", "mode": "list", "cachedResultName": "GPT-4O-MINI" }, "text": "=What's in this image?", "inputType": "base64", "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ 1120, 448 ], "id": "b9e58fbe-9e6d-4ba7-84f4-871ab3750b3e", "name": "Analyze image", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "url": "={{ $json.body.entry[0].messaging[0].message.attachments[0].payload.url }}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 912, 448 ], "id": "f79bb336-dc47-438a-b882-e1c12ad40a54", "name": "Download Image" }, { "parameters": { "assignments": { "assignments": [ { "id": "2f35809b-3889-4ef7-a8d5-a4d934842631", "name": "Text", "value": "=# The author provided the image and the text \n\n## Image Description\n{{ $json.content }}\n\n\n\n", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 1312, 448 ], "id": "22e78dec-dc82-4226-a0a7-755c953e9234", "name": "Image + Text" }, { "parameters": { "content": "# Text\n", "height": 176, "width": 768, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ 736, 16 ], "typeVersion": 1, "id": "80319b07-f270-404a-be20-e2a1c0dba58e", "name": "Sticky Note" }, { "parameters": { "content": "# Voice\n", "height": 176, "width": 768, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ 736, 208 ], "typeVersion": 1, "id": "ebf50d84-aef3-4301-a5b8-89e2b95a565d", "name": "Sticky Note1" }, { "parameters": { "content": "# Image\n", "height": 208, "width": 768, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ 736, 400 ], "typeVersion": 1, "id": "8cb93b7a-31ac-4bd0-89b6-dcbea787b130", "name": "Sticky Note2", "disabled": true }, { "parameters": { "content": "# Inputs\n", "height": 720, "width": 1536 }, "type": "n8n-nodes-base.stickyNote", "position": [ 0, 0 ], "typeVersion": 1, "id": "2e81cdbc-b1ca-49d2-a946-634352c186fc", "name": "Sticky Note3" }, { "parameters": { "promptType": "define", "text": "={{ $json.Text }}", "options": { "systemMessage": "=## Overview\nYou are the Parent Orchestrator Agent. Your job is to route and coordinate incoming WhatsApp messages (text, voice, image) to the correct sub-agent or processing tool. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Think: Use to evaluate context and decide routing logic\n- E-Mails Agent: Use for handling email-related queries, sending, replying, or managing inbox\n- Calendar Agent: Use for scheduling, retrieving, updating, or deleting calendar events\n- Web Search Agent: Use to fetch information from the internet (Google Search, Wikipedia, Hacker News)\n- Social Media Agent: Use to create or manage posts on Twitter/X\n\n## Rules\n- Route text, voice, or image inputs based on intent and context\n- Use Think tool when unsure which agent to delegate to\n- Always return the response in the correct WhatsApp output format (text or audio)\n- Keep responses concise and aligned with the casual tone of WhatsApp\n- Confirm completion of actions (emails sent, events scheduled, tweets posted, etc.)\n\n## Instructions\n1) Receive processed input (transcribed text, analyzed image, or raw message)\n2) Decide best-fit agent using Think\n3) Send the task to chosen sub-agent (E-Mails, Calendar, Web Search, Social Media)\n4) Summarize the result and return to WhatsApp as text or audio\n\n## Examples\n1)\nInput: \"What’s on my calendar tomorrow?\"\n- Action: Use Calendar Agent to check tomorrow’s events\n- Output: \"You have 2 events tomorrow: 10 AM – Project Review, 2 PM – Client Call.\"\n\n2)\nInput: Voice message: \"Send an email to Sarah about the meeting.\"\n- Action: Use E-Mails Agent to draft and send email\n- Output: \"Email sent to Sarah: Subject – Meeting Update...\"\n\n3)\nInput: \"Search the latest AI news.\"\n- Action: Use Web Search Agent\n- Output: \"Latest AI news from Hacker News: OpenAI released a new API feature...\"\n\n4)\nInput: \"Post on Twitter: Excited about our new product launch!\"\n- Action: Use Social Media Agent\n- Output: \"Tweet posted: 'Excited about our new product launch!'\"\n" } }, "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 2.1, "position": [ 1808, 96 ], "id": "14dec12e-e5d0-4369-a6ed-4f425de5074e", "name": "Orchestrator Agent", "retryOnFail": false }, { "parameters": { "content": "# Voice\n\n", "height": 176, "width": 576, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "position": [ 2464, 288 ], "typeVersion": 1, "id": "3cd0c4bd-47e4-46bd-9279-51894f902ab9", "name": "Sticky Note4" }, { "parameters": { "content": "# Text\n\n", "height": 176, "width": 576, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "position": [ 2464, 96 ], "typeVersion": 1, "id": "c032a9af-28de-4027-a851-8daa3b6b41d8", "name": "Sticky Note5" }, { "parameters": { "content": "# Output\n", "height": 704, "width": 896 }, "type": "n8n-nodes-base.stickyNote", "position": [ 2304, 0 ], "typeVersion": 1, "id": "5d02267b-cb88-4844-ac05-861cd93386dc", "name": "Sticky Note6" }, { "parameters": { "toolDescription": "Call this tool if you want to do something with calendar.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "=## Overview\nYou are the Calendar Agent. Your job is to manage calendar events by creating, updating, retrieving, or deleting them as requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Create an event: Use to add a new calendar event\n- Delete an event: Use to remove an existing event\n- Get an event: Use to fetch details of a specific event\n- Get Many Events: Use to list multiple upcoming or past events\n- Update Events: Use to modify details of an existing event\n\n## Rules\n- Always confirm the date, time, and event details before creating or updating\n- Use Get Many Events before creating to avoid duplicates if unsure\n- Keep responses short and clear for WhatsApp delivery\n- If an event cannot be found, respond politely with a fallback message\n\n## Instructions\n1) Interpret the user’s calendar request\n2) Select the correct tool (create, get, update, delete)\n3) Execute the action and return a human-friendly summary\n4) Always confirm the action back to the user\n\n## Examples\n1)\nInput: \"Add a meeting with Sarah tomorrow at 3 PM\"\n- Action: Use Create an event\n- Output: \"Meeting with Sarah scheduled for tomorrow at 3 PM.\"\n\n2)\nInput: \"What’s on my calendar this week?\"\n- Action: Use Get Many Events\n- Output: \"You have 4 events this week. First: Team Sync, Monday 10 AM.\"\n\n3)\nInput: \"Cancel my dentist appointment on Friday\"\n- Action: Use Delete an event\n- Output: \"Dentist appointment on Friday has been deleted.\"\n" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ 2512, 928 ], "id": "f1e23504-2685-458d-8e6c-6fa00fd787aa", "name": "Calendar Agent" }, { "parameters": { "toolDescription": "Call this tool if you want to do something with E-mails.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "You are a helpful assistant" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ 1440, 960 ], "id": "2c1ec25d-c474-46d9-8268-bb15f0e83172", "name": "E-Mails Agent1" }, { "parameters": {}, "type": "@n8n/n8n-nodes-langchain.toolThink", "typeVersion": 1.1, "position": [ 2080, 256 ], "id": "7a2ff940-1043-4d42-a2d5-540c7cf36603", "name": "Think" }, { "parameters": { "toolDescription": "Call this tool to search the web.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "## Overview\nYou are the Web Search Agent. Your job is to search the web and retrieve reliable information from news, Wikipedia, or Google Search when requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Get an article in Hacker News: Use to fetch recent Hacker News articles\n- Wikipedia: Use to retrieve encyclopedic and factual information\n- Google Search (SerpApi): Use for general web searches across the internet\n\n## Rules\n- Always choose the most relevant tool for the query\n- Return concise, clear, and factual responses\n- Summarize results instead of dumping raw data\n- Cite the source of information (e.g., \"According to Wikipedia...\")\n\n## Instructions\n1) Interpret the user’s query\n2) Select the best tool (Hacker News, Wikipedia, Google Search)\n3) Retrieve and summarize the answer\n4) Return only the relevant response in plain text\n\n## Examples\n1)\nInput: \"What’s the latest AI news?\"\n- Action: Use Hacker News tool to get recent articles\n- Output: \"Latest on Hacker News: OpenAI released a new API feature...\"\n\n2)\nInput: \"Who invented the telephone?\"\n- Action: Use Wikipedia tool\n- Output: \"According to Wikipedia, Alexander Graham Bell is credited with inventing the telephone in 1876.\"\n\n3)\nInput: \"Best restaurants in New York 2025\"\n- Action: Use Google Search (SerpApi)\n- Output: \"Top-rated restaurants in New York (2025): Le Bernardin, Eleven Madison Park, Atomix.\"\n" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ 480, 976 ], "id": "9d20d825-5141-4f71-a116-bed3d3fbaa0f", "name": "Search Agent", "notesInFlow": false }, { "parameters": { "content": "# Orchestrator Agent\n\n", "height": 368, "width": 736, "color": 5 }, "type": "n8n-nodes-base.stickyNote", "position": [ 1552, 0 ], "typeVersion": 1, "id": "bb96c961-8c12-4fc6-b41a-f2dd8ccf7955", "name": "Sticky Note7" }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.toolSerpApi", "typeVersion": 1, "position": [ 816, 1200 ], "id": "a40a6382-fb51-4bb0-9c2f-119d2bc45aad", "name": "Google Search", "credentials": { "serpApi": { "id": "KVyJYa7fBU7tTN4U", "name": "SerpAPI account" } } }, { "parameters": {}, "type": "@n8n/n8n-nodes-langchain.toolWikipedia", "typeVersion": 1, "position": [ 672, 1200 ], "id": "35514ba8-ef90-420f-9a9c-5677e221cea2", "name": "Wikipedia" }, { "parameters": { "articleId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Article_ID', ``, 'string') }}", "additionalFields": {} }, "type": "n8n-nodes-base.hackerNewsTool", "typeVersion": 1, "position": [ 528, 1200 ], "id": "87e2cc28-25dc-4691-a9c3-c92ff0a79190", "name": "Get an article in Hacker News" }, { "parameters": { "content": "# Web Search Agent\n\n", "height": 496, "width": 1040, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ 0, 864 ], "typeVersion": 1, "id": "3b557a67-758e-4e98-b450-16b6fb73d0aa", "name": "Sticky Note8" }, { "parameters": { "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "start": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Start', ``, 'string') }}", "end": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('End', ``, 'string') }}", "useDefaultReminders": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Use_Default_Reminders', ``, 'boolean') }}", "additionalFields": { "attendees": [], "description": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Description', ``, 'string') }}", "summary": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Summary', ``, 'string') }}" } }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 2480, 1168 ], "id": "95cadf70-1348-4476-9e7d-a2036b454f84", "name": "Create an event", "credentials": { "googleCalendarOAuth2Api": { "id": "4OoIHjw6F7hm0LsY", "name": "Google Calendar account" } } }, { "parameters": { "operation": "delete", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "eventId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 2640, 1168 ], "id": "20c615eb-ac9e-49e3-89c6-68d3ce996177", "name": "Delete an event", "credentials": { "googleCalendarOAuth2Api": { "id": "4OoIHjw6F7hm0LsY", "name": "Google Calendar account" } } }, { "parameters": { "operation": "get", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "eventId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 2768, 1168 ], "id": "ec076b7d-ee14-4ee8-ba54-4f664547525f", "name": "Get an event", "credentials": { "googleCalendarOAuth2Api": { "id": "4OoIHjw6F7hm0LsY", "name": "Google Calendar account" } } }, { "parameters": { "operation": "getAll", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "returnAll": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}", "timeMin": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('After', ``, 'string') }}", "timeMax": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Before', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 2912, 1168 ], "id": "423b88c2-ec32-47af-89d0-b9ba304383ff", "name": "Get Many Events", "credentials": { "googleCalendarOAuth2Api": { "id": "4OoIHjw6F7hm0LsY", "name": "Google Calendar account" } } }, { "parameters": { "operation": "update", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "eventId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}", "updateFields": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 3056, 1168 ], "id": "934cef67-dd2b-44e1-ad3f-40e0842ff71a", "name": "Update Events" }, { "parameters": { "sendTo": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('To', ``, 'string') }}", "subject": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Subject', ``, 'string') }}", "emailType": "text", "message": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}", "options": { "appendAttribution": false } }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 1232, 1200 ], "id": "3cd2e4d0-3a29-4480-a1f0-05fc3635e769", "name": "Send a message", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "getAll", "returnAll": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}", "simple": false, "filters": {}, "options": {} }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 1520, 1200 ], "id": "b9b5b8e2-5e4d-4938-b55e-0174abb608cc", "name": "Get many e-mails", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "delete", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}" }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 1376, 1200 ], "id": "2111ca29-cd43-465c-bd4e-3d292d0b2539", "name": "Delete an e-mail", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "markAsRead", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}" }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 1680, 1200 ], "id": "6e78796e-086c-4ad6-8065-1894e874cd3b", "name": "Mark as read", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "markAsUnread", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}" }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 1840, 1200 ], "id": "6bac88ba-0729-4522-aed7-629969dce947", "name": "Mark as unread", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "reply", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}", "emailType": "text", "message": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 2016, 1200 ], "id": "41672230-8933-401f-8441-95e7ee6aec4e", "name": "Reply to e-mail", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "content": "# E-Mail Agent\n\n\n", "height": 496, "width": 1232, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ 1056, 864 ], "typeVersion": 1, "id": "f95b9ae6-e8fa-461a-9a9c-a7917bfa6099", "name": "Sticky Note9" }, { "parameters": { "toolDescription": "Call this tool if you want to post on x.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "=## Role\nYou are an expert in creating high-quality, engaging, and modern posts for **X (formerly Twitter)**. \nYou receive information and generate posts that are:\n\n- **Concise and informative**, without unnecessary details. \n- **Engaging and dynamic**, designed to capture attention and encourage interaction. \n- **Trending and optimized**, using relevant keywords and hashtags for maximum reach. \n- **Structured for readability**, utilizing short paragraphs, line breaks, and emojis to enhance engagement. \n\n---\n\n## Post Style\nYour posts should primarily focus on **AI topics** and often begin with this format:\n\n👉 *“XYZ just dropped XYZ, and people are already doing crazy stuff with it—10 examples.”* \n\n⚠️ **Important:** When creating a post, always use the **savePost** tool to store it. \n\n---\n\n## Tools\n\n### savePost\nUse this tool to save the post in a **Google Sheets document**. 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Tweet in X" }, { "parameters": { "operation": "appendOrUpdate", "documentId": { "__rl": true, "value": "1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU", "mode": "list", "cachedResultName": "X-Posts", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU/edit?usp=drivesdk" }, "sheetName": { "__rl": true, "value": "gid=0", "mode": "list", "cachedResultName": "Sheet1", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU/edit#gid=0" }, "columns": { "mappingMode": "defineBelow", "value": { "Date ": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Date_', ``, 'string') }}", "Theme": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Theme', ``, 'string') }}", "Posts": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Posts', ``, 'string') }}" }, "matchingColumns": [ "Date " ], "schema": [ { "id": "Date ", "displayName": "Date ", "required": false, "defaultMatch": false, "display": 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"version": 2 }, "conditions": [ { "id": "bbb5a4b6-7c2c-4af6-a584-e6352fd0068f", "leftValue": "={{ $('Webhook').item.json.body.entry[0].messaging[0].message.text }}", "rightValue": "", "operator": { "type": "string", "operation": "exists", "singleValue": true } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.2, "position": [ -3776, -2144 ], "id": "34f06986-e9ca-41f7-b26d-1a05e875d04d", "name": "If" }, { "parameters": { "resource": "image", "operation": "analyze", "modelId": { "__rl": true, "value": "gpt-4o-mini", "mode": "list", "cachedResultName": "GPT-4O-MINI" }, "text": "=What's in this image?", "inputType": "base64", "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ -4768, -1792 ], "id": "8c9f9eaf-2b64-4df0-8f74-e4048aa7b70e", "name": "Analyze image", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "url": "={{ $json.body.entry[0].messaging[0].message.attachments[0].payload.url }}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ -4976, -1792 ], "id": "29cb63b9-bcc1-4458-9de6-2920a4515abd", "name": "Download Image" }, { "parameters": { "assignments": { "assignments": [ { "id": "2f35809b-3889-4ef7-a8d5-a4d934842631", "name": "Text", "value": "=# The author provided the image and the text \n\n## Image Description\n{{ $json.content }}\n\n\n\n", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -4576, -1792 ], "id": "4a4105eb-5808-46f6-866c-6c506042b315", "name": "Image + Text" }, { "parameters": { "content": "# Text\n", "height": 176, "width": 768, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ -5152, -2224 ], "typeVersion": 1, "id": "d061f593-94b3-4b1e-8ad3-3ca1526b73d3", "name": "Sticky Note" }, { "parameters": { "content": "# Voice\n", "height": 176, "width": 768, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ -5152, -2032 ], "typeVersion": 1, "id": "7ccf193a-c915-4da4-893a-26200a4c10a5", "name": "Sticky Note1" }, { "parameters": { "content": "# Image\n", "height": 208, "width": 768, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ -5152, -1840 ], "typeVersion": 1, "id": "001baee1-19b5-4c96-aff2-ee0b491d9562", "name": "Sticky Note2", "disabled": true }, { "parameters": { "content": "# Inputs\n", "height": 720, "width": 1536 }, "type": "n8n-nodes-base.stickyNote", "position": [ -5888, -2240 ], "typeVersion": 1, "id": "922b62f1-ad9b-461a-a391-28ee1c4c0547", "name": "Sticky Note3" }, { "parameters": { "promptType": "define", "text": "={{ $json.Text }}", "options": { "systemMessage": "=## Overview\nYou are the Parent Orchestrator Agent. Your job is to route and coordinate incoming WhatsApp messages (text, voice, image) to the correct sub-agent or processing tool. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Think: Use to evaluate context and decide routing logic\n- E-Mails Agent: Use for handling email-related queries, sending, replying, or managing inbox\n- Calendar Agent: Use for scheduling, retrieving, updating, or deleting calendar events\n- Web Search Agent: Use to fetch information from the internet (Google Search, Wikipedia, Hacker News)\n- Social Media Agent: Use to create or manage posts on Twitter/X\n\n## Rules\n- Route text, voice, or image inputs based on intent and context\n- Use Think tool when unsure which agent to delegate to\n- Always return the response in the correct WhatsApp output format (text or audio)\n- Keep responses concise and aligned with the casual tone of WhatsApp\n- Confirm completion of actions (emails sent, events scheduled, tweets posted, etc.)\n\n## Instructions\n1) Receive processed input (transcribed text, analyzed image, or raw message)\n2) Decide best-fit agent using Think\n3) Send the task to chosen sub-agent (E-Mails, Calendar, Web Search, Social Media)\n4) Summarize the result and return to WhatsApp as text or audio\n\n## Examples\n1)\nInput: \"What’s on my calendar tomorrow?\"\n- Action: Use Calendar Agent to check tomorrow’s events\n- Output: \"You have 2 events tomorrow: 10 AM – Project Review, 2 PM – Client Call.\"\n\n2)\nInput: Voice message: \"Send an email to Sarah about the meeting.\"\n- Action: Use E-Mails Agent to draft and send email\n- Output: \"Email sent to Sarah: Subject – Meeting Update...\"\n\n3)\nInput: \"Search the latest AI news.\"\n- Action: Use Web Search Agent\n- Output: \"Latest AI news from Hacker News: OpenAI released a new API feature...\"\n\n4)\nInput: \"Post on Twitter: Excited about our new product launch!\"\n- Action: Use Social Media Agent\n- Output: \"Tweet posted: 'Excited about our new product launch!'\"\n" } }, "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 2.1, "position": [ -4080, -2144 ], "id": "fe0a1f25-9542-4f71-ab54-23b82b87c2d8", "name": "Orchestrator Agent", "retryOnFail": false }, { "parameters": { "content": "# Voice\n\n", "height": 176, "width": 576, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "position": [ -3424, -1952 ], "typeVersion": 1, "id": "91d16216-8fb2-48ed-9a3d-e6feddc544ba", "name": "Sticky Note4" }, { "parameters": { "content": "# Text\n\n", "height": 176, "width": 576, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "position": [ -3424, -2144 ], "typeVersion": 1, "id": "d4c75c64-8211-4413-8f1c-75b3a53706ea", "name": "Sticky Note5" }, { "parameters": { "content": "# Output\n", "height": 704, "width": 896 }, "type": "n8n-nodes-base.stickyNote", "position": [ -3584, -2240 ], "typeVersion": 1, "id": "457092bb-d32e-4b48-bb5e-0ffcf36cb70b", "name": "Sticky Note6" }, { "parameters": { "toolDescription": "Call this tool if you want to do something with calendar.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "=## Overview\nYou are the Calendar Agent. Your job is to manage calendar events by creating, updating, retrieving, or deleting them as requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Create an event: Use to add a new calendar event\n- Delete an event: Use to remove an existing event\n- Get an event: Use to fetch details of a specific event\n- Get Many Events: Use to list multiple upcoming or past events\n- Update Events: Use to modify details of an existing event\n\n## Rules\n- Always confirm the date, time, and event details before creating or updating\n- Use Get Many Events before creating to avoid duplicates if unsure\n- Keep responses short and clear for WhatsApp delivery\n- If an event cannot be found, respond politely with a fallback message\n\n## Instructions\n1) Interpret the user’s calendar request\n2) Select the correct tool (create, get, update, delete)\n3) Execute the action and return a human-friendly summary\n4) Always confirm the action back to the user\n\n## Examples\n1)\nInput: \"Add a meeting with Sarah tomorrow at 3 PM\"\n- Action: Use Create an event\n- Output: \"Meeting with Sarah scheduled for tomorrow at 3 PM.\"\n\n2)\nInput: \"What’s on my calendar this week?\"\n- Action: Use Get Many Events\n- Output: \"You have 4 events this week. First: Team Sync, Monday 10 AM.\"\n\n3)\nInput: \"Cancel my dentist appointment on Friday\"\n- Action: Use Delete an event\n- Output: \"Dentist appointment on Friday has been deleted.\"\n" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ -3376, -1312 ], "id": "2911e432-7bbe-493c-8181-ccea0a371bb4", "name": "Calendar Agent" }, { "parameters": { "toolDescription": "Call this tool if you want to do something with E-mails.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "You are a helpful assistant" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ -4448, -1280 ], "id": "3491d4c6-6b57-4c98-950b-c191f434c00a", "name": "E-Mails Agent1" }, { "parameters": {}, "type": "@n8n/n8n-nodes-langchain.toolThink", "typeVersion": 1.1, "position": [ -3808, -1984 ], "id": "1c379add-a69e-4c16-93db-92142617d4ab", "name": "Think" }, { "parameters": { "toolDescription": "Call this tool to search the web.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "## Overview\nYou are the Web Search Agent. Your job is to search the web and retrieve reliable information from news, Wikipedia, or Google Search when requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Get an article in Hacker News: Use to fetch recent Hacker News articles\n- Wikipedia: Use to retrieve encyclopedic and factual information\n- Google Search (SerpApi): Use for general web searches across the internet\n\n## Rules\n- Always choose the most relevant tool for the query\n- Return concise, clear, and factual responses\n- Summarize results instead of dumping raw data\n- Cite the source of information (e.g., \"According to Wikipedia...\")\n\n## Instructions\n1) Interpret the user’s query\n2) Select the best tool (Hacker News, Wikipedia, Google Search)\n3) Retrieve and summarize the answer\n4) Return only the relevant response in plain text\n\n## Examples\n1)\nInput: \"What’s the latest AI news?\"\n- Action: Use Hacker News tool to get recent articles\n- Output: \"Latest on Hacker News: OpenAI released a new API feature...\"\n\n2)\nInput: \"Who invented the telephone?\"\n- Action: Use Wikipedia tool\n- Output: \"According to Wikipedia, Alexander Graham Bell is credited with inventing the telephone in 1876.\"\n\n3)\nInput: \"Best restaurants in New York 2025\"\n- Action: Use Google Search (SerpApi)\n- Output: \"Top-rated restaurants in New York (2025): Le Bernardin, Eleven Madison Park, Atomix.\"\n" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ -5408, -1264 ], "id": "5d3a8f66-772a-4d6c-a3fa-049d78096a7c", "name": "Search Agent", "notesInFlow": false }, { "parameters": { "content": "# Orchestrator Agent\n\n", "height": 368, "width": 736, "color": 5 }, "type": "n8n-nodes-base.stickyNote", "position": [ -4336, -2240 ], "typeVersion": 1, "id": "cdd78443-3095-4e9f-8793-13805e31c8a6", "name": "Sticky Note7" }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.toolSerpApi", "typeVersion": 1, "position": [ -5072, -1040 ], "id": "1b91ba62-74e1-4785-8eb4-d0363cfd99e2", "name": "Google Search", "credentials": { "serpApi": { "id": "KVyJYa7fBU7tTN4U", "name": "SerpAPI account" } } }, { "parameters": {}, "type": "@n8n/n8n-nodes-langchain.toolWikipedia", "typeVersion": 1, "position": [ -5216, -1040 ], "id": "803762df-f6bb-4a3a-a7e0-7a1f04375807", "name": "Wikipedia" }, { "parameters": { "articleId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Article_ID', ``, 'string') }}", "additionalFields": {} }, "type": "n8n-nodes-base.hackerNewsTool", "typeVersion": 1, "position": [ -5360, -1040 ], "id": "adcf7617-17d7-4cbf-9ada-f0ecac175ad5", "name": "Get an article in Hacker News" }, { "parameters": { "content": "# Web Search Agent\n\n", "height": 496, "width": 1040, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ -5888, -1376 ], "typeVersion": 1, "id": "f6d7b4c7-a0ff-41b1-9799-81ef2df06d23", "name": "Sticky Note8" }, { "parameters": { "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "start": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Start', ``, 'string') }}", "end": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('End', ``, 'string') }}", "useDefaultReminders": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Use_Default_Reminders', ``, 'boolean') }}", "additionalFields": { "attendees": [], "description": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Description', ``, 'string') }}", "summary": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Summary', ``, 'string') }}" } }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ -3408, -1072 ], "id": "88941143-170a-4789-aafc-3ff749a8e0dd", "name": "Create an event", "credentials": { "googleCalendarOAuth2Api": { "id": "4OoIHjw6F7hm0LsY", "name": "Google Calendar account" } } }, { "parameters": { "operation": "delete", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "eventId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ -3248, -1072 ], "id": "1a694413-3cc5-453b-842b-9bb5b9a238d3", "name": "Delete an event", "credentials": { "googleCalendarOAuth2Api": { "id": "4OoIHjw6F7hm0LsY", "name": "Google Calendar account" } } }, { "parameters": { "operation": "get", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "eventId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ -3120, -1072 ], "id": "3e174674-aac5-4612-8da1-ee8dd9d0f2bd", "name": "Get an event", "credentials": { "googleCalendarOAuth2Api": { "id": "4OoIHjw6F7hm0LsY", "name": "Google Calendar account" } } }, { "parameters": { "operation": "getAll", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "returnAll": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}", "timeMin": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('After', ``, 'string') }}", "timeMax": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Before', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ -2976, -1072 ], "id": "fcfb7042-21d9-413a-9bc7-b4afd1732f70", "name": "Get Many Events", "credentials": { "googleCalendarOAuth2Api": { "id": "4OoIHjw6F7hm0LsY", "name": "Google Calendar account" } } }, { "parameters": { "operation": "update", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "eventId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}", "updateFields": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ -2832, -1072 ], "id": "f656100f-1973-429b-bce7-c6e722c26046", "name": "Update Events" }, { "parameters": { "sendTo": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('To', ``, 'string') }}", "subject": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Subject', ``, 'string') }}", "emailType": "text", "message": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}", "options": { "appendAttribution": false } }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ -4656, -1040 ], "id": "9941796f-7849-4120-ba7f-c84130b5b4ff", "name": "Send a message", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "getAll", "returnAll": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}", "simple": false, "filters": {}, "options": {} }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ -4368, -1040 ], "id": "c825aaa3-845f-43b0-b681-6fdcbb0dac69", "name": "Get many e-mails", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "delete", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}" }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ -4512, -1040 ], "id": "76c40dfd-3fd2-4683-b190-c562f2b9ef64", "name": "Delete an e-mail", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "markAsRead", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}" }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ -4208, -1040 ], "id": "a68bef86-c5da-422d-884e-e3b67bde31e1", "name": "Mark as read", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "markAsUnread", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}" }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ -4048, -1040 ], "id": "03f2dd4c-5876-4c98-b47c-361fd8805490", "name": "Mark as unread", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "reply", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}", "emailType": "text", "message": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ -3872, -1040 ], "id": "455e9418-6e13-45c0-9148-194391b087d8", "name": "Reply to e-mail", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "content": "# E-Mail Agent\n\n\n", "height": 496, "width": 1232, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ -4832, -1376 ], "typeVersion": 1, "id": "9abc682d-5d0c-431e-82f7-d4ab411b4958", "name": "Sticky Note9" }, { "parameters": { "toolDescription": "Call this tool if you want to post on x.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "=## Role\nYou are an expert in creating high-quality, engaging, and modern posts for **X (formerly Twitter)**. \nYou receive information and generate posts that are:\n\n- **Concise and informative**, without unnecessary details. \n- **Engaging and dynamic**, designed to capture attention and encourage interaction. \n- **Trending and optimized**, using relevant keywords and hashtags for maximum reach. \n- **Structured for readability**, utilizing short paragraphs, line breaks, and emojis to enhance engagement. \n\n---\n\n## Post Style\nYour posts should primarily focus on **AI topics** and often begin with this format:\n\n👉 *“XYZ just dropped XYZ, and people are already doing crazy stuff with it—10 examples.”* \n\n⚠️ **Important:** When creating a post, always use the **savePost** tool to store it. \n\n---\n\n## Tools\n\n### savePost\nUse this tool to save the post in a **Google Sheets document**. Include:\n\n- **Column 1:** Current date \n- **Column 2:** Post topic \n- **Column 3:** Post content (plain text) \n" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ -4080, -1792 ], "id": "88b82b8f-b968-4511-8516-f5911d3489ce", "name": "Social Media Agent" }, { "parameters": { "content": "# Calender Agent\n\n\n", "height": 496, "width": 880, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ -3584, -1376 ], "typeVersion": 1, "id": "125112f1-e704-4c95-b593-f62d6c3ec45b", "name": "Sticky Note10" }, { "parameters": { "content": "# Social Media - Twitter\n\n\n", "height": 336, "width": 736, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ -4336, -1856 ], "typeVersion": 1, "id": "fb84bd15-5e38-42d7-a215-741718b4b1a4", "name": "Sticky Note11" }, { "parameters": { "additionalFields": {} }, "type": "n8n-nodes-base.twitterTool", "typeVersion": 2, "position": [ -4096, -1648 ], "id": "fbdee58a-4421-4d96-8373-a0b78b953032", "name": "Create Tweet in X" }, { "parameters": { "operation": "appendOrUpdate", "documentId": { "__rl": true, "value": "1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU", "mode": "list", "cachedResultName": "X-Posts", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU/edit?usp=drivesdk" }, "sheetName": { "__rl": true, "value": "gid=0", "mode": "list", "cachedResultName": "Sheet1", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU/edit#gid=0" }, "columns": { "mappingMode": "defineBelow", "value": { "Date ": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Date_', ``, 'string') }}", "Theme": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Theme', ``, 'string') }}", "Posts": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Posts', ``, 'string') }}" }, "matchingColumns": [ "Date " ], "schema": [ { "id": "Date ", "displayName": "Date ", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true, "removed": false }, { "id": "Theme", "displayName": "Theme", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Posts", "displayName": "Posts", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true } ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "type": "n8n-nodes-base.googleSheetsTool", "typeVersion": 4.7, "position": [ -3792, -1648 ], "id": "b80952d7-bdae-4105-9c06-4692024ca414", "name": "x post", "credentials": { "googleSheetsOAuth2Api": { "id": "vwmv6keJbqpxUxCf", "name": "Google Sheets account" } } }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ -4224, -1984 ], "id": "4ec19962-b7e5-4da2-acd5-18d1f7732067", "name": "GPT-4.1-mini", 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"type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ -3296, -1920 ], "id": "da50a341-54a3-4aa8-bd1f-be6d013cae48", "name": "Generate audio", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "method": "POST", "url": "=https://graph.facebook.com/v23.0/{{ $('Webhook').item.json.body.entry[0].messaging[0].recipient.id }}/messages", "sendQuery": true, "queryParameters": { "parameters": [ { "name": "access_token", "value": "EAFdlHQU1mDsBPYMzSH9ZAzZA3ZAuIt1aLygVMGS68pJ12Pm71fI7x9jimcmEf6LpuLqy5ZCyluxXZBEDJrR0meTCrPnUjrsyZBSwtucPTRD1XZCnjQowBCpzJqKvGBQbr3R52gZAibEZB16tZBMSqcgPLOqmiH5ykmkmQkMovf9UBBjr9Q2Vf1bK48wrMVEUzNINPQ1wXqlAZDZD" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "={\n \"recipient\": {\n \"id\": \"{{$('Webhook').item.json.body.entry[0].messaging[0].sender.id}}\"\n },\n \"messaging_type\": \"RESPONSE\",\n \"message\": {\n \"text\": \"{{$json.output}}\"\n }\n}\n", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ -3232, -2128 ], "id": "69112241-7e57-40fd-9f73-adddd3dd88aa", "name": "send text" }, { "parameters": { "method": "POST", "url": "https://graph.facebook.com/v23.0/me/messages", "sendQuery": true, "queryParameters": { "parameters": [ { "name": "access_token", "value": "EAFdlHQU1mDsBPen2Nhg6WXiVvLZAxCXDSV9K8PqCSdbw9w35JFRoa0x74iUy6C7EIZBEDuTEfdWhldmSdbPNksZAi7VxwdRZCyENeX0ZCzI8PDU9ERxOnZBJYYZA4njZCZCVx8dIrmqkjojpyeAlQpUjLO2PXTZAw7W4NKTE34ZAieVYUxY6IypZAje0ATPU9GUxeO3phWueCQZDZD" } ] }, "sendBody": true, "contentType": "multipart-form-data", "bodyParameters": { "parameters": [ { "name": "recipient", "value": "={\"id\":\"{{ $('Webhook').item.json.body.entry[0].messaging[0].sender.id }}\"}" }, { "name": "message", "value": "{\"attachment\":{\"type\":\"audio\",\"payload\":{}}}" }, { "parameterType": "formBinaryData", "name": "={{ $json.fileName }}", "inputDataFieldName": "data" } ] }, "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ -3056, -1920 ], "id": "db42a7a2-61ac-489c-a39f-0c4b989511ff", "name": "send text1" } ], "connections": { "Webhook": { "main": [ [ { "node": "Respond to Webhook", "type": "main", "index": 0 } ], [] ] }, "Switch": { "main": [ [ { "node": "Text", "type": "main", "index": 0 } ], [ { "node": "Download Audio", "type": "main", "index": 0 } ], [ { "node": "Download Image", "type": "main", "index": 0 } ] ] }, "Transcribe a recording": { "main": [ [ { "node": "Voice", "type": "main", "index": 0 } ] ] }, "Text": { "main": [ [ { "node": "Orchestrator Agent", "type": "main", "index": 0 } ] ] }, "Voice": { "main": [ [ { "node": "Orchestrator Agent", "type": "main", "index": 0 } ] ] }, "Download Audio": { "main": [ [ { "node": "Transcribe a recording", "type": "main", "index": 0 } ] ] }, "If": { "main": [ [ { "node": "send text", "type": "main", "index": 0 } ], [ { "node": "Generate audio", "type": "main", "index": 0 } ] ] }, "Download Image": { "main": [ [ { "node": "Analyze image", "type": "main", "index": 0 } ] ] }, "Analyze image": { "main": [ [ { "node": "Image + Text", "type": "main", "index": 0 } ] ] }, "Image + Text": { "main": [ [ { "node": "Orchestrator Agent", "type": "main", "index": 0 } ] ] }, "Orchestrator Agent": { "main": [ [ { "node": "If", "type": "main", "index": 0 } ] ] }, "Think": { "ai_tool": [ [ { "node": "Orchestrator Agent", "type": "ai_tool", "index": 0 } ] ] }, "Calendar Agent": { "ai_tool": [ [ { "node": "Orchestrator Agent", "type": "ai_tool", "index": 0 } ] ] }, "E-Mails Agent1": { "ai_tool": [ [ { "node": "Orchestrator Agent", "type": "ai_tool", "index": 0 } ] ] }, "Search Agent": { "ai_tool": [ [ { "node": "Orchestrator Agent", "type": "ai_tool", "index": 0 } ] ] }, "Google Search": { "ai_tool": [ [ { "node": "Search Agent", "type": "ai_tool", "index": 0 } ] ] }, "Wikipedia": { "ai_tool": [ [ { "node": "Search Agent", "type": "ai_tool", "index": 0 } ] ] }, "Get an article in Hacker News": { "ai_tool": [ [ { "node": "Search Agent", "type": "ai_tool", "index": 0 } ] ] }, "Create an event": { "ai_tool": [ [ { "node": "Calendar Agent", "type": "ai_tool", "index": 0 } ] ] }, "Delete an event": { "ai_tool": [ [ { "node": "Calendar Agent", "type": "ai_tool", "index": 0 } ] ] }, "Get an event": { "ai_tool": [ [ { "node": "Calendar Agent", "type": "ai_tool", "index": 0 } ] ] }, "Get Many Events": { "ai_tool": [ [ { "node": "Calendar Agent", "type": "ai_tool", "index": 0 } ] ] }, "Send a message": { "ai_tool": [ [ { "node": "E-Mails Agent1", "type": "ai_tool", "index": 0 } ] ] }, "Delete an e-mail": { "ai_tool": [ [ { "node": "E-Mails Agent1", "type": "ai_tool", "index": 0 } ] ] }, "Get many e-mails": { "ai_tool": [ [ { "node": "E-Mails Agent1", "type": "ai_tool", "index": 0 } ] ] }, "Mark as read": { "ai_tool": [ [ { "node": "E-Mails Agent1", "type": "ai_tool", "index": 0 } ] ] }, "Mark as unread": { "ai_tool": [ [ { "node": "E-Mails Agent1", "type": "ai_tool", "index": 0 } ] ] }, "Reply to e-mail": { "ai_tool": [ [ { "node": "E-Mails Agent1", "type": "ai_tool", "index": 0 } ] ] }, "Social Media Agent": { "ai_tool": [ [ { "node": "Orchestrator Agent", "type": "ai_tool", "index": 0 } ] ] }, "Create Tweet in X": { "ai_tool": [ [ { "node": "Social Media Agent", "type": "ai_tool", "index": 0 } ] ] }, "x post": { "ai_tool": [ [ { "node": "Social Media Agent", "type": "ai_tool", "index": 0 } ] ] }, "GPT-4.1-mini": { "ai_languageModel": [ [ { "node": "Orchestrator Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "GPT-4.1-mini1": { "ai_languageModel": [ [ { "node": "Social Media Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "GPT-4.1-mini2": { "ai_languageModel": [ [ { "node": "Search Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "GPT-4.1-mini3": { "ai_languageModel": [ [ { "node": "E-Mails Agent1", "type": "ai_languageModel", "index": 0 } ] ] }, "GPT-4.1-mini4": { "ai_languageModel": [ [ { "node": "Calendar Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Simple Memory": { "ai_memory": [ [ { "node": "Orchestrator Agent", "type": "ai_memory", "index": 0 } ] ] }, "Generate audio": { "main": [ [ { "node": "send text1", "type": "main", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1" }, "staticData": null, "pinData": {}, "versionId": "7d2726e4-231f-4850-b68b-847617360ab8", "meta": { "templateCredsSetupCompleted": true } }, { "id": "3fJnOphyAaeHxRUd", "name": "My_WAgentEnhancement", "active": 0, "nodes": [ { "parameters": { "multipleMethods": true, "path": "f31142a7-e4e2-4983-b337-7385c7343fbb", "responseMode": "responseNode", "options": {} }, "type": "n8n-nodes-base.webhook", "typeVersion": 2.1, "position": [ -2560, -704 ], "id": "754d20c3-2a0c-4251-a8fb-26176ba13d71", "name": "Webhook", "webhookId": "f31142a7-e4e2-4983-b337-7385c7343fbb" }, { "parameters": { "respondWith": "text", "responseBody": "={{ $json.query[\"hub.challenge\"] }}", "options": {} }, "type": "n8n-nodes-base.respondToWebhook", "typeVersion": 1.4, "position": [ -2368, -864 ], "id": "eb5ff0b9-f04c-4d5a-8118-b8b85be0d181", "name": "Respond to Webhook" }, { "parameters": { "rules": { "values": [ { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "leftValue": "={{ $json.body.entry[0].messaging[0].message.text }}", "rightValue": "", "operator": { "type": "string", "operation": "exists", "singleValue": true }, "id": "35588a02-6475-400d-b869-da05d7ed0f3a" } ], "combinator": "and" }, "renameOutput": true, "outputKey": "Text" }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "83b9e800-99d0-4e31-8032-ae81aebe86d1", "leftValue": "={{ $json.body.entry[0].messaging[0].message.attachments[0].type }}", "rightValue": "audio", "operator": { "type": "string", "operation": "equals" } } ], "combinator": "and" }, "renameOutput": true, "outputKey": "Audio" }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "3ab7184b-65ec-4ca5-a250-667667999220", "leftValue": "={{ $json.body.entry[0].messaging[0].message.attachments[0].type }}", "rightValue": "image", "operator": { "type": "string", "operation": "equals" } } ], "combinator": "and" }, "renameOutput": true, "outputKey": "Image" } ] }, "options": {} }, "type": "n8n-nodes-base.switch", "typeVersion": 3.2, "position": [ -2208, -704 ], "id": "fcd02892-09b1-478d-a33b-e4ccc2545322", "name": "Switch" }, { "parameters": { "resource": "audio", "operation": "transcribe", "options": { "language": "en" } }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ -1568, -720 ], "id": "96480fd4-7d5c-44de-8735-a109c31f57cd", "name": "Transcribe a recording", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "assignments": { "assignments": [ { "id": "2f35809b-3889-4ef7-a8d5-a4d934842631", "name": "Text", "value": "={{ $json.body.entry[0].messaging[0].message.text }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -1600, -912 ], "id": "e6bcc557-6f6d-44a4-a1ba-aa8d94217df2", "name": "Text" }, { "parameters": { "assignments": { "assignments": [ { "id": "2f35809b-3889-4ef7-a8d5-a4d934842631", "name": "Text", "value": "={{ $json.text }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -1376, -720 ], "id": "18a4652d-ec79-493e-a5c8-14d24cae7843", "name": "Voice" }, { "parameters": { "url": "={{ $json.body.entry[0].messaging[0].message.attachments[0].payload.url }}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ -1760, -720 ], "id": "122fc2aa-11a2-452b-9b3d-f3c2e4c58f89", "name": "Download Audio" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "bbb5a4b6-7c2c-4af6-a584-e6352fd0068f", "leftValue": "={{ $('Webhook').item.json.body.entry[0].messaging[0].message.text }}", "rightValue": "", "operator": { "type": "string", "operation": "exists", "singleValue": true } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.2, "position": [ -560, -864 ], "id": "fa9392b4-afa3-4ede-a827-87a0fafcee8b", "name": "If" }, { "parameters": { "resource": "image", "operation": "analyze", "modelId": { "__rl": true, "value": "gpt-4o-mini", "mode": "list", "cachedResultName": "GPT-4O-MINI" }, "text": "=What's in this image?", "inputType": "base64", "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ -1552, -512 ], "id": "67e87644-8b7d-433f-8e7b-fc856f2848a3", "name": "Analyze image", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "url": "={{ $json.body.entry[0].messaging[0].message.attachments[0].payload.url }}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ -1760, -512 ], "id": "9433acf8-a768-413d-9c98-d1fb73a4cd20", "name": "Download Image" }, { "parameters": { "assignments": { "assignments": [ { "id": "2f35809b-3889-4ef7-a8d5-a4d934842631", "name": "Text", "value": "=# The author provided the image and the text \n\n## Image Description\n{{ $json.content }}\n\n\n\n", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -1360, -512 ], "id": "82b621b9-1b09-4214-bf46-1b8b037080d2", "name": "Image + Text" }, { "parameters": { "content": "# Text\n", "height": 176, "width": 768, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ -1936, -944 ], "typeVersion": 1, "id": "6019b984-7216-46c3-a9f2-b834f34c9e73", "name": "Sticky Note" }, { "parameters": { "content": "# Voice\n", "height": 176, "width": 768, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ -1936, -752 ], "typeVersion": 1, "id": "64877fc6-206c-4337-97f4-092f9f68bfed", "name": "Sticky Note1" }, { "parameters": { "content": "# Image\n", "height": 208, "width": 768, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ -1936, -560 ], "typeVersion": 1, "id": "0cf1c652-a8ad-4dd7-8a8c-892481a5f959", "name": "Sticky Note2", "disabled": true }, { "parameters": { "content": "# Inputs\n", "height": 720, "width": 1536 }, "type": "n8n-nodes-base.stickyNote", "position": [ -2672, -960 ], "typeVersion": 1, "id": "30f35a9b-975e-46bd-a10c-35ceb7699c09", "name": "Sticky Note3" }, { "parameters": { "promptType": "define", "text": "={{ $json.Text }}", "options": { "systemMessage": "=## Overview\nYou are the Parent Orchestrator Agent. Your job is to route and coordinate incoming WhatsApp messages (text, voice, image) to the correct sub-agent or processing tool. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Think: Use to evaluate context and decide routing logic\n- E-Mails Agent: Use for handling email-related queries, sending, replying, or managing inbox\n- Calendar Agent: Use for scheduling, retrieving, updating, or deleting calendar events\n- Web Search Agent: Use to fetch information from the internet (Google Search, Wikipedia, Hacker News)\n- Social Media Agent: Use to create or manage posts on Twitter/X\n\n## Rules\n- Route text, voice, or image inputs based on intent and context\n- Use Think tool when unsure which agent to delegate to\n- Always return the response in the correct WhatsApp output format (text or audio)\n- Keep responses concise and aligned with the casual tone of WhatsApp\n- Confirm completion of actions (emails sent, events scheduled, tweets posted, etc.)\n\n## Instructions\n1) Receive processed input (transcribed text, analyzed image, or raw message)\n2) Decide best-fit agent using Think\n3) Send the task to chosen sub-agent (E-Mails, Calendar, Web Search, Social Media)\n4) Summarize the result and return to WhatsApp as text or audio\n\n## Examples\n1)\nInput: \"What’s on my calendar tomorrow?\"\n- Action: Use Calendar Agent to check tomorrow’s events\n- Output: \"You have 2 events tomorrow: 10 AM – Project Review, 2 PM – Client Call.\"\n\n2)\nInput: Voice message: \"Send an email to Sarah about the meeting.\"\n- Action: Use E-Mails Agent to draft and send email\n- Output: \"Email sent to Sarah: Subject – Meeting Update...\"\n\n3)\nInput: \"Search the latest AI news.\"\n- Action: Use Web Search Agent\n- Output: \"Latest AI news from Hacker News: OpenAI released a new API feature...\"\n\n4)\nInput: \"Post on Twitter: Excited about our new product launch!\"\n- Action: Use Social Media Agent\n- Output: \"Tweet posted: 'Excited about our new product launch!'\"\n" } }, "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 2.1, "position": [ -864, -864 ], "id": "00ac7e0f-2d75-4e4b-a59a-eaf564c5ce32", "name": "Orchestrator Agent", "retryOnFail": false }, { "parameters": { "content": "# Voice\n\n", "height": 176, "width": 576, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "position": [ -208, -672 ], "typeVersion": 1, "id": "d9cacdcd-473a-4a65-910a-6918f12a849b", "name": "Sticky Note4" }, { "parameters": { "content": "# Text\n\n", "height": 176, "width": 576, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "position": [ -208, -864 ], "typeVersion": 1, "id": "6cfc752d-5102-40ae-9595-c3ae41e7aa8c", "name": "Sticky Note5" }, { "parameters": { "content": "# Output\n", "height": 704, "width": 896 }, "type": "n8n-nodes-base.stickyNote", "position": [ -368, -960 ], "typeVersion": 1, "id": "6ddbdb07-e2db-4869-ad74-e444d3224389", "name": "Sticky Note6" }, { "parameters": { "toolDescription": "Call this tool if you want to do something with calendar.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "=## Overview\nYou are the Calendar Agent. Your job is to manage calendar events by creating, updating, retrieving, or deleting them as requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Create an event: Use to add a new calendar event\n- Delete an event: Use to remove an existing event\n- Get an event: Use to fetch details of a specific event\n- Get Many Events: Use to list multiple upcoming or past events\n- Update Events: Use to modify details of an existing event\n\n## Rules\n- Always confirm the date, time, and event details before creating or updating\n- Use Get Many Events before creating to avoid duplicates if unsure\n- Keep responses short and clear for WhatsApp delivery\n- If an event cannot be found, respond politely with a fallback message\n\n## Instructions\n1) Interpret the user’s calendar request\n2) Select the correct tool (create, get, update, delete)\n3) Execute the action and return a human-friendly summary\n4) Always confirm the action back to the user\n\n## Examples\n1)\nInput: \"Add a meeting with Sarah tomorrow at 3 PM\"\n- Action: Use Create an event\n- Output: \"Meeting with Sarah scheduled for tomorrow at 3 PM.\"\n\n2)\nInput: \"What’s on my calendar this week?\"\n- Action: Use Get Many Events\n- Output: \"You have 4 events this week. First: Team Sync, Monday 10 AM.\"\n\n3)\nInput: \"Cancel my dentist appointment on Friday\"\n- Action: Use Delete an event\n- Output: \"Dentist appointment on Friday has been deleted.\"\n" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ -160, -32 ], "id": "8c9f4fb0-f4a6-404e-904d-b61f4409c493", "name": "Calendar Agent" }, { "parameters": { "toolDescription": "Call this tool if you want to do something with E-mails.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "You are a helpful assistant" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ -1232, 0 ], "id": "95a0a407-3f69-4a9b-8539-6326839166b8", "name": "E-Mails Agent1" }, { "parameters": {}, "type": "@n8n/n8n-nodes-langchain.toolThink", "typeVersion": 1.1, "position": [ -592, -704 ], "id": "c1473755-3684-4023-adc9-266d288c8b60", "name": "Think" }, { "parameters": { "toolDescription": "Call this tool to search the web.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "## Overview\nYou are the Web Search Agent. Your job is to search the web and retrieve reliable information from news, Wikipedia, or Google Search when requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Get an article in Hacker News: Use to fetch recent Hacker News articles\n- Wikipedia: Use to retrieve encyclopedic and factual information\n- Google Search (SerpApi): Use for general web searches across the internet\n\n## Rules\n- Always choose the most relevant tool for the query\n- Return concise, clear, and factual responses\n- Summarize results instead of dumping raw data\n- Cite the source of information (e.g., \"According to Wikipedia...\")\n\n## Instructions\n1) Interpret the user’s query\n2) Select the best tool (Hacker News, Wikipedia, Google Search)\n3) Retrieve and summarize the answer\n4) Return only the relevant response in plain text\n\n## Examples\n1)\nInput: \"What’s the latest AI news?\"\n- Action: Use Hacker News tool to get recent articles\n- Output: \"Latest on Hacker News: OpenAI released a new API feature...\"\n\n2)\nInput: \"Who invented the telephone?\"\n- Action: Use Wikipedia tool\n- Output: \"According to Wikipedia, Alexander Graham Bell is credited with inventing the telephone in 1876.\"\n\n3)\nInput: \"Best restaurants in New York 2025\"\n- Action: Use Google Search (SerpApi)\n- Output: \"Top-rated restaurants in New York (2025): Le Bernardin, Eleven Madison Park, Atomix.\"\n" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ -2192, 16 ], "id": "f32fb3fb-bd83-4fc7-b72c-dac844ed493c", "name": "Search Agent", "notesInFlow": false }, { "parameters": { "content": "# Orchestrator Agent\n\n", "height": 368, "width": 736, "color": 5 }, "type": "n8n-nodes-base.stickyNote", "position": [ -1120, -960 ], "typeVersion": 1, "id": "5bd8de18-2f65-44b0-882f-7841d0eea648", "name": "Sticky Note7" }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.toolSerpApi", "typeVersion": 1, "position": [ -1856, 240 ], "id": "2216f9ca-41a2-4ede-9c36-911e389173dc", "name": "Google Search", "credentials": { "serpApi": { "id": "KVyJYa7fBU7tTN4U", "name": "SerpAPI account" } } }, { "parameters": {}, "type": "@n8n/n8n-nodes-langchain.toolWikipedia", "typeVersion": 1, "position": [ -2000, 240 ], "id": "89092184-a44b-43ba-af91-45ec737fad75", "name": "Wikipedia" }, { "parameters": { "articleId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Article_ID', ``, 'string') }}", "additionalFields": {} }, "type": "n8n-nodes-base.hackerNewsTool", "typeVersion": 1, "position": [ -2144, 240 ], "id": "b1401178-7cb8-4694-bc20-4dde66ad7d0e", "name": "Get an article in Hacker News" }, { "parameters": { "content": "# Web Search Agent\n\n", "height": 496, "width": 1040, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ -2672, -96 ], "typeVersion": 1, "id": "31eacfcf-c886-4308-bd45-0149b9cf6185", "name": "Sticky Note8" }, { "parameters": { "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "start": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Start', ``, 'string') }}", "end": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('End', ``, 'string') }}", "useDefaultReminders": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Use_Default_Reminders', ``, 'boolean') }}", "additionalFields": { "attendees": [], "description": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Description', ``, 'string') }}", "summary": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Summary', ``, 'string') }}" } }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ -192, 208 ], "id": "438179f9-6293-4424-bfb8-50c2e111568f", "name": "Create an event", "credentials": { "googleCalendarOAuth2Api": { "id": "4OoIHjw6F7hm0LsY", "name": "Google Calendar account" } } }, { "parameters": { "operation": "delete", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "eventId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ -32, 208 ], "id": "f3187ff3-e7df-49d6-8967-22c67fba5749", "name": "Delete an event", "credentials": { "googleCalendarOAuth2Api": { "id": "4OoIHjw6F7hm0LsY", "name": "Google Calendar account" } } }, { "parameters": { "operation": "get", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "eventId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 112, 208 ], "id": "dec7227f-bf0e-4f59-8665-e3003e77d4d2", "name": "Get an event", "credentials": { "googleCalendarOAuth2Api": { "id": "4OoIHjw6F7hm0LsY", "name": "Google Calendar account" } } }, { "parameters": { "operation": "getAll", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "returnAll": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}", "timeMin": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('After', ``, 'string') }}", "timeMax": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Before', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 256, 208 ], "id": "baafcf8c-d5e6-4b09-a7cc-e8e02f6d60ba", "name": "Get Many Events", "credentials": { "googleCalendarOAuth2Api": { "id": "4OoIHjw6F7hm0LsY", "name": "Google Calendar account" } } }, { "parameters": { "operation": "update", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "eventId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}", "updateFields": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 400, 208 ], "id": "b427b756-d63f-408b-a773-d4c6037038f1", "name": "Update Events" }, { "parameters": { "sendTo": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('To', ``, 'string') }}", "subject": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Subject', ``, 'string') }}", "emailType": "text", "message": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}", "options": { "appendAttribution": false } }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ -1440, 240 ], "id": "6c46789c-68af-4468-ae8f-d8cf6938c7fe", "name": "Send a message", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "getAll", "returnAll": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}", "simple": false, "filters": {}, "options": {} }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ -1152, 240 ], "id": "3d27a1d3-92ab-428c-851c-c43c2d66acdd", "name": "Get many e-mails", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "delete", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}" }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ -1296, 240 ], "id": "93e6fbf5-bad1-495f-b45a-558b85b3ebe6", "name": "Delete an e-mail", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "markAsRead", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}" }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ -992, 240 ], "id": "3a90d210-5742-4453-bedd-6ea21ad02be0", "name": "Mark as read", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "markAsUnread", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}" }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ -832, 240 ], "id": "790c5946-cc3b-41fc-b2d8-fb1a17937e22", "name": "Mark as unread", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "reply", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}", "emailType": "text", "message": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ -656, 240 ], "id": "22902540-9f25-42ef-a8c8-3bf7c3ac063d", "name": "Reply to e-mail", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "content": "# E-Mail Agent\n\n\n", "height": 496, "width": 1232, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ -1616, -96 ], "typeVersion": 1, "id": "7a42e91a-d8a8-44e3-b77e-2ac245f8fc70", "name": "Sticky Note9" }, { "parameters": { "toolDescription": "Call this tool if you want to post on x.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "=## Role\nYou are an expert in creating high-quality, engaging, and modern posts for **X (formerly Twitter)**. \nYou receive information and generate posts that are:\n\n- **Concise and informative**, without unnecessary details. \n- **Engaging and dynamic**, designed to capture attention and encourage interaction. \n- **Trending and optimized**, using relevant keywords and hashtags for maximum reach. \n- **Structured for readability**, utilizing short paragraphs, line breaks, and emojis to enhance engagement. \n\n---\n\n## Post Style\nYour posts should primarily focus on **AI topics** and often begin with this format:\n\n👉 *“XYZ just dropped XYZ, and people are already doing crazy stuff with it—10 examples.”* \n\n⚠️ **Important:** When creating a post, always use the **savePost** tool to store it. \n\n---\n\n## Tools\n\n### savePost\nUse this tool to save the post in a **Google Sheets document**. Include:\n\n- **Column 1:** Current date \n- **Column 2:** Post topic \n- **Column 3:** Post content (plain text) \n" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ -864, -512 ], "id": "eeaa183d-b9a9-4d9d-b5a7-94971ccbea22", "name": "Social Media Agent" }, { "parameters": { "content": "# Calender Agent\n\n\n", "height": 496, "width": 880, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ -368, -96 ], "typeVersion": 1, "id": "b9af76db-07d4-4372-ad80-729629ff34b2", "name": "Sticky Note10" }, { "parameters": { "content": "# Social Media - Twitter\n\n\n", "height": 336, "width": 736, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ -1120, -576 ], "typeVersion": 1, "id": "f113224a-5fe3-45dc-884e-bbf49db58724", "name": "Sticky Note11" }, { "parameters": { "additionalFields": {} }, "type": "n8n-nodes-base.twitterTool", "typeVersion": 2, "position": [ -880, -368 ], "id": "16ddceb3-4634-46b8-ad0f-49b1cbb48736", "name": "Create Tweet in X" }, { "parameters": { "operation": "appendOrUpdate", "documentId": { "__rl": true, "value": "1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU", "mode": "list", "cachedResultName": "X-Posts", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU/edit?usp=drivesdk" }, "sheetName": { "__rl": true, "value": "gid=0", "mode": "list", "cachedResultName": "Sheet1", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU/edit#gid=0" }, "columns": { "mappingMode": "defineBelow", "value": { "Date ": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Date_', ``, 'string') }}", "Theme": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Theme', ``, 'string') }}", "Posts": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Posts', ``, 'string') }}" }, "matchingColumns": [ "Date " ], "schema": [ { "id": "Date ", "displayName": "Date ", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true, "removed": false }, { "id": "Theme", "displayName": "Theme", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Posts", "displayName": "Posts", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true } ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "type": "n8n-nodes-base.googleSheetsTool", "typeVersion": 4.7, "position": [ -576, -368 ], "id": "5972133c-fe33-4a86-a805-2f358150d58d", "name": "x post", "credentials": { "googleSheetsOAuth2Api": { "id": "vwmv6keJbqpxUxCf", "name": "Google Sheets account" } } }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ -1008, -704 ], "id": "df9f2abd-2bcb-46ad-901a-455855c67aa6", "name": "GPT-4.1-mini", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ -1072, -368 ], "id": "cbd6ce43-9b69-46cc-b70a-0d7d27abf89d", "name": "GPT-4.1-mini1", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ -2288, 240 ], "id": "a1ce1c93-0e1c-46dc-9d7d-98f4eb1e031e", "name": "GPT-4.1-mini2", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ -1584, 224 ], "id": "aad2d842-ec6b-4311-9c19-350de3026945", "name": "GPT-4.1-mini3", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ -336, 208 ], "id": "36f4b7eb-a454-4273-9279-8f05c4386a37", "name": "GPT-4.1-mini4", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "sessionIdType": "customKey", "sessionKey": "={{ $('Webhook').item.json.body.entry[0].messaging[0].sender.id }}", "contextWindowLength": 50 }, "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "typeVersion": 1.3, "position": [ -864, -704 ], "id": "e7d51754-7d4c-4c8e-80ab-b72a4a98ff77", "name": "Simple Memory" }, { "parameters": { "resource": "audio", "input": "={{ $('Orchestrator Agent').item.json.output }}", "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ -80, -640 ], "id": "672cab95-e315-430e-8b1e-bec14c5a5f0f", "name": "Generate audio", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "method": "POST", "url": "=https://graph.facebook.com/v23.0/{{ $('Webhook').item.json.body.entry[0].messaging[0].recipient.id }}/messages", "sendQuery": true, "queryParameters": { "parameters": [ { "name": "access_token", "value": "EAFdlHQU1mDsBPYMzSH9ZAzZA3ZAuIt1aLygVMGS68pJ12Pm71fI7x9jimcmEf6LpuLqy5ZCyluxXZBEDJrR0meTCrPnUjrsyZBSwtucPTRD1XZCnjQowBCpzJqKvGBQbr3R52gZAibEZB16tZBMSqcgPLOqmiH5ykmkmQkMovf9UBBjr9Q2Vf1bK48wrMVEUzNINPQ1wXqlAZDZD" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "={\n \"recipient\": {\n \"id\": \"{{$('Webhook').item.json.body.entry[0].messaging[0].sender.id}}\"\n },\n \"messaging_type\": \"RESPONSE\",\n \"message\": {\n \"text\": \"{{$json.output}}\"\n }\n}\n", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ -16, -848 ], "id": "81ac5038-3e84-4b31-b858-f74cff1f9942", "name": "send text" }, { "parameters": { "method": "POST", "url": "https://graph.facebook.com/v23.0/me/messages", "sendQuery": true, "queryParameters": { "parameters": [ { "name": "access_token", "value": "EAFdlHQU1mDsBPen2Nhg6WXiVvLZAxCXDSV9K8PqCSdbw9w35JFRoa0x74iUy6C7EIZBEDuTEfdWhldmSdbPNksZAi7VxwdRZCyENeX0ZCzI8PDU9ERxOnZBJYYZA4njZCZCVx8dIrmqkjojpyeAlQpUjLO2PXTZAw7W4NKTE34ZAieVYUxY6IypZAje0ATPU9GUxeO3phWueCQZDZD" } ] }, "sendBody": true, "contentType": "multipart-form-data", "bodyParameters": { "parameters": [ { "name": "recipient", "value": "={\"id\":\"{{ $('Webhook').item.json.body.entry[0].messaging[0].sender.id }}\"}" }, { "name": "message", "value": "{\"attachment\":{\"type\":\"audio\",\"payload\":{}}}" }, { "parameterType": "formBinaryData", "name": "={{ $json.fileName }}", "inputDataFieldName": "data" } ] }, "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 176, -640 ], "id": "58941cd5-ebfc-4c3f-ad94-28e648ebd42d", "name": "send text1" } ], "connections": { "Webhook": { "main": [ [ { "node": "Respond to Webhook", "type": "main", "index": 0 } ], [ { "node": "Switch", "type": "main", "index": 0 } ] ] }, "Switch": { "main": [ [ { "node": "Text", "type": "main", "index": 0 } ], [ { "node": "Download Audio", "type": "main", "index": 0 } ], [ { "node": "Download Image", "type": "main", "index": 0 } ] ] }, "Transcribe a recording": { "main": [ [ { "node": "Voice", "type": "main", "index": 0 } ] ] }, "Text": { "main": [ [ { "node": "Orchestrator Agent", "type": "main", "index": 0 } ] ] }, "Voice": { "main": [ [ { "node": "Orchestrator Agent", "type": "main", "index": 0 } ] ] }, "Download Audio": { "main": [ [ { "node": "Transcribe a recording", "type": "main", "index": 0 } ] ] }, "If": { "main": [ [ { "node": "send text", "type": "main", "index": 0 } ], [ { "node": "Generate audio", "type": "main", "index": 0 } ] ] }, "Download Image": { "main": [ [ { "node": "Analyze image", "type": "main", "index": 0 } ] ] }, "Analyze image": { "main": [ [ { "node": "Image + Text", "type": "main", "index": 0 } ] ] }, "Image + Text": { "main": [ [ { "node": "Orchestrator Agent", "type": "main", "index": 0 } ] ] }, "Orchestrator Agent": { "main": [ [ { "node": "If", "type": "main", "index": 0 } ] ] }, "Think": { "ai_tool": [ [ { "node": "Orchestrator Agent", "type": "ai_tool", "index": 0 } ] ] }, "Calendar Agent": { "ai_tool": [ [ { "node": "Orchestrator Agent", "type": "ai_tool", "index": 0 } ] ] }, "E-Mails Agent1": { "ai_tool": [ [ { "node": "Orchestrator Agent", "type": "ai_tool", "index": 0 } ] ] }, "Search Agent": { "ai_tool": [ [ { "node": "Orchestrator Agent", "type": "ai_tool", "index": 0 } ] ] }, "Google Search": { "ai_tool": [ [ { "node": "Search Agent", "type": "ai_tool", "index": 0 } ] ] }, "Wikipedia": { "ai_tool": [ [ { "node": "Search Agent", "type": "ai_tool", "index": 0 } ] ] }, "Get an article in Hacker News": { "ai_tool": [ [ { "node": "Search Agent", "type": "ai_tool", "index": 0 } ] ] }, "Create an event": { "ai_tool": [ [ { "node": "Calendar Agent", "type": "ai_tool", "index": 0 } ] ] }, "Delete an event": { "ai_tool": [ [ { "node": "Calendar Agent", "type": "ai_tool", "index": 0 } ] ] }, "Get an event": { "ai_tool": [ [ { "node": "Calendar Agent", "type": "ai_tool", "index": 0 } ] ] }, "Get Many Events": { "ai_tool": [ [ { "node": "Calendar Agent", "type": "ai_tool", "index": 0 } ] ] }, "Send a message": { "ai_tool": [ [ { "node": "E-Mails Agent1", "type": "ai_tool", "index": 0 } ] ] }, "Delete an e-mail": { "ai_tool": [ [ { "node": "E-Mails Agent1", "type": "ai_tool", "index": 0 } ] ] }, "Get many e-mails": { "ai_tool": [ [ { "node": "E-Mails Agent1", "type": "ai_tool", "index": 0 } ] ] }, "Mark as read": { "ai_tool": [ [ { "node": "E-Mails Agent1", "type": "ai_tool", "index": 0 } ] ] }, "Mark as unread": { "ai_tool": [ [ { "node": "E-Mails Agent1", "type": "ai_tool", "index": 0 } ] ] }, "Reply to e-mail": { "ai_tool": [ [ { "node": "E-Mails Agent1", "type": "ai_tool", "index": 0 } ] ] }, "Social Media Agent": { "ai_tool": [ [ { "node": "Orchestrator Agent", "type": "ai_tool", "index": 0 } ] ] }, "Create Tweet in X": { "ai_tool": [ [ { "node": "Social Media Agent", "type": "ai_tool", "index": 0 } ] ] }, "x post": { "ai_tool": [ [ { "node": "Social Media Agent", "type": "ai_tool", "index": 0 } ] ] }, "GPT-4.1-mini": { "ai_languageModel": [ [ { "node": "Orchestrator Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "GPT-4.1-mini1": { "ai_languageModel": [ [ { "node": "Social Media Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "GPT-4.1-mini2": { "ai_languageModel": [ [ { "node": "Search Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "GPT-4.1-mini3": { "ai_languageModel": [ [ { "node": "E-Mails Agent1", "type": "ai_languageModel", "index": 0 } ] ] }, "GPT-4.1-mini4": { "ai_languageModel": [ [ { "node": "Calendar Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Simple Memory": { "ai_memory": [ [ { "node": "Orchestrator Agent", "type": "ai_memory", "index": 0 } ] ] }, "Generate audio": { "main": [ [ { "node": "send text1", "type": "main", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1" }, "staticData": null, "pinData": {}, "versionId": "7703d810-5cb3-4d2d-aea2-1b5f3989419c", "meta": null }, { "id": "SupfGBSDL2ZlVOPC", "name": "WAgentEnhancementcopy", "active": 0, "nodes": [ { "parameters": { "rules": { "values": [ { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "leftValue": "={{ $json.body.entry[0].messaging[0].message }}", "rightValue": "", "operator": { "type": "string", "operation": "exists", "singleValue": true }, "id": "35588a02-6475-400d-b869-da05d7ed0f3a" } ], "combinator": "and" }, "renameOutput": true, "outputKey": "Text" }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "83b9e800-99d0-4e31-8032-ae81aebe86d1", "leftValue": "={{ $json.body.entry[0].messaging[0].message.attachments[0].type }}", "rightValue": "audio", "operator": { "type": "string", "operation": "equals" } } ], "combinator": "and" }, "renameOutput": true, "outputKey": "Audio" }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "3ab7184b-65ec-4ca5-a250-667667999220", "leftValue": "={{ $json.body.entry[0].messaging[0].message.attachments[0].type }}", "rightValue": "image", "operator": { "type": "string", "operation": "equals" } } ], "combinator": "and" }, "renameOutput": true, "outputKey": "Image" } ] }, "options": {} }, "type": "n8n-nodes-base.switch", "typeVersion": 3.2, "position": [ -2208, -704 ], "id": "9d9a9dd1-5782-43f5-be2b-c917cddebf78", "name": "Switch" }, { "parameters": { "resource": "audio", "operation": "transcribe", "options": { "language": "en" } }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ -1600, -784 ], "id": "39b372b1-732a-4579-9444-1e14cd378557", "name": "Transcribe a recording", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } }, "disabled": true }, { "parameters": { "assignments": { "assignments": [ { "id": "2f35809b-3889-4ef7-a8d5-a4d934842631", "name": "Text", "value": "={{ $json.body.entry[0].messaging[0].message.text }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -1600, -912 ], "id": "e18a0a79-8606-41a9-8009-56a0371afb34", "name": "Text" }, { "parameters": { "assignments": { "assignments": [ { "id": "2f35809b-3889-4ef7-a8d5-a4d934842631", "name": "Text", "value": "={{ $json.content.parts[0].text }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -1376, -720 ], "id": "79c387c0-5328-4279-bd87-686e681d025e", "name": "Voice" }, { "parameters": { "url": "={{ $json.body.entry[0].messaging[0].message.attachments[0].payload.url }}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ -1856, -704 ], "id": "e7fdb46f-26d5-4224-9792-9c565537822c", "name": "Download Audio" }, { "parameters": { "resource": "image", "operation": "analyze", "modelId": { "__rl": true, "value": "gpt-4o-mini", "mode": "list", "cachedResultName": "GPT-4O-MINI" }, "text": "=What's in this image?", "inputType": "base64", "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ -1552, -400 ], "id": "51e9fcf9-165d-4009-9fa0-3ab7ad15110a", "name": "Analyze image", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } }, "disabled": true }, { "parameters": { "url": "={{ $json.body.entry[0].messaging[0].message.attachments[0].payload.url }}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ -1760, -512 ], "id": "5c2d3c77-73b5-4fc6-933a-cf0c72e87327", "name": "Download Image" }, { "parameters": { "assignments": { "assignments": [ { "id": "2f35809b-3889-4ef7-a8d5-a4d934842631", "name": "=Text", "value": "=# The author provided the image and the text \n\n## Image Description\n{{ $json.content }}\n\n\n## Image Description\n{{ $json.content.parts[0].text }}\n", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -1360, -512 ], "id": "5bdad311-3250-473c-8b14-0cfdd08a4bb1", "name": "Image + Text" }, { "parameters": { "content": "# Text\n", "height": 176, "width": 768, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ -1936, -944 ], "typeVersion": 1, "id": "6d376570-d620-4140-84d0-b6d5ed1cae16", "name": "Sticky Note" }, { "parameters": { "content": "# Voice\n", "height": 176, "width": 768, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ -1936, -752 ], "typeVersion": 1, "id": "3b1045dc-abf9-4076-979f-b06701d0d4f2", "name": "Sticky Note1" }, { "parameters": { "content": "# Image\n", "height": 208, "width": 768, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ -1936, -560 ], "typeVersion": 1, "id": "28a3c293-1639-4a5a-81c2-2722e72cfa08", "name": "Sticky Note2", "disabled": true }, { "parameters": { "content": "# Inputs\n", "height": 720, "width": 1536 }, "type": "n8n-nodes-base.stickyNote", "position": [ -2672, -960 ], "typeVersion": 1, "id": "e74a72ee-fad7-412a-929f-9a8f2e6aa17f", "name": "Sticky Note3" }, { "parameters": { "multipleMethods": true, "path": "evochatbot", "responseMode": "responseNode", "options": {} }, "type": "n8n-nodes-base.webhook", "typeVersion": 2.1, "position": [ -2576, -688 ], "id": "8ff8e1e6-7543-437c-b32a-e7f3dbafe2a4", "name": "Webhook", "webhookId": "7aaab06f-5585-4375-90cf-9bc0a751ae95" }, { "parameters": { "respondWith": "text", "responseBody": "={{ $json.query[\"hub.challenge\"] }}", "options": {} }, "type": "n8n-nodes-base.respondToWebhook", "typeVersion": 1.4, "position": [ -2368, -832 ], "id": "34c9640f-5f1f-422e-a54c-5349d59db2a9", "name": "Respond to Webhook" }, { "parameters": { "toolDescription": "Call this tool if you want to do something with calendar.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "=## Overview\nYou are the Calendar Agent. Your job is to manage calendar events by creating, updating, retrieving, or deleting them as requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Create an event: Use to add a new calendar event\n- Delete an event: Use to remove an existing event\n- Get an event: Use to fetch details of a specific event\n- Get Many Events: Use to list multiple upcoming or past events\n- Update Events: Use to modify details of an existing event\n\n## Rules\n- Always confirm the date, time, and event details before creating or updating\n- Use Get Many Events before creating to avoid duplicates if unsure\n- Keep responses short and clear for WhatsApp delivery\n- If an event cannot be found, respond politely with a fallback message\n\n## Instructions\n1) Interpret the user’s calendar request\n2) Select the correct tool (create, get, update, delete)\n3) Execute the action and return a human-friendly summary\n4) Always confirm the action back to the user\n\n## Examples\n1)\nInput: \"Add a meeting with Sarah tomorrow at 3 PM\"\n- Action: Use Create an event\n- Output: \"Meeting with Sarah scheduled for tomorrow at 3 PM.\"\n\n2)\nInput: \"What’s on my calendar this week?\"\n- Action: Use Get Many Events\n- Output: \"You have 4 events this week. First: Team Sync, Monday 10 AM.\"\n\n3)\nInput: \"Cancel my dentist appointment on Friday\"\n- Action: Use Delete an event\n- Output: \"Dentist appointment on Friday has been deleted.\"\n" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ -160, -32 ], "id": "d9fdbb5d-d54c-4912-b4de-b1150a35cd0d", "name": "Calendar Agent" }, { "parameters": { "toolDescription": "Call this tool if you want to do something with E-mails.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "You are a helpful assistant" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ -1232, 0 ], "id": "f3fdcf13-9f2b-44e8-9646-525cd9cc072e", "name": "E-Mails Agent1" }, { "parameters": { "toolDescription": "Call this tool to search the web.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "## Overview\nYou are the Web Search Agent. Your job is to search the web and retrieve reliable information from news, Wikipedia, or Google Search when requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Get an article in Hacker News: Use to fetch recent Hacker News articles\n- Wikipedia: Use to retrieve encyclopedic and factual information\n- Google Search (SerpApi): Use for general web searches across the internet\n\n## Rules\n- Always choose the most relevant tool for the query\n- Return concise, clear, and factual responses\n- Summarize results instead of dumping raw data\n- Cite the source of information (e.g., \"According to Wikipedia...\")\n\n## Instructions\n1) Interpret the user’s query\n2) Select the best tool (Hacker News, Wikipedia, Google Search)\n3) Retrieve and summarize the answer\n4) Return only the relevant response in plain text\n\n## Examples\n1)\nInput: \"What’s the latest AI news?\"\n- Action: Use Hacker News tool to get recent articles\n- Output: \"Latest on Hacker News: OpenAI released a new API feature...\"\n\n2)\nInput: \"Who invented the telephone?\"\n- Action: Use Wikipedia tool\n- Output: \"According to Wikipedia, Alexander Graham Bell is credited with inventing the telephone in 1876.\"\n\n3)\nInput: \"Best restaurants in New York 2025\"\n- Action: Use Google Search (SerpApi)\n- Output: \"Top-rated restaurants in New York (2025): Le Bernardin, Eleven Madison Park, Atomix.\"\n" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ -2192, 16 ], "id": "49df61c7-2230-49a2-95f3-3da687e9166c", "name": "Search Agent", "notesInFlow": false }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.toolSerpApi", "typeVersion": 1, "position": [ -1856, 240 ], "id": "5fba5bba-fb56-460c-a881-eb7a53015c44", "name": "Google Search", "credentials": { "serpApi": { "id": "KVyJYa7fBU7tTN4U", "name": "SerpAPI account" } } }, { "parameters": {}, "type": "@n8n/n8n-nodes-langchain.toolWikipedia", "typeVersion": 1, "position": [ -2000, 240 ], "id": "99d9fc3a-16cb-4a84-b286-3e0fb4073779", "name": "Wikipedia" }, { "parameters": { "articleId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Article_ID', ``, 'string') }}", "additionalFields": {} }, "type": "n8n-nodes-base.hackerNewsTool", "typeVersion": 1, "position": [ -2144, 240 ], "id": "731a56c1-adcd-4763-8a33-dd34dcbadbf5", "name": "Get an article in Hacker News" }, { "parameters": { "content": "# Web Search Agent\n\n", "height": 496, "width": 1040, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ -2672, -96 ], "typeVersion": 1, "id": "05d9be5f-d611-4c1f-a833-35696b7d068f", "name": "Sticky Note8" }, { "parameters": { "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "start": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Start', ``, 'string') }}", "end": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('End', ``, 'string') }}", "useDefaultReminders": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Use_Default_Reminders', ``, 'boolean') }}", "additionalFields": { "attendees": [], "description": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Description', ``, 'string') }}", "summary": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Summary', ``, 'string') }}" } }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ -192, 208 ], "id": "1e676107-0c7c-4c8c-8e2c-4b895aacf1d4", "name": "Create an event", "credentials": { "googleCalendarOAuth2Api": { "id": "4OoIHjw6F7hm0LsY", "name": "Google Calendar account" } } }, { "parameters": { "operation": "delete", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "eventId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ -32, 208 ], "id": "454e05f2-4f76-4bac-90a7-b51194af19e4", "name": "Delete an event", "credentials": { "googleCalendarOAuth2Api": { "id": "4OoIHjw6F7hm0LsY", "name": "Google Calendar account" } } }, { "parameters": { "operation": "get", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "eventId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 112, 208 ], "id": "68cb3bc6-9cfd-4269-bd23-c5a04ca6d7bc", "name": "Get an event", "credentials": { "googleCalendarOAuth2Api": { "id": "4OoIHjw6F7hm0LsY", "name": "Google Calendar account" } } }, { "parameters": { "operation": "getAll", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "returnAll": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}", "timeMin": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('After', ``, 'string') }}", "timeMax": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Before', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 256, 208 ], "id": "7930dae8-01f5-473d-b9ad-0444566c3cd0", "name": "Get Many Events", "credentials": { "googleCalendarOAuth2Api": { "id": "4OoIHjw6F7hm0LsY", "name": "Google Calendar account" } } }, { "parameters": { "operation": "update", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "eventId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}", "updateFields": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 400, 208 ], "id": "4a91ec28-4924-4628-9747-1abd69ff6259", "name": "Update Events" }, { "parameters": { "sendTo": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('To', ``, 'string') }}", "subject": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Subject', ``, 'string') }}", "emailType": "text", "message": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}", "options": { "appendAttribution": false } }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ -1440, 240 ], "id": "40e437c5-7e10-44a9-8faa-88d2a809dc67", "name": "Send a message", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "getAll", "returnAll": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}", "simple": false, "filters": {}, "options": {} }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ -1152, 240 ], "id": "d16292b1-f7b2-4322-bd4a-4cf6b8b42f19", "name": "Get many e-mails", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "delete", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}" }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ -1296, 240 ], "id": "7051fdea-34aa-40bb-aeb5-69560a91fbad", "name": "Delete an e-mail", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "markAsRead", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}" }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ -992, 240 ], "id": "83cbaf27-cb04-40e1-b4bc-f30e72dae246", "name": "Mark as read", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "markAsUnread", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}" }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ -832, 240 ], "id": "d42158a3-1a25-4c04-b6fe-fc65aa9c52f0", "name": "Mark as unread", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "reply", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}", "emailType": "text", "message": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ -656, 240 ], "id": "9aaf3e55-e7f8-482c-bfe2-84bf54d395c7", "name": "Reply to e-mail", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "content": "# E-Mail Agent\n\n\n", "height": 496, "width": 1232, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ -1616, -96 ], "typeVersion": 1, "id": "4047e507-dd89-4d22-ab3b-394fb33c5845", "name": "Sticky Note9" }, { "parameters": { "content": "# Calender Agent\n\n\n", "height": 496, "width": 880, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ -368, -96 ], "typeVersion": 1, "id": "ce07ed84-e2df-4cc0-a544-da5cde20c1b4", "name": "Sticky Note10" }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ -2288, 240 ], "id": "e0bbc539-8046-44df-bfcd-f954fec542e4", "name": "GPT-4.1-mini2", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ -1584, 224 ], "id": "fef5e7e6-4a72-4d3f-b15a-d1dd7833ea0c", "name": "GPT-4.1-mini3", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ -336, 208 ], "id": "c4abf67c-9757-4e1b-b3d4-a9aa577e769e", "name": "GPT-4.1-mini4", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "typeVersion": 1, "position": [ -960, -688 ], "id": "9cd9e63c-728e-418c-965d-f37884e4e070", "name": "Google Gemini Chat Model", "credentials": { "googlePalmApi": { "id": "xTC5bggV3FN3kz5r", "name": "Google Gemini(PaLM) Api account" } } }, { "parameters": { "sessionIdType": "customKey", "sessionKey": "={{ $('Webhook').item.json.body.entry[0].messaging[0].sender.id }}", "contextWindowLength": 50 }, "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "typeVersion": 1.3, "position": [ -848, -704 ], "id": "65ab55b2-28a8-4288-8d18-9e82bbda8f64", "name": "Simple Memory" }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ -1072, -368 ], "id": "87d4fed7-d6df-477b-b277-c00f218dbe84", "name": "GPT-4.1-mini1", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ -1040, -688 ], "id": "d162b8f5-e34c-4853-a96d-4e5a8442b1d1", "name": "GPT-4.1-mini", "credentials": { "openAiApi": { "id": "xiZrWndXXHNvEcL4", "name": "OpenAi account 2" } } }, { "parameters": { "operation": "appendOrUpdate", "documentId": { "__rl": true, "value": "1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU", "mode": "list", "cachedResultName": "X-Posts", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU/edit?usp=drivesdk" }, "sheetName": { "__rl": true, "value": "gid=0", "mode": "list", "cachedResultName": "Sheet1", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU/edit#gid=0" }, "columns": { "mappingMode": "defineBelow", "value": { "Date ": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Date_', ``, 'string') }}", "Theme": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Theme', ``, 'string') }}", "Posts": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Posts', ``, 'string') }}" }, "matchingColumns": [ "Date " ], "schema": [ { "id": "Date ", "displayName": "Date ", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true, "removed": false }, { "id": "Theme", "displayName": "Theme", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Posts", "displayName": "Posts", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true } ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "type": "n8n-nodes-base.googleSheetsTool", "typeVersion": 4.7, "position": [ -576, -368 ], "id": "ef0d2ac6-729f-4a27-84bc-57ad2fd1a54a", "name": "x post", "credentials": { "googleSheetsOAuth2Api": { "id": "vwmv6keJbqpxUxCf", "name": "Google Sheets account" } } }, { "parameters": { "additionalFields": {} }, "type": "n8n-nodes-base.twitterTool", "typeVersion": 2, "position": [ -880, -368 ], "id": "c2b03124-58e9-48aa-9421-c60ce355ef10", "name": "Create Tweet in X" }, { "parameters": { "content": "# Social Media - Twitter\n\n\n", "height": 336, "width": 736, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ -1120, -576 ], "typeVersion": 1, "id": "a7858b41-43d4-4be8-b4df-bd041f64ad68", "name": "Sticky Note11" }, { "parameters": { "toolDescription": "Call this tool if you want to post on x.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "=## Role\nYou are an expert in creating high-quality, engaging, and modern posts for **X (formerly Twitter)**. \nYou receive information and generate posts that are:\n\n- **Concise and informative**, without unnecessary details. \n- **Engaging and dynamic**, designed to capture attention and encourage interaction. \n- **Trending and optimized**, using relevant keywords and hashtags for maximum reach. \n- **Structured for readability**, utilizing short paragraphs, line breaks, and emojis to enhance engagement. \n\n---\n\n## Post Style\nYour posts should primarily focus on **AI topics** and often begin with this format:\n\n👉 *“XYZ just dropped XYZ, and people are already doing crazy stuff with it—10 examples.”* \n\n⚠️ **Important:** When creating a post, always use the **savePost** tool to store it. \n\n---\n\n## Tools\n\n### savePost\nUse this tool to save the post in a **Google Sheets document**. Include:\n\n- **Column 1:** Current date \n- **Column 2:** Post topic \n- **Column 3:** Post content (plain text) \n" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ -864, -512 ], "id": "4cd028c5-949b-4f0a-afdb-f4396b1f371d", "name": "Social Media Agent" }, { "parameters": { "content": "# Orchestrator Agent\n\n", "height": 368, "width": 736, "color": 5 }, "type": "n8n-nodes-base.stickyNote", "position": [ -1120, -960 ], "typeVersion": 1, "id": "09d4f34c-25e1-451e-be59-851be0b1df96", "name": "Sticky Note7" }, { "parameters": {}, "type": "@n8n/n8n-nodes-langchain.toolThink", "typeVersion": 1.1, "position": [ -608, -704 ], "id": "a32078f4-229d-4aaa-a746-cc87d875d4dd", "name": "Think" }, { "parameters": { "content": "# Output\n", "height": 704, "width": 896 }, "type": "n8n-nodes-base.stickyNote", "position": [ -368, -960 ], "typeVersion": 1, "id": "d4bb3449-ac5f-44e3-b0a5-c59437722fe9", "name": "Sticky Note6" }, { "parameters": { "content": "# Text\n\n", "height": 176, "width": 576, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "position": [ -208, -864 ], "typeVersion": 1, "id": "dad230ac-3214-4dd8-8842-13507a76f570", "name": "Sticky Note5" }, { "parameters": { "content": "# Voice\n\n", "height": 176, "width": 576, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "position": [ -208, -672 ], "typeVersion": 1, "id": "136576c7-2844-4f68-9e46-6a430130fff5", "name": "Sticky Note4" }, { "parameters": { "promptType": "define", "text": "={{ $json.Text }}", "options": { "systemMessage": "=## Overview\nYou are the Parent Orchestrator Agent. Your job is to route and coordinate incoming WhatsApp messages (text, voice, image) to the correct sub-agent or processing tool. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Think: Use to evaluate context and decide routing logic\n- E-Mails Agent: Use for handling email-related queries, sending, replying, or managing inbox\n- Calendar Agent: Use for scheduling, retrieving, updating, or deleting calendar events\n- Web Search Agent: Use to fetch information from the internet (Google Search, Wikipedia, Hacker News)\n- Social Media Agent: Use to create or manage posts on Twitter/X\n\n## Rules\n- Route text, voice, or image inputs based on intent and context\n- Use Think tool when unsure which agent to delegate to\n- Always return the response in the correct WhatsApp output format (text or audio)\n- Keep responses concise and aligned with the casual tone of WhatsApp\n- Confirm completion of actions (emails sent, events scheduled, tweets posted, etc.)\n\n## Instructions\n1) Receive processed input (transcribed text, analyzed image, or raw message)\n2) Decide best-fit agent using Think\n3) Send the task to chosen sub-agent (E-Mails, Calendar, Web Search, Social Media)\n4) Summarize the result and return to WhatsApp as text or audio\n\n## Examples\n1)\nInput: \"What’s on my calendar tomorrow?\"\n- Action: Use Calendar Agent to check tomorrow’s events\n- Output: \"You have 2 events tomorrow: 10 AM – Project Review, 2 PM – Client Call.\"\n\n2)\nInput: Voice message: \"Send an email to Sarah about the meeting.\"\n- Action: Use E-Mails Agent to draft and send email\n- Output: \"Email sent to Sarah: Subject – Meeting Update...\"\n\n3)\nInput: \"Search the latest AI news.\"\n- Action: Use Web Search Agent\n- Output: \"Latest AI news from Hacker News: OpenAI released a new API feature...\"\n\n4)\nInput: \"Post on Twitter: Excited about our new product launch!\"\n- Action: Use Social Media Agent\n- Output: \"Tweet posted: 'Excited about our new product launch!'\"\n" } }, "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 2.1, "position": [ -864, -864 ], "id": "c934c66e-05dd-47ed-af37-7e77c3201a9d", "name": "Orchestrator Agent", "retryOnFail": false }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "bbb5a4b6-7c2c-4af6-a584-e6352fd0068f", "leftValue": "={\n \"message\": {\n \"text\": \"={{ $('Webhook').item.json.body.entry[0].messaging[0].message.text }}\"\n }\n}\n", "rightValue": "", "operator": { "type": "string", "operation": "exists", "singleValue": true } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.2, "position": [ -560, -864 ], "id": "e4a0e637-df6c-45e3-99f2-33457e0a8f57", "name": "If" }, { "parameters": { "resource": "audio", "input": "={{ $('Orchestrator Agent').item.json.output }}", "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ -64, -464 ], "id": "b5810536-b353-4a0f-9c9c-57165f01f6a8", "name": "Generate audio", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "method": "POST", "url": "=https://graph.facebook.com/v24.0/{{ $('Webhook').item.json.body.entry[0].messaging[0].recipient.id }}/messages?", "sendQuery": true, "queryParameters": { "parameters": [ { "name": "access_token", "value": "EAAbGc9pVXKgBPutCLl81JlyZCmhImJe3ZAjomqdH4lD86VWS809OlA7NeZCaSF796TJywL4ovz0Plp2DmacpFnKoX0U65YvIFMbbfsjG7S0LHw4MkDszPjZCtlhPh7ImQZC1rOqToVcypThDZB23tOrFpSIcLa7gPGsFQHBZAud45GuZCRFsASZCoQOaMICoZAbZAZBC9HO9dWQqeK7LoFZCNoe3NNELyXwZDZD" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "={\n \"recipient\": {\n \"id\": \"{{ $('Webhook').item.json.body.entry[0].messaging[0].sender.id }}\"\n },\n \"messaging_type\": \"RESPONSE\",\n \"message\": {\n \"text\": \"{{ $json.message.text.replace(/\"/g, '\\\\\"') }}\"\n }\n}\n\n", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 112, -832 ], "id": "3726672c-ad2c-4b73-adf4-d9407b019b49", "name": "send text" }, { "parameters": { "jsCode": "// Safely extract sender ID and prepare a valid JSON body for Facebook API\nconst senderId = $json.entry?.[0]?.messaging?.[0]?.sender?.id;\nconst textOut = String($json.output || \"\")\n .replace(/\\n/g, '\\\\n'); // escape newlines for JSON validity\n\nreturn [\n {\n json: {\n recipient: { id: senderId },\n messaging_type: \"RESPONSE\",\n message: { text: textOut }\n }\n }\n];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ -96, -832 ], "id": "8886e440-365a-40ef-a42e-b08f2f4cd30b", "name": "Code in JavaScript" }, { "parameters": { "method": "POST", "url": "https://graph.facebook.com/v23.0/me/messages", "sendQuery": true, "queryParameters": { "parameters": [ { "name": "access_token", "value": "EAAbGc9pVXKgBPutCLl81JlyZCmhImJe3ZAjomqdH4lD86VWS809OlA7NeZCaSF796TJywL4ovz0Plp2DmacpFnKoX0U65YvIFMbbfsjG7S0LHw4MkDszPjZCtlhPh7ImQZC1rOqToVcypThDZB23tOrFpSIcLa7gPGsFQHBZAud45GuZCRFsASZCoQOaMICoZAbZAZBC9HO9dWQqeK7LoFZCNoe3NNELyXwZDZD" } ] }, "sendBody": true, "contentType": "multipart-form-data", "bodyParameters": { "parameters": [ { "name": "recipient", "value": "={\"id\": \"{{ $('Webhook').item.json.body.entry[0].messaging[0].sender.id }}\"}" }, { "name": "message", "value": "{\"attachment\":{\"type\":\"audio\",\"payload\":{}}}" }, { "parameterType": "formBinaryData", "name": "={{ $json.fileName }}", "inputDataFieldName": "=data" } ] }, "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 176, -640 ], "id": "1a288633-6015-48bf-b7b8-826073fb8d28", "name": "send voice" }, { "parameters": { "resource": "video", "modelId": { "__rl": true, "value": "models/veo-3.1-fast-generate-preview", "mode": "list", "cachedResultName": "models/veo-3.1-fast-generate-preview" }, "prompt": "={{ $json.output }}", "options": {} }, "type": "@n8n/n8n-nodes-langchain.googleGemini", "typeVersion": 1, "position": [ -64, -640 ], "id": "2ec0bf9c-0609-4e52-b055-74a07612d9f8", "name": "Generate a video", "credentials": { "googlePalmApi": { "id": "xTC5bggV3FN3kz5r", "name": "Google Gemini(PaLM) Api account" } } }, { "parameters": { "resource": "image", "operation": "analyze", "modelId": { "__rl": true, "value": "models/gemini-2.5-flash", "mode": "list", "cachedResultName": "models/gemini-2.5-flash" }, "inputType": "binary", "options": {} }, "type": "@n8n/n8n-nodes-langchain.googleGemini", "typeVersion": 1, "position": [ -1552, -512 ], "id": "65da8414-2463-4322-965b-1008ff2c6fb3", "name": "Analyze an image", "credentials": { "googlePalmApi": { "id": "xTC5bggV3FN3kz5r", "name": "Google Gemini(PaLM) Api account" } } }, { "parameters": { "resource": "audio", "modelId": { "__rl": true, "value": "models/gemini-2.5-flash", "mode": "list", "cachedResultName": "models/gemini-2.5-flash" }, "inputType": "binary", "options": {} }, "type": "@n8n/n8n-nodes-langchain.googleGemini", "typeVersion": 1, "position": [ -1600, -656 ], "id": "7e308a3b-36ca-47ef-a33f-54040b6c92a3", "name": "Transcribe a recording1", "credentials": { "googlePalmApi": { "id": "xTC5bggV3FN3kz5r", "name": "Google Gemini(PaLM) Api account" } } } ], "connections": { "Switch": { "main": [ [ { "node": "Text", "type": "main", "index": 0 } ], [ { "node": "Download Audio", "type": "main", "index": 0 } ], [ { "node": "Download Image", "type": "main", "index": 0 } ] ] }, "Transcribe a recording": { "main": [ [] ] }, "Text": { "main": [ [ { "node": "Orchestrator Agent", "type": "main", "index": 0 } ] ] }, "Voice": { "main": [ [ { "node": "Orchestrator Agent", "type": "main", "index": 0 } ] ] }, "Download Audio": { "main": [ [ { "node": "Transcribe a recording1", "type": "main", "index": 0 } ] ] }, "Download Image": { "main": [ [ { "node": "Analyze an image", "type": "main", "index": 0 } ] ] }, "Analyze image": { "main": [ [] ] }, "Image + Text": { "main": [ [ { "node": "Orchestrator Agent", "type": "main", "index": 0 } ] ] }, "Webhook": { "main": [ [ { "node": "Respond to Webhook", "type": "main", "index": 0 } ], [ { "node": "Switch", "type": "main", "index": 0 } ] ] }, "Calendar Agent": { "ai_tool": [ [ { "node": "Orchestrator Agent", "type": "ai_tool", "index": 0 } ] ] }, "Google Search": { "ai_tool": [ [ { "node": "Search Agent", "type": "ai_tool", "index": 0 } ] ] }, "Wikipedia": { "ai_tool": [ [ { "node": "Search Agent", "type": "ai_tool", "index": 0 } ] ] }, "Get an article in Hacker News": { "ai_tool": [ [ { "node": "Search Agent", "type": "ai_tool", "index": 0 } ] ] }, "Create an event": { "ai_tool": [ [ { "node": "Calendar Agent", "type": "ai_tool", "index": 0 } ] ] }, "Delete an event": { "ai_tool": [ [ { "node": "Calendar Agent", "type": "ai_tool", "index": 0 } ] ] }, "Get an event": { "ai_tool": [ [ { "node": "Calendar Agent", "type": 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"Orchestrator Agent": { "main": [ [ { "node": "If", "type": "main", "index": 0 } ] ] }, "If": { "main": [ [ { "node": "Code in JavaScript", "type": "main", "index": 0 } ], [ { "node": "Generate a video", "type": "main", "index": 0 } ] ] }, "Generate audio": { "main": [ [] ] }, "Code in JavaScript": { "main": [ [ { "node": "send text", "type": "main", "index": 0 } ] ] }, "Generate a video": { "main": [ [ { "node": "send voice", "type": "main", "index": 0 } ] ] }, "Analyze an image": { "main": [ [ { "node": "Image + Text", "type": "main", "index": 0 } ] ] }, "Transcribe a recording1": { "main": [ [ { "node": "Voice", "type": "main", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1" }, "staticData": null, "pinData": {}, "versionId": "fa583fad-0cb5-4d94-a57a-50ef33d940c4", "meta": { "templateCredsSetupCompleted": true } }, { "id": "6wTfDn5BbepLRchk", "name": "WAgentEnhancementcopy", "active": 0, "nodes": [ { "parameters": { "multipleMethods": true, "path": 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-2288, -640 ], "id": "9a6c3ffd-9594-4ca0-ae0d-0d7c466b1b7d", "name": "HTTP Request" }, { "parameters": { "resource": "audio", "operation": "transcribe", "options": { "language": "en" } }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ -2080, -640 ], "id": "164efa56-e3c3-4376-b61b-ccf3de8ddb36", "name": "Transcribe a recording", "credentials": { "openAiApi": { "id": "hisXP9dqFfYwPYd8", "name": "OpenAi account N8N" } } } ], "connections": { "Webhook": { "main": [ [ { "node": "Respond to Webhook", "type": "main", "index": 0 } ], [ { "node": "HTTP Request", "type": "main", "index": 0 } ] ] }, "HTTP Request": { "main": [ [ { "node": "Transcribe a recording", "type": "main", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1" }, "staticData": null, "pinData": {}, "versionId": "80651558-e490-48cf-909f-5b816e1c1d2c", "meta": { "templateCredsSetupCompleted": true } }, { "id": "FULA3gDt2AEQvuVN", "name": "EvoChatBot", "active": 0, "nodes": [ { "parameters": { "httpMethod": "POST", "path": "evochatbot", "options": {} }, "type": "n8n-nodes-base.webhook", "typeVersion": 2.1, "position": [ -480, -96 ], "id": "3ac91ead-f6a5-4597-ae6a-0d62064fc03e", "name": "Webhook", "webhookId": "ac998f8a-c723-4087-8588-06accf477489" } ], "connections": {}, "settings": { "executionOrder": "v1" }, "staticData": null, "pinData": {}, "versionId": "4378f615-3201-4a76-8573-12f7f3443dcb", "meta": null }, { "id": "iGjJYWcbrxSyYPEt", "name": "EvoChatBot-Free WhatsApp API", "active": 0, "nodes": [ { "parameters": { "multipleMethods": true, "path": "MessengerBot2", "responseMode": "responseNode", "options": {} }, "type": "n8n-nodes-base.webhook", "typeVersion": 2.1, "position": [ 128, 544 ], "id": "5106b885-034f-470a-bbfe-269edca9091f", "name": "Webhook", "webhookId": "4cceff2e-5d34-4fa8-add0-ac396727f5d2", "disabled": true }, { "parameters": { "respondWith": "text", "responseBody": "={{ $json.query['hub.challenge'] }}", "options": {} }, "type": "n8n-nodes-base.respondToWebhook", "typeVersion": 1.4, "position": [ 272, 128 ], "id": "abc1160d-b7ad-461d-b82a-da6cbe5c9fc9", "name": "Respond to Webhook" }, { "parameters": { "rules": { "values": [ { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "leftValue": "={{ $json.body.entry[0].messaging[0].message.text }}", "rightValue": "", "operator": { "type": "string", "operation": "exists", "singleValue": true }, "id": "35588a02-6475-400d-b869-da05d7ed0f3a" } ], "combinator": "and" }, "renameOutput": true, "outputKey": "Text" }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "83b9e800-99d0-4e31-8032-ae81aebe86d1", "leftValue": "={{ $json.body.entry[0].messaging[0].message.attachments[0].type }}", "rightValue": "audio", "operator": { "type": "string", "operation": "equals" } } ], "combinator": "and" }, "renameOutput": true, "outputKey": "Audio" }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "3ab7184b-65ec-4ca5-a250-667667999220", "leftValue": "={{ $json.body.entry[0].messaging[0].message.attachments[0].type }}", "rightValue": "image", "operator": { "type": "string", "operation": "equals" } } ], "combinator": "and" }, "renameOutput": true, "outputKey": "Image" } ] }, "options": {} }, "type": "n8n-nodes-base.switch", "typeVersion": 3.2, "position": [ 464, 256 ], "id": "92a3cce5-3d06-4dcd-a0a8-56c5302f8d7d", "name": "Switch" }, { "parameters": { "resource": "audio", "operation": "transcribe", "options": { "language": "en" } }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ 1104, 240 ], "id": "07b401c0-4925-4232-a630-ccf403232398", "name": "Transcribe a recording", "disabled": true }, { "parameters": { "assignments": { "assignments": [ { "id": "2f35809b-3889-4ef7-a8d5-a4d934842631", "name": "Text", "value": "={{ $json.body.entry[0].messaging[0].message.text }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 1072, 48 ], "id": "b7b3f0c7-4128-4068-bcb8-7aa011cb7da7", "name": "Text" }, { "parameters": { "assignments": { "assignments": [ { "id": "2f35809b-3889-4ef7-a8d5-a4d934842631", "name": "Text", "value": "={{ $json.text }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 1296, 240 ], "id": "dcf9fe51-5bb7-40d8-b7ec-4b6950a8b3fc", "name": "Voice", "disabled": true }, { "parameters": { "url": "={{ $json.body.entry[0].messaging[0].message.attachments[0].payload.url }}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 912, 240 ], "id": "a71bb2be-7384-4d26-bf1a-1fbbb94cec31", "name": "Download Audio", "disabled": true }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "bbb5a4b6-7c2c-4af6-a584-e6352fd0068f", "leftValue": "={{ $('Webhook').item.json.body.entry[0].messaging[0].message.text }}", "rightValue": "", "operator": { "type": "string", "operation": "exists", "singleValue": true } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.2, "position": [ 2112, 96 ], "id": "3412063c-f5e5-4bdd-ae1a-0ce3919aae53", "name": "If" }, { "parameters": { "resource": "image", "operation": "analyze", "modelId": { "__rl": true, "value": "gpt-4o-mini", "mode": "list", "cachedResultName": "GPT-4O-MINI" }, "text": "=What's in this image?", "inputType": "base64", "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ 1120, 448 ], "id": "74f12538-1dc0-41f8-9574-47dd5c285c14", "name": "Analyze image", "disabled": true }, { "parameters": { "url": "={{ $json.body.entry[0].messaging[0].message.attachments[0].payload.url }}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 912, 448 ], "id": "ef959871-d957-443e-b825-379611969c28", "name": "Download Image", "disabled": true }, { "parameters": { "assignments": { "assignments": [ { "id": "2f35809b-3889-4ef7-a8d5-a4d934842631", "name": "Text", "value": "=# The author provided the image and the text \n\n## Image Description\n{{ $json.content }}\n\n\n\n", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 1312, 448 ], "id": "5cc9648d-2d47-44b2-9836-3d35a3c27747", "name": "Image + Text", "disabled": true }, { "parameters": { "content": "# Text\n", "height": 176, "width": 768, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ 736, 16 ], "typeVersion": 1, "id": "2e78b81e-b23f-4e8c-9755-8905b3624029", "name": "Sticky Note" }, { "parameters": { "content": "# Voice\n", "height": 176, "width": 768, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ 736, 208 ], "typeVersion": 1, "id": "06b96217-9d0c-4663-ab20-a2eba3118300", "name": "Sticky Note1" }, { "parameters": { "content": "# Image\n", "height": 208, "width": 768, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ 736, 400 ], "typeVersion": 1, "id": "f90fe2f0-0a90-4bfd-96a3-1b64f6815ad1", "name": "Sticky Note2", "disabled": true }, { "parameters": { "content": "# Inputs\n", "height": 720, "width": 1536 }, "type": "n8n-nodes-base.stickyNote", "position": [ 0, 0 ], "typeVersion": 1, "id": "0f8d15be-f536-49f7-b939-74294176af83", "name": "Sticky Note3" }, { "parameters": { "promptType": "define", "text": "={{ $json.Text }}", "options": { "systemMessage": "=## Overview\nYou are the Parent Orchestrator Agent. Your job is to route and coordinate incoming WhatsApp messages (text, voice, image) to the correct sub-agent or processing tool. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Think: Use to evaluate context and decide routing logic\n- E-Mails Agent: Use for handling email-related queries, sending, replying, or managing inbox\n- Calendar Agent: Use for scheduling, retrieving, updating, or deleting calendar events\n- Web Search Agent: Use to fetch information from the internet (Google Search, Wikipedia, Hacker News)\n- Social Media Agent: Use to create or manage posts on Twitter/X\n\n## Rules\n- Route text, voice, or image inputs based on intent and context\n- Use Think tool when unsure which agent to delegate to\n- Always return the response in the correct WhatsApp output format (text or audio)\n- Keep responses concise and aligned with the casual tone of WhatsApp\n- Confirm completion of actions (emails sent, events scheduled, tweets posted, etc.)\n\n## Instructions\n1) Receive processed input (transcribed text, analyzed image, or raw message)\n2) Decide best-fit agent using Think\n3) Send the task to chosen sub-agent (E-Mails, Calendar, Web Search, Social Media)\n4) Summarize the result and return to WhatsApp as text or audio\n\n## Examples\n1)\nInput: \"What’s on my calendar tomorrow?\"\n- Action: Use Calendar Agent to check tomorrow’s events\n- Output: \"You have 2 events tomorrow: 10 AM – Project Review, 2 PM – Client Call.\"\n\n2)\nInput: Voice message: \"Send an email to Sarah about the meeting.\"\n- Action: Use E-Mails Agent to draft and send email\n- Output: \"Email sent to Sarah: Subject – Meeting Update...\"\n\n3)\nInput: \"Search the latest AI news.\"\n- Action: Use Web Search Agent\n- Output: \"Latest AI news from Hacker News: OpenAI released a new API feature...\"\n\n4)\nInput: \"Post on Twitter: Excited about our new product launch!\"\n- Action: Use Social Media Agent\n- Output: \"Tweet posted: 'Excited about our new product launch!'\"\n" } }, "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 2.1, "position": [ 1808, 96 ], "id": "5c3b026b-6d63-48d4-bfce-eba5be5925d7", "name": "Orchestrator Agent", "retryOnFail": false }, { "parameters": { "content": "# Voice\n\n", "height": 176, "width": 576, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "position": [ 2464, 288 ], "typeVersion": 1, "id": "8c9e5f0e-77fa-4167-b9d8-d1060323091b", "name": "Sticky Note4" }, { "parameters": { "content": "# Text\n\n", "height": 176, "width": 576, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "position": [ 2464, 96 ], "typeVersion": 1, "id": "4ce487ab-cfbe-4c3a-ab56-eedc48244add", "name": "Sticky Note5" }, { "parameters": { "content": "# Output\n", "height": 704, "width": 896 }, "type": "n8n-nodes-base.stickyNote", "position": [ 2304, 0 ], "typeVersion": 1, "id": "3f7bbe10-a72a-4c99-a9a7-3f6a3b0080bf", "name": "Sticky Note6" }, { "parameters": { "toolDescription": "Call this tool if you want to do something with calendar.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "=## Overview\nYou are the Calendar Agent. Your job is to manage calendar events by creating, updating, retrieving, or deleting them as requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Create an event: Use to add a new calendar event\n- Delete an event: Use to remove an existing event\n- Get an event: Use to fetch details of a specific event\n- Get Many Events: Use to list multiple upcoming or past events\n- Update Events: Use to modify details of an existing event\n\n## Rules\n- Always confirm the date, time, and event details before creating or updating\n- Use Get Many Events before creating to avoid duplicates if unsure\n- Keep responses short and clear for WhatsApp delivery\n- If an event cannot be found, respond politely with a fallback message\n\n## Instructions\n1) Interpret the user’s calendar request\n2) Select the correct tool (create, get, update, delete)\n3) Execute the action and return a human-friendly summary\n4) Always confirm the action back to the user\n\n## Examples\n1)\nInput: \"Add a meeting with Sarah tomorrow at 3 PM\"\n- Action: Use Create an event\n- Output: \"Meeting with Sarah scheduled for tomorrow at 3 PM.\"\n\n2)\nInput: \"What’s on my calendar this week?\"\n- Action: Use Get Many Events\n- Output: \"You have 4 events this week. First: Team Sync, Monday 10 AM.\"\n\n3)\nInput: \"Cancel my dentist appointment on Friday\"\n- Action: Use Delete an event\n- Output: \"Dentist appointment on Friday has been deleted.\"\n" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ 2512, 928 ], "id": "b55be697-e9d9-4713-8caf-59a69fb51362", "name": "Calendar Agent" }, { "parameters": { "toolDescription": "Call this tool if you want to do something with E-mails.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "You are a helpful assistant" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ 1440, 960 ], "id": "a2150596-aa34-4d76-8741-c797f9348042", "name": "E-Mails Agent1" }, { "parameters": {}, "type": "@n8n/n8n-nodes-langchain.toolThink", "typeVersion": 1.1, "position": [ 2080, 256 ], "id": "af5cd2f9-d48c-426b-bb2c-be4ab5d7b9c7", "name": "Think" }, { "parameters": { "toolDescription": "Call this tool to search the web.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "## Overview\nYou are the Web Search Agent. Your job is to search the web and retrieve reliable information from news, Wikipedia, or Google Search when requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Get an article in Hacker News: Use to fetch recent Hacker News articles\n- Wikipedia: Use to retrieve encyclopedic and factual information\n- Google Search (SerpApi): Use for general web searches across the internet\n\n## Rules\n- Always choose the most relevant tool for the query\n- Return concise, clear, and factual responses\n- Summarize results instead of dumping raw data\n- Cite the source of information (e.g., \"According to Wikipedia...\")\n\n## Instructions\n1) Interpret the user’s query\n2) Select the best tool (Hacker News, Wikipedia, Google Search)\n3) Retrieve and summarize the answer\n4) Return only the relevant response in plain text\n\n## Examples\n1)\nInput: \"What’s the latest AI news?\"\n- Action: Use Hacker News tool to get recent articles\n- Output: \"Latest on Hacker News: OpenAI released a new API feature...\"\n\n2)\nInput: \"Who invented the telephone?\"\n- Action: Use Wikipedia tool\n- Output: \"According to Wikipedia, Alexander Graham Bell is credited with inventing the telephone in 1876.\"\n\n3)\nInput: \"Best restaurants in New York 2025\"\n- Action: Use Google Search (SerpApi)\n- Output: \"Top-rated restaurants in New York (2025): Le Bernardin, Eleven Madison Park, Atomix.\"\n" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ 480, 976 ], "id": "75fd9e48-83e8-4d6d-87f4-99bc72287c9d", "name": "Search Agent", "notesInFlow": false }, { "parameters": { "content": "# Orchestrator Agent\n\n", "height": 368, "width": 736, "color": 5 }, "type": "n8n-nodes-base.stickyNote", "position": [ 1552, 0 ], "typeVersion": 1, "id": "26d4149c-4570-4ff6-af2c-86d013b8d2c1", "name": "Sticky Note7" }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.toolSerpApi", "typeVersion": 1, "position": [ 816, 1200 ], "id": "b79c0494-f3d3-4f86-a74e-b499b4030a39", "name": "Google Search", "credentials": { "serpApi": { "id": "KVyJYa7fBU7tTN4U", "name": "SerpAPI account" } } }, { "parameters": {}, "type": "@n8n/n8n-nodes-langchain.toolWikipedia", "typeVersion": 1, "position": [ 672, 1200 ], "id": "a14d0183-798a-47ec-a676-1f813f6e14a8", "name": "Wikipedia" }, { "parameters": { "articleId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Article_ID', ``, 'string') }}", "additionalFields": {} }, "type": "n8n-nodes-base.hackerNewsTool", "typeVersion": 1, "position": [ 528, 1200 ], "id": "6ddf1129-9fe2-4ad1-9a88-b55e5995f32a", "name": "Get an article in Hacker News" }, { "parameters": { "content": "# Web Search Agent\n\n", "height": 496, "width": 1040, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ 0, 864 ], "typeVersion": 1, "id": "35ce4921-89b5-4869-934f-9922e123c163", "name": "Sticky Note8" }, { "parameters": { "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "start": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Start', ``, 'string') }}", "end": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('End', ``, 'string') }}", "useDefaultReminders": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Use_Default_Reminders', ``, 'boolean') }}", "additionalFields": { "attendees": [], "description": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Description', ``, 'string') }}", "summary": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Summary', ``, 'string') }}" } }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 2480, 1168 ], "id": "924ff427-ff84-47d4-bac4-fc24ad1310ee", "name": "Create an event", "credentials": { "googleCalendarOAuth2Api": { "id": "4OoIHjw6F7hm0LsY", "name": "Google Calendar account" } } }, { "parameters": { "operation": "delete", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "eventId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 2640, 1168 ], "id": "b8329d56-b233-4b16-a738-7ce0fa4f6517", "name": "Delete an event", "credentials": { "googleCalendarOAuth2Api": { "id": "4OoIHjw6F7hm0LsY", "name": "Google Calendar account" } } }, { "parameters": { "operation": "get", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "eventId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 2768, 1168 ], "id": "3dab9c1c-2088-4126-a246-98a05da6207c", "name": "Get an event", "credentials": { "googleCalendarOAuth2Api": { "id": "4OoIHjw6F7hm0LsY", "name": "Google Calendar account" } } }, { "parameters": { "operation": "getAll", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "returnAll": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}", "timeMin": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('After', ``, 'string') }}", "timeMax": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Before', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 2912, 1168 ], "id": "7b102bb9-7f32-4390-a5ac-87b024ab697a", "name": "Get Many Events", "credentials": { "googleCalendarOAuth2Api": { "id": "4OoIHjw6F7hm0LsY", "name": "Google Calendar account" } } }, { "parameters": { "operation": "update", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "eventId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}", "updateFields": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 3056, 1168 ], "id": "62b3355a-7273-4998-b68c-90d2652cf166", "name": "Update Events", "disabled": true }, { "parameters": { "sendTo": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('To', ``, 'string') }}", "subject": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Subject', ``, 'string') }}", "emailType": "text", "message": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}", "options": { "appendAttribution": false } }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 1232, 1200 ], "id": "e9745ac8-76c1-44ad-b6c4-a676dc726fd2", "name": "Send a message", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "getAll", "returnAll": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}", "simple": false, "filters": {}, "options": {} }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 1520, 1200 ], "id": "24089e06-36e3-4987-9fd2-996b4255b4af", "name": "Get many e-mails", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "delete", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}" }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 1376, 1200 ], "id": "6bb2b666-4ccc-43c1-854f-35d81e63a664", "name": "Delete an e-mail", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "markAsRead", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}" }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 1680, 1200 ], "id": "d371147a-54d4-41e9-ba3b-bee5f85bfea1", "name": "Mark as read", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "markAsUnread", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}" }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 1840, 1200 ], "id": "09c70fd9-e758-4e30-b2ce-06a6a39225fc", "name": "Mark as unread", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "operation": "reply", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}", "emailType": "text", "message": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 2016, 1200 ], "id": "c89ec438-3ca6-4809-8934-349732d75b8a", "name": "Reply to e-mail", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "credentials": { "gmailOAuth2": { "id": "vL1hwAuQCCbv0MjK", "name": "Gmail account" } } }, { "parameters": { "content": "# E-Mail Agent\n\n\n", "height": 496, "width": 1232, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ 1056, 864 ], "typeVersion": 1, "id": "52a8589b-ef13-4ce0-b5d5-8375f701c950", "name": "Sticky Note9" }, { "parameters": { "toolDescription": "Call this tool if you want to post on x.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "=## Role\nYou are an expert in creating high-quality, engaging, and modern posts for **X (formerly Twitter)**. \nYou receive information and generate posts that are:\n\n- **Concise and informative**, without unnecessary details. \n- **Engaging and dynamic**, designed to capture attention and encourage interaction. \n- **Trending and optimized**, using relevant keywords and hashtags for maximum reach. \n- **Structured for readability**, utilizing short paragraphs, line breaks, and emojis to enhance engagement. \n\n---\n\n## Post Style\nYour posts should primarily focus on **AI topics** and often begin with this format:\n\n👉 *“XYZ just dropped XYZ, and people are already doing crazy stuff with it—10 examples.”* \n\n⚠️ **Important:** When creating a post, always use the **savePost** tool to store it. \n\n---\n\n## Tools\n\n### savePost\nUse this tool to save the post in a **Google Sheets document**. Include:\n\n- **Column 1:** Current date \n- **Column 2:** Post topic \n- **Column 3:** Post content (plain text) \n" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ 1808, 448 ], "id": "d5df0f1a-08ae-4b4c-afbc-af85de8e96d9", "name": "Social Media Agent", "disabled": true }, { "parameters": { "content": "# Calender Agent\n\n\n", "height": 496, "width": 880, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ 2304, 864 ], "typeVersion": 1, "id": "5d59b5fd-1c98-4785-8793-a900bc6d39f4", "name": "Sticky Note10" }, { "parameters": { "content": "# Social Media - Twitter\n\n\n", "height": 336, "width": 736, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ 1552, 384 ], "typeVersion": 1, "id": "b8ad0acc-31b8-4e13-a231-24666171db8a", "name": "Sticky Note11" }, { "parameters": { "additionalFields": {} }, "type": "n8n-nodes-base.twitterTool", "typeVersion": 2, "position": [ 1776, 560 ], "id": "861881ab-9071-426e-904b-50d9c03c0380", "name": "Create Tweet in X", "disabled": true }, { "parameters": { "operation": "appendOrUpdate", "documentId": { "__rl": true, "value": "1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU", "mode": "list", "cachedResultName": "X-Posts", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU/edit?usp=drivesdk" }, "sheetName": { "__rl": true, "value": "gid=0", "mode": "list", "cachedResultName": "Sheet1", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU/edit#gid=0" }, "columns": { "mappingMode": "defineBelow", "value": { "Date ": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Date_', ``, 'string') }}", "Theme": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Theme', ``, 'string') }}", "Posts": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Posts', ``, 'string') }}" }, "matchingColumns": [ "Date " ], "schema": [ { "id": "Date ", "displayName": "Date ", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true, "removed": false }, { "id": "Theme", "displayName": "Theme", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Posts", "displayName": "Posts", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true } ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "type": "n8n-nodes-base.googleSheetsTool", "typeVersion": 4.7, "position": [ 2080, 576 ], "id": "05171d1d-8b00-49b7-8bcb-440f08a7e956", "name": "x post", "credentials": { "googleSheetsOAuth2Api": { "id": "vwmv6keJbqpxUxCf", "name": "Google Sheets account" } }, "disabled": true }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ 1664, 256 ], "id": "fb566482-6c4c-4c2e-81f3-c657df42a471", "name": "GPT-4.1-mini", "credentials": { "openAiApi": { "id": "hisXP9dqFfYwPYd8", "name": "OpenAi account N8N" } } }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ 384, 1200 ], "id": "d30b0f8e-5d5a-420f-9eaf-c18a7db0b255", "name": "GPT-4.1-mini2", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ 1088, 1184 ], "id": "c89d7043-3e59-46f8-a360-e0333e1e343c", "name": "GPT-4.1-mini3", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ 2336, 1168 ], "id": "4b8e90e6-e1d7-4e58-91aa-e93241a33c95", "name": "GPT-4.1-mini4", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "sessionIdType": "customKey", "sessionKey": "={{ $('Webhook').item.json.body.entry[0].messaging[0].sender.id }}", "contextWindowLength": 50 }, "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "typeVersion": 1.3, "position": [ 1808, 256 ], "id": "c9752226-9dc8-4c37-8b9b-5d132ad3f8c1", "name": "Simple Memory" }, { "parameters": { "resource": "audio", "input": "={{ $('Orchestrator Agent').item.json.output }}", "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ 2592, 320 ], "id": "51b2da7c-6ea5-4ace-8787-489fb8510467", "name": "Generate audio", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "method": "POST", "url": "=https://graph.facebook.com/v23.0/{{ $('Webhook').item.json.body.entry[0].messaging[0].recipient.id }}/messages", "sendQuery": true, "queryParameters": { "parameters": [ { "name": "access_token", "value": "EAFdlHQU1mDsBPYMzSH9ZAzZA3ZAuIt1aLygVMGS68pJ12Pm71fI7x9jimcmEf6LpuLqy5ZCyluxXZBEDJrR0meTCrPnUjrsyZBSwtucPTRD1XZCnjQowBCpzJqKvGBQbr3R52gZAibEZB16tZBMSqcgPLOqmiH5ykmkmQkMovf9UBBjr9Q2Vf1bK48wrMVEUzNINPQ1wXqlAZDZD" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "={\n \"recipient\": {\n \"id\": \"{{$('Webhook').item.json.body.entry[0].messaging[0].sender.id}}\"\n },\n \"messaging_type\": \"RESPONSE\",\n \"message\": {\n \"text\": \"{{$json.output}}\"\n }\n}\n", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 2656, 112 ], "id": "0e17e8df-d4f3-43d4-8ef3-04a82ace9c29", "name": "send text" }, { "parameters": { "method": "POST", "url": "https://graph.facebook.com/v23.0/me/messages", "sendQuery": true, "queryParameters": { "parameters": [ { "name": "access_token", "value": "EAFdlHQU1mDsBPen2Nhg6WXiVvLZAxCXDSV9K8PqCSdbw9w35JFRoa0x74iUy6C7EIZBEDuTEfdWhldmSdbPNksZAi7VxwdRZCyENeX0ZCzI8PDU9ERxOnZBJYYZA4njZCZCVx8dIrmqkjojpyeAlQpUjLO2PXTZAw7W4NKTE34ZAieVYUxY6IypZAje0ATPU9GUxeO3phWueCQZDZD" } ] }, "sendBody": true, "contentType": "multipart-form-data", "bodyParameters": { "parameters": [ { "name": "recipient", "value": "={\"id\":\"{{ $('Webhook').item.json.body.entry[0].messaging[0].sender.id }}\"}" }, { "name": "message", "value": "{\"attachment\":{\"type\":\"audio\",\"payload\":{}}}" }, { "parameterType": "formBinaryData", "name": "={{ $json.fileName }}", "inputDataFieldName": "data" } ] }, "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 2832, 320 ], "id": "98d1ee29-847b-4dd2-aa76-48902089c46c", "name": "send text1" }, { "parameters": { "multipleMethods": true, "path": "evochatbot", "responseMode": "responseNode", "options": {} }, "type": "n8n-nodes-base.webhook", "typeVersion": 2.1, "position": [ 64, 256 ], "id": "cd71acc4-e1f8-4777-b533-ab167a5f7d25", "name": "Webhook1", "webhookId": "ac998f8a-c723-4087-8588-06accf477489", "alwaysOutputData": false, "executeOnce": false } ], "connections": { "Webhook": { "main": [ [], [] ] }, "Switch": { "main": [ [ { "node": "Text", "type": "main", "index": 0 } ], [ { "node": "Download Audio", "type": "main", "index": 0 } ], [ { "node": "Download Image", "type": "main", "index": 0 } ] ] }, "Transcribe a recording": { "main": [ [ { "node": "Voice", "type": "main", "index": 0 } ] ] }, "Text": { "main": [ [ { "node": "Orchestrator Agent", "type": "main", "index": 0 } ] ] }, "Voice": { "main": [ [ { "node": "Orchestrator Agent", "type": "main", "index": 0 } ] ] }, "Download Audio": { "main": [ [ { "node": "Transcribe a recording", "type": "main", "index": 0 } ] ] }, "If": { "main": [ [ { "node": "send text", "type": "main", "index": 0 } ], [ { "node": "Generate audio", "type": "main", "index": 0 } ] ] }, "Download Image": { "main": [ [ { "node": "Analyze image", "type": "main", "index": 0 } ] ] }, "Analyze image": { "main": [ [ { "node": "Image + Text", "type": "main", "index": 0 } ] ] }, "Image + Text": { "main": [ [ { "node": "Orchestrator Agent", "type": "main", "index": 0 } ] ] }, "Orchestrator Agent": { "main": [ [ { "node": "If", "type": "main", "index": 0 } ] ] }, "Think": { "ai_tool": [ [ { "node": "Orchestrator Agent", "type": "ai_tool", "index": 0 } ] ] }, "Calendar Agent": { "ai_tool": [ [ { "node": "Orchestrator Agent", "type": "ai_tool", "index": 0 } ] ] }, "E-Mails Agent1": { "ai_tool": [ [ { "node": "Orchestrator Agent", "type": "ai_tool", "index": 0 } ] ] }, "Search Agent": { "ai_tool": [ [ { "node": "Orchestrator Agent", "type": "ai_tool", "index": 0 } ] ] }, "Google Search": { "ai_tool": [ [ { "node": "Search Agent", "type": "ai_tool", "index": 0 } ] ] }, "Wikipedia": { "ai_tool": [ [ { "node": "Search Agent", "type": "ai_tool", "index": 0 } ] ] }, "Get an article in Hacker News": { "ai_tool": [ [ { "node": "Search Agent", "type": "ai_tool", "index": 0 } ] ] }, "Create an event": { "ai_tool": [ [ { "node": "Calendar Agent", "type": "ai_tool", "index": 0 } ] ] }, "Delete an event": { "ai_tool": [ [ { "node": "Calendar Agent", "type": "ai_tool", "index": 0 } ] ] }, "Get an event": { "ai_tool": [ [ { "node": "Calendar Agent", "type": "ai_tool", "index": 0 } ] ] }, "Get Many Events": { "ai_tool": [ [ { "node": "Calendar Agent", "type": "ai_tool", "index": 0 } ] ] }, "Update Events": { "ai_tool": [ [ { "node": "Calendar Agent", "type": "ai_tool", "index": 0 } ] ] }, "Send a message": { "ai_tool": [ [ { "node": "E-Mails Agent1", "type": "ai_tool", "index": 0 } ] ] }, "Delete an e-mail": { "ai_tool": [ [ { "node": "E-Mails Agent1", "type": "ai_tool", "index": 0 } ] ] }, "Get many e-mails": { "ai_tool": [ [ { "node": "E-Mails Agent1", "type": "ai_tool", "index": 0 } ] ] }, "Mark as read": { "ai_tool": [ [ { "node": "E-Mails Agent1", "type": "ai_tool", "index": 0 } ] ] }, "Mark as unread": { "ai_tool": [ [ { "node": "E-Mails Agent1", "type": "ai_tool", "index": 0 } ] ] }, "Reply to e-mail": { "ai_tool": [ [ { "node": "E-Mails Agent1", "type": "ai_tool", "index": 0 } ] ] }, "Social Media Agent": { "ai_tool": [ [ { "node": "Orchestrator Agent", "type": "ai_tool", "index": 0 } ] ] }, "Create Tweet in X": { "ai_tool": [ [ { "node": "Social Media Agent", "type": "ai_tool", "index": 0 } ] ] }, "x post": { "ai_tool": [ [ { "node": "Social Media Agent", "type": "ai_tool", "index": 0 } ] ] }, "GPT-4.1-mini": { "ai_languageModel": [ [ { "node": "Orchestrator Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "GPT-4.1-mini2": { "ai_languageModel": [ [ { "node": "Search Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "GPT-4.1-mini3": { "ai_languageModel": [ [ { "node": "E-Mails Agent1", "type": "ai_languageModel", "index": 0 } ] ] }, "GPT-4.1-mini4": { "ai_languageModel": [ [ { "node": "Calendar Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Simple Memory": { "ai_memory": [ [ { "node": "Orchestrator Agent", "type": "ai_memory", "index": 0 } ] ] }, "Generate audio": { "main": [ [ { "node": "send text1", "type": "main", "index": 0 } ] ] }, "Webhook1": { "main": [ [ { "node": "Respond to Webhook", "type": "main", "index": 0 } ], [ { "node": "Switch", "type": "main", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1" }, "staticData": null, "pinData": {}, "versionId": "320bcb00-8442-4ca3-8138-db2734ee44a2", "meta": null }, { "id": "sxXSLyp07PaS9U8V", "name": "Secretery_MCP", "active": 0, "nodes": [ { "parameters": { "rules": { "values": [ { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "leftValue": "={{ $json.message.text }}", "rightValue": "", "operator": { "type": "string", "operation": "exists", "singleValue": true }, "id": "35588a02-6475-400d-b869-da05d7ed0f3a" } ], "combinator": "and" }, "renameOutput": true, "outputKey": "Text" }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "83b9e800-99d0-4e31-8032-ae81aebe86d1", "leftValue": "={{ $json.message.voice }}", "rightValue": "", "operator": { "type": "object", "operation": "exists", "singleValue": true } } ], "combinator": "and" }, "renameOutput": true, "outputKey": "Audio" }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "3ab7184b-65ec-4ca5-a250-667667999220", "leftValue": "={{ $json.message.photo[0] }}", "rightValue": "", "operator": { "type": "object", "operation": "exists", "singleValue": true } } ], "combinator": "and" }, "renameOutput": true, "outputKey": "Image" } ] }, "options": {} }, "type": "n8n-nodes-base.switch", "typeVersion": 3.2, "position": [ 208, 208 ], "id": "ab31ed15-13e0-46c3-9c2a-f4a3249357c9", "name": "Switch" }, { "parameters": { "assignments": { "assignments": [ { "id": "2f35809b-3889-4ef7-a8d5-a4d934842631", "name": "Text", "value": "={{ $json.message.text }}", "type": "string" }, { "id": "20b39541-487e-4ce9-9596-67ec3978cc0e", "name": "message.chat.id", "value": "ID", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 752, 48 ], "id": "95724f39-33a3-4d95-8343-650ca5895570", "name": "Text" }, { "parameters": { "assignments": { "assignments": [ { "id": "2f35809b-3889-4ef7-a8d5-a4d934842631", "name": "Text", "value": "={{ $json.text }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 1040, 224 ], "id": "b4496619-0b96-4bd9-90f4-0766c8c10ff9", "name": "Voice" }, { "parameters": { "content": "# Text\n", "height": 176, "width": 1024, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ 416, 16 ], "typeVersion": 1, "id": "248e7401-57ac-4374-bc93-5faead7301cf", "name": "Sticky Note" }, { "parameters": { "content": "# Voice\n", "height": 176, "width": 1024, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ 416, 208 ], "typeVersion": 1, "id": "732ee081-ec05-427c-be52-2010f3d140af", "name": "Sticky Note1" }, { "parameters": { "content": "# Image\n", "height": 272, "width": 1024, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ 416, 416 ], "typeVersion": 1, "id": "a2808225-7a0a-490d-bd7f-c4b1d7cdda68", "name": "Sticky Note2" }, { "parameters": { "content": "# Inputs\n", "height": 720, "width": 1520 }, "type": "n8n-nodes-base.stickyNote", "position": [ 0, 0 ], "typeVersion": 1, "id": "1bb2ed00-e6fe-43b5-88df-27f16e071304", "name": "Sticky Note3" }, { "parameters": { "promptType": "define", "text": "={{ $json.Text }}", "options": { "systemMessage": "=## Overview\nYou are the Parent Orchestrator Agent. Your job is to route and coordinate incoming WhatsApp messages (text, voice, image) to the correct sub-agent or processing tool. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Think: Use to evaluate context and decide routing logic\n- E-Mails Agent: Use for handling email-related queries, sending, replying, or managing inbox\n- Calendar Agent: Use for scheduling, retrieving, updating, or deleting calendar events\n- Web Search Agent: Use to fetch information from the internet (Google Search, Wikipedia, Hacker News)\n- Social Media Agent: Use to create or manage posts on Twitter/X\n\n## Rules\n- Route text, voice, or image inputs based on intent and context\n- Use Think tool when unsure which agent to delegate to\n- Always return the response in the correct WhatsApp output format (text or audio)\n- Keep responses concise and aligned with the casual tone of WhatsApp\n- Confirm completion of actions (emails sent, events scheduled, tweets posted, etc.)\n\n## Instructions\n1) Receive processed input (transcribed text, analyzed image, or raw message)\n2) Decide best-fit agent using Think\n3) Send the task to chosen sub-agent (E-Mails, Calendar, Web Search, Social Media)\n4) Summarize the result and return to WhatsApp as text or audio\n\n## Examples\n1)\nInput: \"What’s on my calendar tomorrow?\"\n- Action: Use Calendar Agent to check tomorrow’s events\n- Output: \"You have 2 events tomorrow: 10 AM – Project Review, 2 PM – Client Call.\"\n\n2)\nInput: Voice message: \"Send an email to Sarah about the meeting.\"\n- Action: Use E-Mails Agent to draft and send email\n- Output: \"Email sent to Sarah: Subject – Meeting Update...\"\n\n3)\nInput: \"Search the latest AI news.\"\n- Action: Use Web Search Agent\n- Output: \"Latest AI news from Hacker News: OpenAI released a new API feature...\"\n\n4)\nInput: \"Post on Twitter: Excited about our new product launch!\"\n- Action: Use Social Media Agent\n- Output: \"Tweet posted: 'Excited about our new product launch!'\"\n" } }, "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 2.1, "position": [ 1792, 96 ], "id": "4dd8a6c0-5e90-4dd9-aa0d-eb45b7e169bb", "name": "Orchestrator Agent", "retryOnFail": false }, { "parameters": { "content": "# Text\n\n", "height": 176, "width": 576, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "position": [ 2432, 160 ], "typeVersion": 1, "id": "bf94b7f0-798e-4ebd-8410-8b6440bd7daa", "name": "Sticky Note4" }, { "parameters": { "content": "# Text\n\n", "height": 176, "width": 576, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "position": [ 2432, 368 ], "typeVersion": 1, "id": "e8702373-797a-44f7-8125-4a308559bce5", "name": "Sticky Note5" }, { "parameters": { "content": "# Output\n", "height": 720, "width": 800 }, "type": "n8n-nodes-base.stickyNote", "position": [ 2288, 0 ], "typeVersion": 1, "id": "0fed0f50-ed26-4506-825c-3a6a1493beb4", "name": "Sticky Note6" }, { "parameters": {}, "type": "@n8n/n8n-nodes-langchain.toolThink", "typeVersion": 1.1, "position": [ 2080, 416 ], "id": "84580ab8-92c9-423d-aeee-0382c0b6199d", "name": "Think" }, { "parameters": { "content": "# Orchestrator Agent\n\n", "height": 720, "width": 736, "color": 5 }, "type": "n8n-nodes-base.stickyNote", "position": [ 1536, 0 ], "typeVersion": 1, "id": "503783ec-7512-4d28-8c13-f349f44d0b50", "name": "Sticky Note7" }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.toolSerpApi", "typeVersion": 1, "position": [ 1328, 1616 ], "id": "f618ddb5-b806-4c14-830f-87b76ebf735c", "name": "Google Search", "disabled": true }, { "parameters": {}, "type": "@n8n/n8n-nodes-langchain.toolWikipedia", "typeVersion": 1, "position": [ 1184, 1616 ], "id": "a273eca0-02ae-4c21-bbf9-2b7929f0e38c", "name": "Wikipedia", "disabled": true }, { "parameters": { "articleId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Article_ID', ``, 'string') }}", "additionalFields": {} }, "type": "n8n-nodes-base.hackerNewsTool", "typeVersion": 1, "position": [ 1040, 1616 ], "id": "3eaa0a1a-94e9-4c19-a246-58bfa79f5c9d", "name": "Get an article in Hacker News", "disabled": true }, { "parameters": { "content": "# Web Search Agent\n\n", "height": 496, "width": 1520, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ 0, 1296 ], "typeVersion": 1, "id": "b8d8b9ee-e490-4c80-b17b-5637fc553025", "name": "Sticky Note8", "disabled": true }, { "parameters": { "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "start": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Start', ``, 'string') }}", "end": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('End', ``, 'string') }}", "useDefaultReminders": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Use_Default_Reminders', ``, 'boolean') }}", "additionalFields": { "attendees": [], "description": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Description', ``, 'string') }}", "summary": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Summary', ``, 'string') }}" } }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 2176, 1056 ], "id": "c80c887b-59ca-4565-ac05-c80fc403b725", "name": "Create an event", "disabled": true }, { "parameters": { "operation": "delete", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "eventId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 2416, 1056 ], "id": "c3cc8c99-aadb-44a5-b904-c6fea61a4c0f", "name": "Delete an event", "disabled": true }, { "parameters": { "operation": "getAll", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "returnAll": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}", "timeMin": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('After', ``, 'string') }}", "timeMax": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Before', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 2608, 1056 ], "id": "41be34c0-89c0-491c-bfc7-c51cec7bc323", "name": "Get Many Events", "disabled": true }, { "parameters": { "operation": "update", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "eventId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}", "updateFields": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 2816, 1056 ], "id": "cf40a0e2-4dd6-4818-8c5f-c33a9233fea7", "name": "Update Events", "disabled": true }, { "parameters": { "sendTo": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('To', ``, 'string') }}", "subject": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Subject', ``, 'string') }}", "emailType": "text", "message": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}", "options": { "appendAttribution": false } }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 608, 1088 ], "id": "be2ba26c-cd9e-4dc1-b4a1-4acaacd1931c", "name": "Send a message", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "disabled": true }, { "parameters": { "operation": "getAll", "returnAll": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}", "simple": false, "filters": {}, "options": {} }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 768, 1088 ], "id": "63b17edb-93bc-4ce7-a7f1-786d2779df0e", "name": "Get many e-mails", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "disabled": true }, { "parameters": { "operation": "markAsRead", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}" }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 976, 1088 ], "id": "03a15a92-dccb-46d7-9b59-43ef5ae3819e", "name": "Mark as read", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "disabled": true }, { "parameters": { "operation": "markAsUnread", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}" }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 1184, 1088 ], "id": "f2a05ba9-99fb-4d45-ab69-6702bfcfffb9", "name": "Mark as unread", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "disabled": true }, { "parameters": { "operation": "reply", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}", "emailType": "text", "message": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 1392, 1088 ], "id": "c3eca1cd-bded-4831-a0ac-3a5cc75a2377", "name": "Reply to e-mail", "webhookId": "bb7a5919-6824-4026-8720-4dc83b7f247e", "disabled": true }, { "parameters": { "content": "# E-Mail Agent\n\n\n", "height": 496, "width": 1520, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ 0, 752 ], "typeVersion": 1, "id": "11212fc8-52c2-44fc-923f-0189d85119fd", "name": "Sticky Note9", "disabled": true }, { "parameters": { "content": "# Calender Agent\n\n\n", "height": 496, "width": 1552, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ 1536, 752 ], "typeVersion": 1, "id": "1e5c028e-a11c-4a8b-9d8a-f9464c8c92e0", "name": "Sticky Note10", "disabled": true }, { "parameters": { "sessionIdType": "customKey", "sessionKey": "={{ $('Telegram Trigger').item.json.message.chat.id }}", "contextWindowLength": 50 }, "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "typeVersion": 1.3, "position": [ 1728, 400 ], "id": "1bbddc28-86b5-498b-94e4-476b2b140bbd", "name": "Simple Memory" }, { "parameters": { "path": "emails" }, "type": "@n8n/n8n-nodes-langchain.mcpTrigger", "typeVersion": 2, "position": [ 832, 832 ], "id": "b9f98662-0dac-4ca6-8dd0-d3f349eb2409", "name": "MCP Server Trigger", "webhookId": "7aebc8f8-e779-4eed-8874-f9497baac92c", "disabled": true }, { "parameters": { "path": "calendar" }, "type": "@n8n/n8n-nodes-langchain.mcpTrigger", "typeVersion": 2, "position": [ 2304, 832 ], "id": "e60f202f-0f16-45b5-b33a-ad2f838e755a", "name": "MCP Server Trigger1", "webhookId": "7aebc8f8-e779-4eed-8874-f9497baac92c", "disabled": true }, { "parameters": { "path": "websearch" }, "type": "@n8n/n8n-nodes-langchain.mcpTrigger", "typeVersion": 2, "position": [ 1008, 1360 ], "id": "88ee4a7f-8354-4f2a-b11a-2a58dad1d825", "name": "MCP Server Trigger2", "webhookId": "7aebc8f8-e779-4eed-8874-f9497baac92c", "disabled": true }, { "parameters": { "sessionIdType": "customKey", "sessionKey": "={{ $('Telegram Trigger').item.json.message.chat.id }}", "contextWindowLength": 50 }, "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "typeVersion": 1.3, "position": [ 272, 1088 ], "id": "255b1e0d-d90c-461e-868d-305c4f3dc985", "name": "Simple Memory1", "disabled": true }, { "parameters": { "sessionIdType": "customKey", "sessionKey": "={{ $('Telegram Trigger').item.json.message.chat.id }}", "contextWindowLength": 50 }, "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "typeVersion": 1.3, "position": [ 1744, 1072 ], "id": "a14fa982-1ed9-4bb3-a2af-a311f6a1fb04", "name": "Simple Memory2", "disabled": true }, { "parameters": { "endpointUrl": "https://elshamyn8n.shop/mcp/emails", "options": {} }, "type": "@n8n/n8n-nodes-langchain.mcpClientTool", "typeVersion": 1.1, "position": [ 448, 1088 ], "id": "e1311e31-fec7-4207-add5-fa6685128513", "name": "MCP Email Client", "disabled": true }, { "parameters": { "endpointUrl": "https://elshamyn8n.shop/mcp/calendar", "options": {} }, "type": "@n8n/n8n-nodes-langchain.mcpClientTool", "typeVersion": 1.1, "position": [ 1920, 1072 ], "id": "7fe58115-33b8-40fb-8a24-48c1692e990f", "name": "MCP Calendar Client", "disabled": true }, { "parameters": { "updates": [ "message" ], "additionalFields": {} }, "type": "n8n-nodes-base.telegramTrigger", "typeVersion": 1.2, "position": [ 32, 224 ], "id": "b224b799-640e-4fb8-9f0c-d62ac6e0163f", "name": "Telegram Trigger", "webhookId": "29baba86-48b1-4f93-af3b-2a96e7cd47b1" }, { "parameters": { "chatId": "={{ $('Telegram Trigger').item.json.message.chat.id }}", "text": "={{ $json.output }}", "additionalFields": { "appendAttribution": false } }, "type": "n8n-nodes-base.telegram", "typeVersion": 1.2, "position": [ 2624, 192 ], "id": "3e90ad7b-3bcb-4e9b-a608-59b6daa02fee", "name": "Send a text message", "webhookId": "e4bed5dc-7fed-4211-992c-df8039755f26" }, { "parameters": { "operation": "sendAudio", "chatId": "={{ $('Telegram Trigger').item.json.message.chat.id }}", "binaryData": true, "additionalFields": {} }, "type": "n8n-nodes-base.telegram", "typeVersion": 1.2, "position": [ 2768, 400 ], "id": "b1db08c6-500f-40b1-91c1-78281b8a840f", "name": "Send an audio file", "webhookId": "f395ebe1-6b08-4000-ad8a-cec809b89e39" }, { "parameters": { "resource": "file", "fileId": "={{ $json.message.photo[2].file_id }}", "additionalFields": { "mimeType": "image/jpeg" } }, "type": "n8n-nodes-base.telegram", "typeVersion": 1.2, "position": [ 640, 496 ], "id": "aca37e26-e3fb-4486-b2fd-911a22fe6cae", "name": "Get an Image", "webhookId": "5f1ee6fd-86f9-431d-8a90-1dc0e9c9eb65" }, { "parameters": { "resource": "file", "fileId": "={{ $json.message.voice.file_id }}", "additionalFields": {} }, "type": "n8n-nodes-base.telegram", "typeVersion": 1.2, "position": [ 544, 224 ], "id": "fcb85866-aaf8-4374-801d-707288937a9e", "name": "Get a Voice", "webhookId": "5f1ee6fd-86f9-431d-8a90-1dc0e9c9eb65" }, { "parameters": { "sessionIdType": "customKey", "sessionKey": "={{ $('Telegram Trigger').item.json.message.chat.id }}", "contextWindowLength": 50 }, "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "typeVersion": 1.3, "position": [ 400, 1600 ], "id": "a1592b44-00b4-449c-947d-2637574cee06", "name": "Simple Memory3", "disabled": true }, { "parameters": { "endpointUrl": "https://elshamyn8n.shop/mcp/websearch", "options": {} }, "type": "@n8n/n8n-nodes-langchain.mcpClientTool", "typeVersion": 1.1, "position": [ 576, 1600 ], "id": "038de6ee-b0cf-45e1-a10c-1d6bb05034d3", "name": "MCP Search Client", "disabled": true }, { "parameters": { "toolDescription": "AI Agent can Call this tool if you want to do something with calendar.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "=You are a helpful assistant, The current date and time is {{ $now.toString() }}" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ 1760, 848 ], "id": "d69c07ce-e17c-49f6-b86e-ef4e2231995b", "name": "Calendar Agent", "disabled": true }, { "parameters": { "toolDescription": "AI Agent can Call this tool if you want to do something with E-mails.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "=You are a helpful assistant, The current date and time is {{ $now.toString() }}" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ 288, 864 ], "id": "7b044d3d-9c4f-4cea-b70e-3fd0238b394d", "name": "E-Mail Agent", "disabled": true }, { "parameters": { "toolDescription": "AI Agent can Call this tool if you want to do something with E-mails.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "You are a helpful assistant, The current date and time is {{ $now.toString() }}" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ 416, 1376 ], "id": "ae29f652-1ab7-40ba-a54b-cbb5c1e8c82b", "name": "Web Search Agent", "notesInFlow": false, "disabled": true, "notes": "efdre" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "48ce1a29-e1a9-45b2-874b-e83fbf804787", "leftValue": "={{ $('Telegram Trigger').item.json.message.text }}", "rightValue": "", "operator": { "type": "string", "operation": "exists", "singleValue": true } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.2, "position": [ 2096, 96 ], "id": "3c33d395-e8fa-4bdd-8de0-60de48b86ca8", "name": "If" }, { "parameters": { "assignments": { "assignments": [ { "id": "02b044cf-399d-4d80-b0b5-e7102670bdc5", "name": "Text", "value": "={{ $json.content }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 1072, 496 ], "id": "7778eb70-a2be-44ca-9c88-ba19cd16e215", "name": "Edit Fields" }, { "parameters": { "resource": "image", "operation": "analyze", "modelId": { "__rl": true, "value": "gpt-4o-mini", "mode": "list", "cachedResultName": "GPT-4O-MINI" }, "inputType": "base64", "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ 848, 496 ], "id": "acc4f071-6d26-422d-8e97-59e835d8212d", "name": "Analyze image", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "resource": "audio", "operation": "transcribe", "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ 752, 224 ], "id": "472429be-06a7-454c-a962-5920a79d4e64", "name": "Transcribe a recording", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "resource": "audio", "input": "={{ $json.output }}", "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ 2544, 400 ], "id": "1d4e9bc4-9c92-4cb1-827f-f2c1bbb33f5a", "name": "Generate audio", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "model": { "__rl": true, "value": "gpt-5", "mode": "list", "cachedResultName": "gpt-5" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ 1616, 288 ], "id": "1bb4c65b-4b23-4b44-aa30-34d7845c977c", "name": "OpenAI Chat Model", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "model": { "__rl": true, "value": "gpt-5-mini", "mode": "list", "cachedResultName": "gpt-5-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ 1600, 1056 ], "id": "0eb14167-9b86-49e3-93b1-299b4f1a4f78", "name": "OpenAI Chat Model1", "disabled": true }, { "parameters": { "model": { "__rl": true, "value": "gpt-5-mini", "mode": "list", "cachedResultName": "gpt-5-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ 80, 1088 ], "id": "95340666-fb70-4265-b9c2-6828b05c002f", "name": "OpenAI Chat Model2", "disabled": true }, { "parameters": { "model": { "__rl": true, "value": "gpt-5-mini", "mode": "list", "cachedResultName": "gpt-5-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ 224, 1600 ], "id": "ed4f21da-b98d-4960-9a74-7099ff1dc321", "name": "OpenAI Chat Model3", "disabled": true } ], "connections": { "Switch": { "main": [ [ { "node": "Text", "type": "main", "index": 0 } ], [ { "node": "Get a Voice", "type": "main", "index": 0 } ], [ { "node": "Get an Image", "type": "main", "index": 0 } ] ] }, "Text": { "main": [ [ { "node": "Orchestrator Agent", "type": "main", "index": 0 } ] ] }, "Voice": { "main": [ [ { "node": "Orchestrator Agent", "type": "main", "index": 0 } ] ] }, "Orchestrator Agent": { "main": [ [ { "node": "If", "type": "main", "index": 0 } ] ] }, "Think": { "ai_tool": [ [ { "node": "Orchestrator Agent", "type": "ai_tool", "index": 0 } ] ] }, "Google Search": { "ai_tool": [ [ { "node": "MCP Server Trigger2", "type": "ai_tool", "index": 0 } ] ] }, "Wikipedia": { "ai_tool": [ [ { "node": "MCP Server Trigger2", "type": "ai_tool", "index": 0 } ] ] }, "Get an article in Hacker News": { "ai_tool": [ [ { "node": "MCP Server Trigger2", "type": "ai_tool", "index": 0 } ] ] }, "Create an event": { "ai_tool": [ [ { "node": "MCP Server Trigger1", "type": "ai_tool", "index": 0 } ] ] }, "Delete an event": { "ai_tool": [ [ { "node": "MCP Server Trigger1", "type": "ai_tool", "index": 0 } ] ] }, "Get Many Events": { "ai_tool": [ [ { "node": "MCP Server Trigger1", "type": "ai_tool", "index": 0 } ] ] }, "Update Events": { "ai_tool": [ [ { "node": "MCP Server Trigger1", "type": "ai_tool", "index": 0 } ] ] }, "Send a message": { "ai_tool": [ [ { "node": "MCP Server Trigger", "type": "ai_tool", "index": 0 } ] ] }, "Get many e-mails": { "ai_tool": [ [ { "node": "MCP Server Trigger", "type": "ai_tool", "index": 0 } ] ] }, "Mark as read": { "ai_tool": [ [ { "node": "MCP Server Trigger", "type": "ai_tool", "index": 0 } ] ] }, "Mark as unread": { "ai_tool": [ [ { "node": "MCP Server Trigger", "type": "ai_tool", "index": 0 } ] ] }, "Reply to e-mail": { "ai_tool": [ [ { "node": "MCP Server Trigger", "type": "ai_tool", "index": 0 } ] ] }, "Simple Memory": { "ai_memory": [ [ { "node": "Orchestrator Agent", "type": "ai_memory", "index": 0 } ] ] }, "Simple Memory1": { "ai_memory": [ [ { "node": "E-Mail Agent", "type": "ai_memory", "index": 0 } ] ] }, "Simple Memory2": { "ai_memory": [ [ { "node": "Calendar Agent", "type": "ai_memory", "index": 0 } ] ] }, "MCP Email Client": { "ai_tool": [ [ { "node": "E-Mail Agent", "type": "ai_tool", "index": 0 } ] ] }, "MCP Calendar Client": { "ai_tool": [ [ { "node": "Calendar Agent", "type": "ai_tool", "index": 0 } ] ] }, "Telegram Trigger": { "main": [ [ { "node": "Switch", "type": "main", "index": 0 } ] ] }, "Get a Voice": { "main": [ [ { "node": "Transcribe a recording", "type": "main", "index": 0 } ] ] }, "Get an Image": { "main": [ [ { "node": "Analyze image", "type": "main", "index": 0 } ] ] }, "Simple Memory3": { "ai_memory": [ [ { "node": "Web Search Agent", "type": "ai_memory", "index": 0 } ] ] }, "MCP Search Client": { "ai_tool": [ [ { "node": "Web Search Agent", "type": "ai_tool", "index": 0 } ] ] }, "Calendar Agent": { "ai_tool": [ [ { "node": "Orchestrator Agent", "type": "ai_tool", "index": 0 } ] ] }, "E-Mail Agent": { "ai_tool": [ [ { "node": "Orchestrator Agent", "type": "ai_tool", "index": 0 } ] ] }, "Web Search Agent": { "ai_tool": [ [ { "node": "Orchestrator Agent", "type": "ai_tool", "index": 0 } ] ] }, "If": { "main": [ [ { "node": "Send a text message", "type": "main", "index": 0 } ], [ { "node": "Generate audio", "type": "main", "index": 0 } ] ] }, "Edit Fields": { "main": [ [ { "node": "Orchestrator Agent", "type": "main", "index": 0 } ] ] }, "Analyze image": { "main": [ [ { "node": "Edit Fields", "type": "main", "index": 0 } ] ] }, "Transcribe a recording": { "main": [ [ { "node": "Voice", "type": "main", "index": 0 } ] ] }, "Generate audio": { "main": [ [ { "node": "Send an audio file", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "Orchestrator Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "OpenAI Chat Model1": { "ai_languageModel": [ [ { "node": "Calendar Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "OpenAI Chat Model2": { "ai_languageModel": [ [ { "node": "E-Mail Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "OpenAI Chat Model3": { "ai_languageModel": [ [ { "node": "Web Search Agent", "type": "ai_languageModel", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1" }, "staticData": null, "pinData": { "Telegram Trigger": [ { "json": { "update_id": 298056008, "message": { "message_id": 75, "from": { "id": 6169020576, "is_bot": false, "first_name": "Mohamed", "last_name": "Elshamy", "username": "melshamy1", "language_code": "en" }, "chat": { "id": 6169020576, "first_name": "Mohamed", "last_name": "Elshamy", "username": "melshamy1", "type": "private" }, "date": 1759620422, "voice": { "duration": 2, "mime_type": "audio/ogg", "file_id": "AwACAgQAAxkBAANLaOGtRYOknTLK9lytsZtHVMA6BtUAAsweAAKWSwlTQ6B6G7TYkvA2BA", "file_unique_id": "AgADzB4AApZLCVM", "file_size": 42865 } } } } ] }, "versionId": "f5ba8b2e-ace8-4ca3-a873-e07c822e3326", "meta": null }, { "id": "YpvsyyILI1YNp573", "name": "53_EvoChatBot", "active": 0, "nodes": [ { "parameters": { "rules": { "values": [ { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "leftValue": "={{ $json.body.data.message }}", "rightValue": "", "operator": { "type": "object", "operation": "exists", "singleValue": true }, "id": "35588a02-6475-400d-b869-da05d7ed0f3a" } ], "combinator": "and" }, "renameOutput": true, "outputKey": "Text" }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "ccdf529a-9e72-498f-8b9e-eb4506a4aa21", "leftValue": "={{ $json.body.data.message.audioMessage }}", "rightValue": "", "operator": { "type": "object", "operation": "exists", "singleValue": true } } ], "combinator": "and" }, "renameOutput": true, "outputKey": "Audio" }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "3ab7184b-65ec-4ca5-a250-667667999220", "leftValue": "={{ $json.body.data.message.imageMessage }}", "rightValue": "", "operator": { "type": "object", "operation": "exists", "singleValue": true } } ], "combinator": "and" }, "renameOutput": true, "outputKey": "Image" } ] }, "options": {} }, "type": "n8n-nodes-base.switch", "typeVersion": 3.2, "position": [ 528, 208 ], "id": "c14e517d-b122-451c-9523-3245f2c5d8c7", "name": "Switch" }, { "parameters": { "resource": "audio", "operation": "transcribe", "options": { "language": "en" } }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ 1216, 112 ], "id": "b99cb6ba-87d4-4bb9-905f-b59b0286b9e5", "name": "Transcribe a recording", "credentials": { "openAiApi": { "id": "NpBggKJcrJLV63HW", "name": "OpenAi account" } } }, { "parameters": { "assignments": { "assignments": [ { "id": "2f35809b-3889-4ef7-a8d5-a4d934842631", "name": "Text", "value": "={{ $json.body.data.message.conversation }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 1072, 48 ], "id": "c7477525-bde6-405c-8611-2abae9e5d74c", "name": "Text" }, { "parameters": { "assignments": { "assignments": [ { "id": "2f35809b-3889-4ef7-a8d5-a4d934842631", "name": "Text", "value": "={{ $json.text }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 1360, 240 ], "id": "4abcd822-1cba-40fe-bc89-0736c277f1e7", "name": "Voice" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "bbb5a4b6-7c2c-4af6-a584-e6352fd0068f", "leftValue": "={{ $('Webhook1').item.json.body.data.messageType }}", "rightValue": "conversation", "operator": { "type": "string", "operation": "exists", "singleValue": true } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.2, "position": [ 2112, 96 ], "id": "d0a0a6ea-11fb-4da2-8e58-152239bec8f7", "name": "If" }, { "parameters": { "resource": "audio", "input": "={{ $json.output }}", "voice": "shimmer", "options": { "response_format": "aac" } }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ 2768, 608 ], "id": "6151d017-01c8-43fb-bea6-b8fbdc0f0677", "name": "Generate audio", "disabled": true }, { "parameters": { "resource": "image", "operation": "analyze", "modelId": { "__rl": true, "value": "gpt-4o-mini", "mode": "list", "cachedResultName": "GPT-4O-MINI" }, "text": "=What's in this image?", "inputType": "base64", "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ 1184, 448 ], "id": "4ffaf18e-9da0-42b2-958d-ef532e4107b4", "name": "Analyze image", "disabled": true }, { "parameters": { "assignments": { "assignments": [ { "id": "2f35809b-3889-4ef7-a8d5-a4d934842631", "name": "Text", "value": "=# The author provided the image and the text \n\n## Image Description\n{{ $json.content }}\n\n\n\n", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 1360, 448 ], "id": "222a1a08-99a1-4929-a8cb-338a31e1fb0c", "name": "Image + Text" }, { "parameters": { "content": "# Text\n", "height": 176, "width": 768, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ 736, 16 ], "typeVersion": 1, "id": "57f14335-0dca-48ae-b85c-f4b85dcee47e", "name": "Sticky Note" }, { "parameters": { "content": "# Voice\n", "height": 176, "width": 768, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ 736, 208 ], "typeVersion": 1, "id": "c852ac38-2489-43d3-8346-1ce05947d9dd", "name": "Sticky Note1" }, { "parameters": { "content": "# Image\n", "height": 208, "width": 768, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ 736, 400 ], "typeVersion": 1, "id": "e6192067-da1b-4f21-bfcb-f178b0a06151", "name": "Sticky Note2" }, { "parameters": { "content": "# Inputs\n", "height": 720, "width": 1536 }, "type": "n8n-nodes-base.stickyNote", "position": [ 0, 0 ], "typeVersion": 1, "id": "f671807b-7601-4507-a238-f18bd3928ab1", "name": "Sticky Note3" }, { "parameters": { "promptType": "define", "text": "={{ $json.Text }}", "options": { "systemMessage": "=## Overview\nYou are the Parent Orchestrator Agent. Your job is to route and coordinate incoming WhatsApp messages (text, voice, image) to the correct sub-agent or processing tool. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Think: Use to evaluate context and decide routing logic\n- E-Mails Agent: Use for handling email-related queries, sending, replying, or managing inbox\n- Calendar Agent: Use for scheduling, retrieving, updating, or deleting calendar events\n- Web Search Agent: Use to fetch information from the internet (Google Search, Wikipedia, Hacker News)\n- Social Media Agent: Use to create or manage posts on Twitter/X\n\n## Rules\n- Route text, voice, or image inputs based on intent and context\n- Use Think tool when unsure which agent to delegate to\n- Always return the response in the correct WhatsApp output format (text or audio)\n- Keep responses concise and aligned with the casual tone of WhatsApp\n- Confirm completion of actions (emails sent, events scheduled, tweets posted, etc.)\n\n## Instructions\n1) Receive processed input (transcribed text, analyzed image, or raw message)\n2) Decide best-fit agent using Think\n3) Send the task to chosen sub-agent (E-Mails, Calendar, Web Search, Social Media)\n4) Summarize the result and return to WhatsApp as text or audio\n\n## Examples\n1)\nInput: \"What’s on my calendar tomorrow?\"\n- Action: Use Calendar Agent to check tomorrow’s events\n- Output: \"You have 2 events tomorrow: 10 AM – Project Review, 2 PM – Client Call.\"\n\n2)\nInput: Voice message: \"Send an email to Sarah about the meeting.\"\n- Action: Use E-Mails Agent to draft and send email\n- Output: \"Email sent to Sarah: Subject – Meeting Update...\"\n\n3)\nInput: \"Search the latest AI news.\"\n- Action: Use Web Search Agent\n- Output: \"Latest AI news from Hacker News: OpenAI released a new API feature...\"\n\n4)\nInput: \"Post on Twitter: Excited about our new product launch!\"\n- Action: Use Social Media Agent\n- Output: \"Tweet posted: 'Excited about our new product launch!'\"\n" } }, "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 2.1, "position": [ 1808, 96 ], "id": "2543716a-8c40-4cc3-a926-c52329bf3a29", "name": "Orchestrator Agent", "retryOnFail": false }, { "parameters": { "content": "# Voice\n\n", "height": 176, "width": 576, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "position": [ 2448, 288 ], "typeVersion": 1, "id": "52e96eee-f8be-4495-b827-25350b6e98e0", "name": "Sticky Note4" }, { "parameters": { "content": "# Text\n\n", "height": 176, "width": 576, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "position": [ 2448, 64 ], "typeVersion": 1, "id": "83257bd7-9048-472e-bb32-903d3d49c5cf", "name": "Sticky Note5" }, { "parameters": { "content": "# Output\n", "height": 704, "width": 896 }, "type": "n8n-nodes-base.stickyNote", "position": [ 2304, 0 ], "typeVersion": 1, "id": "37bccbfe-0eea-46d0-9470-f6a219342420", "name": "Sticky Note6" }, { "parameters": { "toolDescription": "Call this tool if you want to do something with calendar.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "=## Overview\nYou are the Calendar Agent. Your job is to manage calendar events by creating, updating, retrieving, or deleting them as requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Create an event: Use to add a new calendar event\n- Delete an event: Use to remove an existing event\n- Get an event: Use to fetch details of a specific event\n- Get Many Events: Use to list multiple upcoming or past events\n- Update Events: Use to modify details of an existing event\n\n## Rules\n- Always confirm the date, time, and event details before creating or updating\n- Use Get Many Events before creating to avoid duplicates if unsure\n- Keep responses short and clear for WhatsApp delivery\n- If an event cannot be found, respond politely with a fallback message\n\n## Instructions\n1) Interpret the user’s calendar request\n2) Select the correct tool (create, get, update, delete)\n3) Execute the action and return a human-friendly summary\n4) Always confirm the action back to the user\n\n## Examples\n1)\nInput: \"Add a meeting with Sarah tomorrow at 3 PM\"\n- Action: Use Create an event\n- Output: \"Meeting with Sarah scheduled for tomorrow at 3 PM.\"\n\n2)\nInput: \"What’s on my calendar this week?\"\n- Action: Use Get Many Events\n- Output: \"You have 4 events this week. First: Team Sync, Monday 10 AM.\"\n\n3)\nInput: \"Cancel my dentist appointment on Friday\"\n- Action: Use Delete an event\n- Output: \"Dentist appointment on Friday has been deleted.\"\n" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ 2496, 816 ], "id": "06ee915b-3524-46c5-a52c-244158f26c9e", "name": "Calendar Agent", "disabled": true }, { "parameters": { "toolDescription": "Call this tool if you want to do something with E-mails.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "You are a helpful assistant" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ 1440, 848 ], "id": "c075267c-4254-4be4-8c87-1bf55a6ed153", "name": "E-Mails Agent1", "disabled": true }, { "parameters": {}, "type": "@n8n/n8n-nodes-langchain.toolThink", "typeVersion": 1.1, "position": [ 2064, 256 ], "id": "f8a0473e-7587-4927-8ff8-e6f39a6f40fd", "name": "Think" }, { "parameters": { "toolDescription": "Call this tool to search the web.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "## Overview\nYou are the Web Search Agent. Your job is to search the web and retrieve reliable information from news, Wikipedia, or Google Search when requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Get an article in Hacker News: Use to fetch recent Hacker News articles\n- Wikipedia: Use to retrieve encyclopedic and factual information\n- Google Search (SerpApi): Use for general web searches across the internet\n\n## Rules\n- Always choose the most relevant tool for the query\n- Return concise, clear, and factual responses\n- Summarize results instead of dumping raw data\n- Cite the source of information (e.g., \"According to Wikipedia...\")\n\n## Instructions\n1) Interpret the user’s query\n2) Select the best tool (Hacker News, Wikipedia, Google Search)\n3) Retrieve and summarize the answer\n4) Return only the relevant response in plain text\n\n## Examples\n1)\nInput: \"What’s the latest AI news?\"\n- Action: Use Hacker News tool to get recent articles\n- Output: \"Latest on Hacker News: OpenAI released a new API feature...\"\n\n2)\nInput: \"Who invented the telephone?\"\n- Action: Use Wikipedia tool\n- Output: \"According to Wikipedia, Alexander Graham Bell is credited with inventing the telephone in 1876.\"\n\n3)\nInput: \"Best restaurants in New York 2025\"\n- Action: Use Google Search (SerpApi)\n- Output: \"Top-rated restaurants in New York (2025): Le Bernardin, Eleven Madison Park, Atomix.\"\n" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ 480, 864 ], "id": "e161ffec-71c0-4252-bc65-c4764fb20b8e", "name": "Search Agent", "notesInFlow": false, "disabled": true }, { "parameters": { "content": "# Orchestrator Agent\n\n", "height": 368, "width": 736, "color": 5 }, "type": "n8n-nodes-base.stickyNote", "position": [ 1552, 0 ], "typeVersion": 1, "id": "331c5300-66e7-4628-8a7d-3f5b311bf7e8", "name": "Sticky Note7" }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.toolSerpApi", "typeVersion": 1, "position": [ 816, 1088 ], "id": "90ab4032-8e3d-4f21-847b-3be5424a58e2", "name": "Google Search", "disabled": true }, { "parameters": {}, "type": "@n8n/n8n-nodes-langchain.toolWikipedia", "typeVersion": 1, "position": [ 672, 1088 ], "id": "a5997b87-f066-476d-b727-928c6975847e", "name": "Wikipedia", "disabled": true }, { "parameters": { "articleId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Article_ID', ``, 'string') }}", "additionalFields": {} }, "type": "n8n-nodes-base.hackerNewsTool", "typeVersion": 1, "position": [ 528, 1088 ], "id": "c3ca1909-af64-49e0-a139-0a3d445ec375", "name": "Get an article in Hacker News", "disabled": true }, { "parameters": { "content": "# Web Search Agent\n\n", "height": 496, "width": 1040, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ 0, 752 ], "typeVersion": 1, "id": "c5f98461-1920-4b1b-b5dc-4786d17f73a6", "name": "Sticky Note8" }, { "parameters": { "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "start": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Start', ``, 'string') }}", "end": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('End', ``, 'string') }}", "useDefaultReminders": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Use_Default_Reminders', ``, 'boolean') }}", "additionalFields": { "attendees": [], "description": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Description', ``, 'string') }}", "summary": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Summary', ``, 'string') }}" } }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 2464, 1056 ], "id": "628890b8-e2a7-4132-8340-c485fded4f0b", "name": "Create an event", "disabled": true }, { "parameters": { "operation": "delete", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "eventId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 2624, 1056 ], "id": "41b47523-2bf3-4cfd-a9a7-3ba49a1d9771", "name": "Delete an event", "disabled": true }, { "parameters": { "operation": "get", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "eventId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 2752, 1056 ], "id": "a8287e0f-5e80-4c2b-b863-20f93c34ba26", "name": "Get an event", "disabled": true }, { "parameters": { "operation": "getAll", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "returnAll": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}", "timeMin": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('After', ``, 'string') }}", "timeMax": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Before', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 2896, 1056 ], "id": "65fc84df-1fbf-4672-b3ba-ffcb419f98d5", "name": "Get Many Events", "disabled": true }, { "parameters": { "operation": "update", "calendar": { "__rl": true, "value": "alyfar601@gmail.com", "mode": "list", "cachedResultName": "alyfar601@gmail.com" }, "eventId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}", "updateFields": {} }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 3040, 1056 ], "id": "a67a1bad-674f-4d9b-b13d-34c179be70ae", "name": "Update Events", "disabled": true }, { "parameters": { "sendTo": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('To', ``, 'string') }}", "subject": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Subject', ``, 'string') }}", "emailType": "text", "message": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}", "options": { "appendAttribution": false } }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 1232, 1088 ], "id": "9e6ef930-be32-424b-a042-1dcbf0517c04", "name": "Send a message", "webhookId": "007ef44f-18fb-4fb0-b9bb-c39302708160", "credentials": { "gmailOAuth2": { "id": "6zeZfhesQ4wkWVzB", "name": "Gmail account 2" } }, "disabled": true }, { "parameters": { "operation": "getAll", "returnAll": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}", "simple": false, "filters": {}, "options": {} }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 1520, 1088 ], "id": "607e5509-825b-4f5b-be58-4c371e288fbe", "name": "Get many e-mails", "webhookId": "ab24367e-b1f5-4307-9721-1b27b53f6b1f", "disabled": true }, { "parameters": { "operation": "delete", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}" }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 1376, 1088 ], "id": "d7c07caf-0135-4998-9f46-b5e61c557ae7", "name": "Delete an e-mail", "webhookId": "ec0914d7-eb58-4d09-9925-ddf2cdea6ddd", "disabled": true }, { "parameters": { "operation": "markAsRead", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}" }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 1680, 1088 ], "id": "71dda4aa-a009-45ac-a4fd-f8841098a429", "name": "Mark as read", "webhookId": "88d91fc4-8537-44e9-83bb-66481b2d1063", "disabled": true }, { "parameters": { "operation": "markAsUnread", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}" }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 1840, 1088 ], "id": "e89ecdb7-55b9-4435-803d-4ce3d6622770", "name": "Mark as unread", "webhookId": "6aad4705-21aa-41ec-b57c-b37c1b3153cb", "disabled": true }, { "parameters": { "operation": "reply", "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}", "emailType": "text", "message": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}", "options": {} }, "type": "n8n-nodes-base.gmailTool", "typeVersion": 2.1, "position": [ 2016, 1088 ], "id": "389d3b40-463c-417c-9c70-94f50484ac58", "name": "Reply to e-mail", "webhookId": "ab98a4d3-3424-461c-b74a-e6eb795c9400", "disabled": true }, { "parameters": { "content": "# E-Mail Agent\n\n\n", "height": 496, "width": 1232, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ 1056, 752 ], "typeVersion": 1, "id": "6e288ca2-9bd8-4e3b-9bd9-edd04c7baeca", "name": "Sticky Note9" }, { "parameters": { "toolDescription": "Call this tool if you want to post on x.", "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}", "options": { "systemMessage": "=## Role\nYou are an expert in creating high-quality, engaging, and modern posts for **X (formerly Twitter)**. \nYou receive information and generate posts that are:\n\n- **Concise and informative**, without unnecessary details. \n- **Engaging and dynamic**, designed to capture attention and encourage interaction. \n- **Trending and optimized**, using relevant keywords and hashtags for maximum reach. \n- **Structured for readability**, utilizing short paragraphs, line breaks, and emojis to enhance engagement. \n\n---\n\n## Post Style\nYour posts should primarily focus on **AI topics** and often begin with this format:\n\n👉 *“XYZ just dropped XYZ, and people are already doing crazy stuff with it—10 examples.”* \n\n⚠️ **Important:** When creating a post, always use the **savePost** tool to store it. \n\n---\n\n## Tools\n\n### savePost\nUse this tool to save the post in a **Google Sheets document**. Include:\n\n- **Column 1:** Current date \n- **Column 2:** Post topic \n- **Column 3:** Post content (plain text) \n" } }, "type": "@n8n/n8n-nodes-langchain.agentTool", "typeVersion": 2.2, "position": [ 1808, 448 ], "id": "355ae964-654a-4a21-a06e-80bd6662effe", "name": "Social Media Agent", "disabled": true }, { "parameters": { "content": "# Calender Agent\n\n\n", "height": 496, "width": 880, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ 2304, 752 ], "typeVersion": 1, "id": "1e56f5dd-13d2-40c6-855c-68dfd6ae8cf3", "name": "Sticky Note10" }, { "parameters": { "content": "# Social Media - Twitter\n\n\n", "height": 336, "width": 736, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "position": [ 1552, 384 ], "typeVersion": 1, "id": "8a63d7d3-b730-44e2-b1f4-4665dc43331c", "name": "Sticky Note11" }, { "parameters": { "additionalFields": {} }, "type": "n8n-nodes-base.twitterTool", "typeVersion": 2, "position": [ 1776, 560 ], "id": "a55c81f3-a5ef-40e9-a812-c8f4f970315e", "name": "Create Tweet in X", "disabled": true }, { "parameters": { "operation": "appendOrUpdate", "documentId": { "__rl": true, "value": "1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU", "mode": "list", "cachedResultName": "X-Posts", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU/edit?usp=drivesdk" }, "sheetName": { "__rl": true, "value": "gid=0", "mode": "list", "cachedResultName": "Sheet1", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU/edit#gid=0" }, "columns": { "mappingMode": "defineBelow", "value": { "Date ": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Date_', ``, 'string') }}", "Theme": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Theme', ``, 'string') }}", "Posts": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Posts', ``, 'string') }}" }, "matchingColumns": [ "Date " ], "schema": [ { "id": "Date ", "displayName": "Date ", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true, "removed": false }, { "id": "Theme", "displayName": "Theme", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Posts", "displayName": "Posts", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true } ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "type": "n8n-nodes-base.googleSheetsTool", "typeVersion": 4.7, "position": [ 2080, 576 ], "id": "bc8e3c29-a869-4ff5-9c4f-823dc82d6d8f", "name": "x post", "disabled": true }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ 1600, 592 ], "id": "df05a226-6933-4812-a7aa-df7c7d44d523", "name": "GPT-4.1-mini1", "disabled": true }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ 384, 1088 ], "id": "d90ccfdd-159d-4441-9994-f9dd5a3b0baf", "name": "GPT-4.1-mini2", "disabled": true }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ 1088, 1072 ], "id": "4a59d8b1-0783-4cca-8828-a09196ea9791", "name": "GPT-4.1-mini3", "disabled": true }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ 2336, 1056 ], "id": "6361cdfe-5d4e-4bfd-8a08-765f8d035644", "name": "GPT-4.1-mini4", "disabled": true }, { "parameters": { "sessionIdType": "customKey", "sessionKey": "={{ $json.Text }}", "contextWindowLength": 50 }, "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "typeVersion": 1.3, "position": [ 1808, 272 ], "id": "4f4c9d4f-129d-47dd-ba27-3bafc9208974", "name": "Simple Memory" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "deae02c9-1aa9-43c0-b802-2e4f350fc27f", "leftValue": "={{ $json.body.data.key.remoteJid }}", "rightValue": "15148141999@s.whatsapp.net", "operator": { "type": "string", "operation": "equals", "name": "filter.operator.equals" } }, { "id": "fc183bc1-3910-4282-be07-66b5248d3833", "leftValue": "={{ $json.body.data.pushName }}", "rightValue": "Bala", "operator": { "type": "string", "operation": "equals", "name": "filter.operator.equals" } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.2, "position": [ 272, 224 ], "id": "36a5695a-73f4-4e11-8223-3c9ed88ddc65", "name": "If1", "retryOnFail": false, "executeOnce": false, "alwaysOutputData": false }, { "parameters": {}, "type": 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"248876fd-088e-4a79-a578-1c6dc1fafa92" }, { "parameters": { "mode": "combine", "combinationMode": "mergeByPosition", "options": {} }, "type": "n8n-nodes-base.merge", "typeVersion": 2, "name": "Merge: Eval + AI Detect", "position": [ 304, 608 ], "id": "5c6b34ea-ad79-4b41-8b33-903ac5a2a881" }, { "parameters": {}, "type": "n8n-nodes-base.airtable", "typeVersion": 3, "name": "Airtable: Find by Email", "position": [ 512, 608 ], "id": "32fef5f0-ba29-4491-bc85-e967f5df8fe1", "credentials": {} }, { "parameters": {}, "type": "n8n-nodes-base.airtable", "typeVersion": 3, "name": "Airtable: Update Q Scores", "position": [ 704, 608 ], "id": "277954aa-b2e1-4335-95f4-84fee9eb1de8", "credentials": {} }, { "parameters": {}, "type": "n8n-nodes-base.googleCalendar", "typeVersion": 4, "name": "Calendar: Get Events", "position": [ -96, 944 ], "id": "62c4a78c-0fe4-43e7-b5cf-17a8be5ff530", "credentials": {} }, { "parameters": {}, "type": "n8n-nodes-base.function", "typeVersion": 2, "name": "Function: Find Slot", "position": [ 112, 944 ], "id": "540f25be-3e4f-4e89-9266-a7c13d526d28" }, { "parameters": {}, "type": "n8n-nodes-base.zoom", "typeVersion": 2, "name": "Zoom: Create Meeting", "position": [ 304, 944 ], "id": "2c01aaa1-e577-466f-a88d-32d420dd7a25", "credentials": {} }, { "parameters": {}, "type": "n8n-nodes-base.gmail", "typeVersion": 3, "name": "Gmail: Send Invite", "position": [ 512, 944 ], "id": "18dde5ed-881c-46ec-8644-51da4623bf65", "credentials": {} }, { "parameters": {}, "type": "n8n-nodes-base.airtable", "typeVersion": 3, "name": "Airtable: Update Interview", "position": [ 704, 944 ], "id": "5b6578ea-c05a-4690-a8d3-580461d83f02", "credentials": {} } ], "connections": { "Form Trigger: Application": { "main": [ [ { "node": "Google Drive: Upload CV", "type": "main", "index": 0 }, { "node": "Google Drive: Download CV", "type": "main", "index": 0 } ] ] }, "Google Drive: Upload CV": { "main": [ [ { "node": "Google Drive: Make Public", "type": "main", "index": 0 } ] ] }, "Sapling: AI Detector": { "main": [ [ { "node": "Merge: Eval + AI Detect", "type": "main", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1" }, "staticData": null, "pinData": {}, "versionId": "ba3b7d54-04c9-40ad-8c9b-00c59f6d8d4f", "meta": null }, { "id": "7Ynqi0o4DPK4ImHF", "name": "Multi-Agent Feedback Loops", "active": 0, "nodes": [ { "parameters": { "promptType": "define", "text": "=Product: {{$json[\"productDescription\"]}}", "options": { "systemMessage": "You are a creative branding agent. Based on this product description, generate 3 distinct name + tagline options.\n\nReturn your output in this format:\n[\n { \"name\": \"Name1\", \"tagline\": \"Tagline1\" },\n { \"name\": \"Name2\", \"tagline\": \"Tagline2\" },\n { \"name\": \"Name3\", \"tagline\": \"Tagline3\" }\n]\n" } }, "id": "d0a5b97f-fb30-4b1a-a27e-8ae938bac193", "name": "AI Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 256, -464 ], "typeVersion": 2 }, { "parameters": { "options": { "reset": true } }, "id": "785a5de3-f1b1-457d-9375-b182045ffd6f", "name": "Loop Over Items", "type": "n8n-nodes-base.splitInBatches", "position": [ 656, -464 ], "typeVersion": 3 }, { "parameters": { "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "or", "conditions": [ { "id": "595ebd64-59de-470c-9827-24d204db58f9", "operator": { "type": "number", "operation": "equals" }, "leftValue": "={{ $json.turn }}", "rightValue": 5 }, { "id": "fb2ec186-4676-4e91-85b1-af7ce745b203", "operator": { "name": "filter.operator.equals", "type": "string", "operation": "equals" }, "leftValue": "={{ $json.done }}", "rightValue": "Yes" } ] }, "options": {} }, "id": "69d1a624-883b-4bc6-9a1a-b45e2da6feb1", "name": "If", "type": "n8n-nodes-base.if", "position": [ 1088, -336 ], "typeVersion": 2.2 }, { "parameters": { "promptType": "define", "text": "=Ideas:\n{{JSON.stringify($('Edit Fields').item.json.ideas)}}", "options": { "systemMessage": "You are a critical branding analyst. For each name + tagline below, provide a short flaw summary and a suggestion for improvement." } }, "id": "f00169ff-9cd9-44b1-a908-398ef8f1ffcc", "name": "Critic Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 1328, -288 ], "typeVersion": 2 }, { "parameters": { "promptType": "define", "text": "=**Original Ideas:** {{ JSON.stringify($('Edit Fields').item.json.ideas) }}\n\n**Critics Feedback:** {{ $json.output }}", "options": { "systemMessage": "You are a refiner. Use the original ideas and the critic’s feedback to create 3 improved name + tagline combinations.\n\nBe concise, clever, and impactful.\n\nReturn your output in this format:\n[\n { \"name\": \"Name1\", \"tagline\": \"Tagline1\" },\n { \"name\": \"Name2\", \"tagline\": \"Tagline2\" },\n { \"name\": \"Name3\", \"tagline\": \"Tagline3\" }\n]\n" } }, "id": "a1e02cf9-d88d-48b9-b2bf-ff902cb947cc", "name": "Refiner Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 1680, -176 ], "typeVersion": 2 }, { "parameters": { "assignments": { "assignments": [ { "id": "1c6c6fc2-96de-469a-b30f-7ffae52c9847", "name": "ideas", "type": "array", "value": "={{ $json.output }}" }, { "id": "1a857aee-ae3f-4e81-a09c-a9e83edd9b98", "name": "turn", "type": "number", "value": "={{ $json.turn || 1}}" }, { "id": "d310985b-59a3-44b8-aa5a-e77f2b352ae4", "name": "done", "type": "string", "value": "={{ $json.done || \"No\"}}" } ] }, "options": {} }, "id": "10b1dfc5-b954-4fbc-8087-8a9b3f3ee1b0", "name": "Edit Fields", "type": "n8n-nodes-base.set", "position": [ 880, -336 ], "typeVersion": 3.4 }, { "parameters": { "jsCode": "const ideas = $json.output.ideas || [];\nconst currentTurn = $json.output.turn ?? 0;\nconst currentDone = $json.output.done || \"No\";\n\nconst nextTurn = currentTurn + 1;\n\nreturn [\n {\n json: {\n ideas,\n turn: nextTurn,\n done: currentDone\n }\n }\n];\n" }, "id": "ff282af2-312f-4019-8694-e386e48a338e", "name": "Code", "type": "n8n-nodes-base.code", "position": [ 2320, 160 ], "typeVersion": 2 }, { "parameters": { "assignments": { "assignments": [ { "id": "21a77915-3d73-450d-bc9c-f655471a3b56", "name": "output", "type": "array", "value": "={{ $json.ideas }}" }, { "id": "6dee88ae-c3f3-464a-a3cc-179bd28b7c5e", "name": "turn", "type": "number", "value": "={{ $json.turn }}" }, { "id": "2f2caa57-797c-4fa3-9126-da46777a2b63", "name": "done", "type": "string", "value": "={{ $json.done }}" } ] }, "options": {} }, "id": "c86b13af-2aed-497d-8ce5-8d972fc81cd4", "name": "Edit Fields1", "type": "n8n-nodes-base.set", "position": [ 2528, 176 ], "typeVersion": 3.4 }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini", "cachedResultName": "gpt-4.1-mini" }, "options": {} }, "id": "350da12e-0066-4723-845b-ce2704686610", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 1632, 176 ], "typeVersion": 1.2, "credentials": { "openAiApi": { "id": "hisXP9dqFfYwPYd8", "name": "OpenAi account N8N" } }, "disabled": true }, { "parameters": { "jsonSchemaExample": "{\n\t\"ideas\": [\n { \"name\": \"EnterpriseMind\", \"tagline\": \"Harness AI to transform your business ideas into reality.\" },\n { \"name\": \"InnoLogix\", \"tagline\": \"Capture and evolve your entrepreneurial ideas with AI-powered journaling.\" },\n { \"name\": \"VentureScript\", \"tagline\": \"Document and accelerate your startup journey with intelligent AI journaling.\" }],\n \"done\": \"Yes\",\n \"turn\": 2\n}" }, "id": "bf8805e5-5d85-4030-bfcc-da947e4cc3fe", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 2128, 160 ], "typeVersion": 1.2 }, { "parameters": {}, "id": "8b297e39-2411-441f-99ca-efe97f912bdf", "name": "When clicking ‘Execute workflow’", "type": "n8n-nodes-base.manualTrigger", "position": [ 32, -336 ], "typeVersion": 1 }, { "parameters": { "content": "# ⚙️ Setup Guide\n## This is a workflow for user's customization.\n### 🧑‍💻 Author: [Sebastian/OptiLever](www.linkedin.com/in/sebastian-9ab9b9242)\n\n### 🚀 Prerequisite:\n\n**1. Connect to Openai API account.**\n\n\n---\n\n### 🚀 Steps to Connect:\n\n\n1. **Edit Fields Node Setup (Initial)**\n- Locate the **\"Edit Fields\"** node at the beginning of the workflow.\n- **Edit the following fields:**\n- Ensure the input field **\"ideas\"** is set as an array.\n- Add a field **\"turn\"** to track the number of loop iterations (default value: 1).\n- Add a field **\"done\"** to track if the evaluation is complete (default value: false).\n\n\n\n2. **Critic Agent Setup**\n- Configure the **\"Critic Agent\"** node to analyze the input and provide feedback.\n- Ensure the output is structured to include suggestions for improvements.\n\n\n\n3. **Refiner Agent Setup**\n- Configure the **\"Refiner Agent\"** node to use the original input and critic feedback.\n- Ensure the output is an improved version of the input (e.g., three improved names and taglines).\n\n\n\n4. **Evaluation Agent Setup**\n- Configure the **\"Evaluation Agent\"** node to rank the refined outputs.\n- Ensure the output includes a **\"done\"** field indicating if the result is satisfactory.\n\n\n\n5. **Edit Fields Node Setup (Final)**\n- Ensure the final **\"Edit Fields\"** node matches the structure of the initial input.\n- This ensures the loop can process the data correctly in each iteration.\n\n\n\n6. **If Node Setup**\n- Configure the **\"If\"** node to check if **\"turn\"** exceeds a threshold (e.g., 5) or if **\"done\"** is true.\n- If true, exit the loop and proceed to the next step in the workflow.\n\n\n\n7. **Optional: Additional AI Agents**\n- Add additional AI agents after the loop to further process the final output.\n\n\n---\n\n\n", "height": 1160, "width": 3920, "color": 3 }, "id": "cee86c9e-1a38-4abb-a107-c53d619ddc87", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -480, -576 ], "typeVersion": 1 }, { "parameters": { "promptType": "define", "text": "=**Results To Examine:** {{ $json.output }}\n\n**Turns Through Loop:** {{ $('Edit Fields').item.json.turn }}", "hasOutputParser": true, "options": { "systemMessage": "You are an evaluator. Rank the 3 improved name ideas and taglines. Recommend if the names and taglines are so awesome that it would make anyone want to purchase from this company, or further improvement is needed (Yes/No). Output a JSON that follows this format:\n{\n\t\"ideas\": [\n { \"name\": \"EnterpriseMind\", \"tagline\": \"Harness AI to transform your business ideas into reality.\" },\n { \"name\": \"InnoLogix\", \"tagline\": \"Capture and evolve your entrepreneurial ideas with AI-powered journaling.\" },\n { \"name\": \"VentureScript\", \"tagline\": \"Document and accelerate your startup journey with intelligent AI journaling.\" }],\n \"done\": \"Yes\",\n \"turn\": 2\n}" } }, "id": "21f52dcb-a83f-4509-8dd0-be31b14d2a99", "name": "Evaluation agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 1984, -48 ], "typeVersion": 2 }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "typeVersion": 1, "position": [ 1472, 160 ], "id": "86c2ee76-7e33-44fa-9a9e-d84fe131f34a", "name": "Google Gemini Chat Model", "credentials": { "googlePalmApi": { "id": "xTC5bggV3FN3kz5r", "name": "Google Gemini(PaLM) Api account" } } }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.chatTrigger", "typeVersion": 1.3, "position": [ 240, -192 ], "id": "a67a339a-bf89-4ea0-8322-a4ee14d89cac", "name": "When chat message received", "webhookId": "6939b8b6-78ec-4d44-a04f-4abe5c01a5c2" } ], "connections": { "If": { "main": [ [], [ { "node": "Critic Agent", "type": "main", "index": 0 } ] ] }, "Code": { "main": [ [ { "node": "Edit Fields1", "type": "main", "index": 0 } ] ] }, "AI Agent": { "main": [ [ { "node": "Loop Over Items", "type": "main", "index": 0 } ] ] }, "Edit Fields": { "main": [ [ { "node": "If", "type": "main", "index": 0 } ] ] }, "Critic Agent": { "main": [ [ { "node": "Refiner Agent", "type": "main", "index": 0 } ] ] }, "Edit Fields1": { "main": [ [ { "node": "Loop Over Items", "type": "main", "index": 0 } ] ] }, "Refiner Agent": { "main": [ [ { "node": "Evaluation agent", "type": "main", "index": 0 } ] ] }, "Loop Over Items": { "main": [ [], [ { "node": "Edit Fields", "type": "main", "index": 0 } ] ] }, "Evaluation agent": { "main": [ [ { "node": "Code", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [] ] }, "Structured Output Parser": { "ai_outputParser": [ [ { "node": "Evaluation agent", "type": "ai_outputParser", "index": 0 } ] ] }, "When clicking ‘Execute workflow’": { "main": [ [] ] }, "Google Gemini Chat Model": { "ai_languageModel": [ [ { "node": "AI Agent", "type": "ai_languageModel", "index": 0 }, { "node": "Critic Agent", "type": "ai_languageModel", "index": 0 }, { "node": "Refiner Agent", "type": "ai_languageModel", "index": 0 }, { "node": "Evaluation agent", "type": "ai_languageModel", "index": 0 } ] ] }, "When chat message received": { "main": [ [ { "node": "AI Agent", "type": "main", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1" }, "staticData": null, "pinData": {}, "versionId": "5b5bb04b-a799-41b7-bf7b-3cdbcf23bfe1", "meta": { "templateCredsSetupCompleted": true } }, { "id": "C0UxiC41mDvl5DBE", "name": "Email Manager", "active": 0, "nodes": [ { "parameters": { "pollTimes": { "item": [ { "mode": "everyMinute" } ] }, "filters": {} }, "id": "f03402d7-c200-4dab-bfac-e4580871bf3c", "name": "Gmail Trigger", "type": "n8n-nodes-base.gmailTrigger", "position": [ -1040, 160 ], "typeVersion": 1.2, "credentials": { "gmailOAuth2": { "id": "6zeZfhesQ4wkWVzB", "name": "Gmail account API Key" } } }, { "parameters": { "operation": "get", "messageId": "={{ $json.id }}", "simple": false, "options": {} }, "id": "7a25bd73-0b9f-42a6-8747-42ae9ddb715d", "name": "Gmail", "type": "n8n-nodes-base.gmail", "position": [ -816, 208 ], "webhookId": "[REDACTED_WEBHOOK_ID]", "typeVersion": 2.1, "credentials": { "gmailOAuth2": { "id": "6zeZfhesQ4wkWVzB", "name": "Gmail account API Key" } } }, { "parameters": { "jsonSchemaExample": "{\n\t\"label\": \"Label name\", \n\"label ID\": \"label ID\" \n}" }, "id": "91155f4a-d2c9-4599-a8f4-39791498308a", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ -16, 320 ], "typeVersion": 1.2 }, { "parameters": { "operation": "addLabels", "messageId": "={{ $('Gmail').item.json.id }}", "labelIds": "={{ $json.output['label ID'] }}" }, "id": "f9300fdf-3872-43f1-a466-c2b2ea82a099", "name": "Gmail1", "type": "n8n-nodes-base.gmail", "position": [ 0, 0 ], "webhookId": "[REDACTED_WEBHOOK_ID]", "typeVersion": 2.1, "credentials": { "gmailOAuth2": { "id": "6zeZfhesQ4wkWVzB", "name": "Gmail account API Key" } } }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "claude-sonnet-4-20250514", "cachedResultName": "Claude Sonnet 4" }, "options": {} }, "id": "16eaaeb8-f3c4-4a38-97a0-f981226e1ce2", "name": "Anthropic Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic", "position": [ -768, 432 ], "typeVersion": 1.3, "disabled": true }, { "parameters": { "promptType": "define", "text": "Run the task.", "hasOutputParser": true, "options": { "systemMessage": "=**Objective:** Analyze the provided email data and classify it with the most appropriate label. **Utilize the capability to check for prior email history (emails sent to or received from the sender by `[REDACTED_EMAIL]`)** to determine if this is a first-time interaction (cold email) or part of an existing relationship. This context is crucial for accurate labeling, especially for distinguishing between Marketing, Notifications, and FYI. Respond with *only* the corresponding Label ID.\n\n**Your Email Address (for context):** `[REDACTED_EMAIL]`\n\n**Key Capabilities (to be used by the system executing this prompt):**\n* **Check Prior Email History:** Before full classification, determine if any prior email correspondence exists between `[REDACTED_EMAIL]` and `{{ $json.from.value[0].address }}`. This check should yield \"Yes\" (history exists) or \"No\" (no history found).\n\n**Input Email Data (from n8n JSON item for the *current* email):**\n* **Sender Email:** `{{ $json.from.value[0].address }}`\n* **Sender Name:** `{{ $json.from.value[0].name }}`\n* **Direct Recipient Emails (To):** `{{ $json.to.value.map(r => r.address).join(', ') }}`\n* **CC Recipient Emails:** `{{ $json.cc.value.map(r => r.address).join(', ') }}` *(Added this based on your JSON, use if populated)*\n* **Subject:** `{{ $json.subject }}`\n* **Body (Plain Text):** `{{ $json.text }}`\n* **Existing Gmail Labels (for current email):** `{{ $json.labelIds.join(', ') }}`\n* **Auto-Submitted Header:** `{{ $json.headers['auto-submitted'] }}`\n* **Original Sender Header (if different from From):** `{{ $json.headers.sender }}`\n* **In-Reply-To Header (for current email):** `{{ $json.headers['in-reply-to'] }}`\n* **References Header (for current email):** `{{ $json.headers.references }}`\n* **List-Unsubscribe Header:** `{{ $json.headers['list-unsubscribe'] }}`\n* **Precedence Header:** `{{ $json.headers.precedence }}` (e.g., \"Bulk\")\n\n**Labels, Descriptions, and Prioritization Logic:**\n\n**Guidance on Using Prior Email History & Unsubscribe Links:**\n* **Prior Email History = \"No\":** Strong indicator of a **cold/unsolicited email**.\n * If promotional/sales pitch: Likely \"Marketing.\"\n * If exceptionally personalized & high-value for Trigify: Rare \"To Respond.\"\n* **Prior Email History = \"Yes\":** Indicates an **existing relationship/conversation**.\n * If it's an update on terms, policies, or service changes from this known entity: Likely \"Notification.\"\n * If it's a newsletter Max subscribed to: Could be \"FYI\" or \"Marketing\" based on content.\n * If it's a direct message requiring action: Likely \"To Respond.\"\n* **`List-Unsubscribe` Header or Unsubscribe Links in Body:**\n * Common in \"Marketing\" emails.\n * Also present in many legitimate \"Notification\" emails (e.g., service updates, policy changes like the DPA example) and some \"FYI\" newsletters for compliance.\n * **Therefore, an unsubscribe link alone does not define the category. Consider it alongside Prior Email History and email content/purpose.**\n* **`Precedence: Bulk` Header:** Often indicates mass mailings, common for Marketing, Notifications, and some FYIs.\n\n---\n\n* **To Respond (Label ID: `Label_5151750749488724401`):**\n * **Primary Criteria:** Requires direct, timely action/reply from `[REDACTED_EMAIL]`.\n * **Key Indicators (especially if Prior Email History = \"Yes\"):** Direct questions to Max, assigned tasks, requests for info for Trigify, deadlines for Max, part of an active conversation (indicated by `In-Reply-To`/`References`).\n * **Sales Process Prioritization (Warm Leads/Active Processes - typically Prior Email History = \"Yes\"):** Ongoing, active Trigify sales process discussions.\n * **High-Value Cold Outreach (Exceptional Cases - Prior Email History = \"No\"):** Highly personalized, strategic opportunity for Trigify requiring Max's personal attention. (Default for cold sales is \"Marketing\").\n\n* **FYI (Label ID: `Label_7518716752151077752`):**\n * **Primary Criteria:** For Max's awareness; no immediate action/reply required.\n * **Key Indicators:**\n * Max is CC'd, primary action for others.\n * General announcements, *non-promotional* newsletters from *known entities/subscriptions* (Prior Email History = \"Yes\" or sender is clearly a subscribed source) that aren't critical service notifications.\n * Informational updates within ongoing projects where Max isn't the primary actor.\n * If an email is a mass mailing (`Precedence: Bulk`, `List-Unsubscribe` present) from a *known entity* (Prior Email History = \"Yes\") and is purely informational without a direct call to action or critical service update, it could be \"FYI.\"\n\n* **Comment (Label ID: `Label_1470120230130814788`):**\n * Comment/feedback on a document, task, system (e.g., subject \"New comment on...\").\n\n* **Notification (Label ID: `Label_9`):**\n * **Primary Criteria:** Provides important, often non-promotional, updates or alerts regarding an existing service, account, or system that `[REDACTED_EMAIL]` or Trigify uses or is affected by. Action is typically awareness, potential configuration change, or noting a deadline, rather than a conversational reply.\n * **Key Indicators:**\n * **Updates from Known Service Providers (Prior Email History = \"Yes\" is common):**\n * Changes to Terms of Service, Privacy Policies, Data Processing Agreements (DPAs like the \"Plain\" example).\n * Critical service availability announcements (outages, maintenance).\n * Security alerts related to an account Max uses.\n * Important updates about features or functionality of a service Trigify relies on, which are not primarily marketing new features.\n * System-generated alerts (e.g., `Auto-Submitted Header` = `auto-generated`) like social media notifications, non-meeting calendar reminders, some financial transaction alerts.\n * Subject lines may contain: \"Important Update,\" \"Service Notification,\" \"Policy Change,\" \"DPA Update,\" \"Security Alert.\"\n * Even if a `List-Unsubscribe` link is present (for compliance), if the core content is a critical service/account/legal update from a company Max/Trigify does business with, it's a \"Notification.\"\n * The `Existing Gmail Labels` might include `CATEGORY_UPDATES`.\n\n* **Meeting Update (Label ID: `Label_7958083858424702466`):**\n * Update specifically regarding a scheduled meeting (e.g., \"Accepted:\", \"Declined:\", \"Updated Invitation:\", \"Cancelled:\").\n\n* **Marketing (Label ID: `Label_5274550748854913384`):**\n * **Primary Criteria:** Unsolicited promotional sales pitch, advertisement, or general marketing newsletter, especially if **Prior Email History = \"No.\"**\n * **Key Indicators:**\n * **No prior email history found with the `Sender Email`,** AND the email is primarily aimed at selling a product/service or promoting a company/event to Max/Trigify.\n * Content is generic, focused on features/benefits without strong personalization to Max's known, active projects.\n * Contains a `List-Unsubscribe Header` AND the content is promotional.\n * `Existing Gmail Labels` may include `CATEGORY_PROMOTIONS`.\n * If **Prior Email History = \"Yes\"**: Could still be \"Marketing\" if it's a clearly promotional newsletter/offer from a known contact that doesn't fit \"Notification\" or demand a \"To Respond.\"\n\n---\n\n**Email Data for Classification (Summary):**\n* **Prior Email History with Sender (Yes/No) - From the new capability**\n* Sender Email: `{{ $json.from.value[0].address }}`\n* Sender Name: `{{ $json.from.value[0].name }}`\n* Direct Recipient Emails (To): `{{ $json.to.value.map(r => r.address).join(', ') }}`\n* CC Recipient Emails: `{{ $json.cc.value.map(r => r.address).join(', ') }}`\n* Subject: `{{ $json.subject }}`\n* Body (Plain Text): `{{ $json.text }}`\n* Existing Gmail Labels: `{{ $json.labelIds.join(', ') }}`\n* Auto-Submitted Header: `{{ $json.headers['auto-submitted'] }}`\n* Original Sender Header: `{{ $json.headers.sender }}`\n* In-Reply-To Header: `{{ $json.headers['in-reply-to'] }}`\n* References Header: `{{ $json.headers.references }}`\n* List-Unsubscribe Header: `{{ $json.headers['list-unsubscribe'] }}`\n* Precedence Header: `{{ $json.headers.precedence }}`\n\n**Output:** [Provide ONLY the Label ID here]" } }, "id": "0e64b31f-04fd-4956-9b81-f9a5d325b372", "name": "AI Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ -528, 80 ], "typeVersion": 1.9 }, { "parameters": { "operation": "getAll", "returnAll": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}", "filters": { "q": "=from:{{ $fromAI('email') }}" } }, "id": "e0097f6d-57cf-49e3-ab61-af6cf6fc3765", "name": "Get Email", "type": "n8n-nodes-base.gmailTool", "position": [ -256, 368 ], "webhookId": "[REDACTED_WEBHOOK_ID]", "typeVersion": 2.1, "credentials": { "gmailOAuth2": { "id": "6zeZfhesQ4wkWVzB", "name": "Gmail account API Key" } } }, { "parameters": { "operation": "getAll", "filters": { "labelIds": [ "SENT" ], "q": "=to:{{ $fromAI('email') }}" } }, "id": "6e2cc0c6-0ad6-4872-a87d-8095cc9f885b", "name": "Check Sent", "type": "n8n-nodes-base.gmailTool", "position": [ -464, 400 ], "webhookId": "[REDACTED_WEBHOOK_ID]", "typeVersion": 2.1, "credentials": { "gmailOAuth2": { "id": "6zeZfhesQ4wkWVzB", "name": "Gmail account API Key" } } }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "typeVersion": 1, "position": [ -672, 288 ], "id": "9a4d65dc-9af4-41dc-bf4f-43ee8f3a76d5", "name": "Google Gemini Chat Model", "credentials": { "googlePalmApi": { "id": "xTC5bggV3FN3kz5r", "name": "Google Gemini(PaLM) Api account" } } } ], "connections": { "Gmail": { "main": [ [ { "node": "AI Agent", "type": "main", "index": 0 } ] ] }, "AI Agent": { "main": [ [ { "node": "Gmail1", "type": "main", "index": 0 } ] ] }, "Get Email": { "ai_tool": [ [ { "node": "AI Agent", "type": "ai_tool", "index": 0 } ] ] }, "Check Sent": { "ai_tool": [ [ { "node": "AI Agent", "type": "ai_tool", "index": 0 } ] ] }, "Gmail Trigger": { "main": [ [ { "node": "Gmail", "type": "main", "index": 0 } ] ] }, "Anthropic Chat Model": { "ai_languageModel": [ [] ] }, "Structured Output Parser": { "ai_outputParser": [ [ { "node": "AI Agent", "type": "ai_outputParser", "index": 0 } ] ] }, "Google Gemini Chat Model": { "ai_languageModel": [ [ { "node": "AI Agent", "type": "ai_languageModel", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1" }, "staticData": null, "pinData": {}, "versionId": "4496b30f-ab69-436c-9541-545b32e84aa8", "meta": null }, { "id": "2bsZEjMOE2tvHJ9s", "name": "My workflow", "active": 0, "nodes": [ { "parameters": { "rule": { "interval": [ { "field": "hours", "hoursInterval": 24 } ] } }, "id": "c62c80cd-723d-4b76-9d11-1b67fa97f36c", "name": "Schedule Daily Check", "type": "n8n-nodes-base.scheduleTrigger", "position": [ -464, 672 ], "typeVersion": 1.2 }, { "parameters": { "additionalOptions": {}, "requestOptions": {} }, "id": "088d6298-702f-461f-9251-91e635e6afb6", "name": "Fetch Google Ads Data", "type": "n8n-nodes-base.googleAds", "position": [ -240, 672 ], "typeVersion": 1 }, { "parameters": { "jsCode": "// AI-powered campaign performance analysis\nconst items = $input.all();\nconst analyzedItems = [];\n\nfor (const item of items) {\n const data = item.json;\n let performanceScore = 0;\n let insights = [];\n let recommendations = [];\n let alertLevel = 'normal';\n \n // Extract metrics\n const clicks = data.metrics?.clicks || 0;\n const impressions = data.metrics?.impressions || 0;\n const cost = (data.metrics?.cost_micros || 0) / 1000000;\n const conversions = data.metrics?.conversions || 0;\n const ctr = impressions > 0 ? (clicks / impressions) * 100 : 0;\n const conversionRate = clicks > 0 ? (conversions / clicks) * 100 : 0;\n const costPerConversion = conversions > 0 ? cost / conversions : 0;\n const avgCpc = clicks > 0 ? cost / clicks : 0;\n \n // CTR Analysis (Click-Through Rate)\n if (ctr >= 5) {\n performanceScore += 30;\n insights.push(`Excellent CTR: ${ctr.toFixed(2)}% (+30 points)`);\n } else if (ctr >= 3) {\n performanceScore += 20;\n insights.push(`Good CTR: ${ctr.toFixed(2)}% (+20 points)`);\n } else if (ctr >= 1.5) {\n performanceScore += 10;\n insights.push(`Average CTR: ${ctr.toFixed(2)}% (+10 points)`);\n recommendations.push('Consider A/B testing ad copy to improve CTR');\n } else {\n insights.push(`Low CTR: ${ctr.toFixed(2)}% (0 points)`);\n recommendations.push('URGENT: Review ad relevance and targeting');\n alertLevel = 'warning';\n }\n \n // Conversion Rate Analysis\n if (conversionRate >= 10) {\n performanceScore += 35;\n insights.push(`Outstanding conversion rate: ${conversionRate.toFixed(2)}% (+35 points)`);\n } else if (conversionRate >= 5) {\n performanceScore += 25;\n insights.push(`Strong conversion rate: ${conversionRate.toFixed(2)}% (+25 points)`);\n } else if (conversionRate >= 2) {\n performanceScore += 15;\n insights.push(`Moderate conversion rate: ${conversionRate.toFixed(2)}% (+15 points)`);\n recommendations.push('Optimize landing pages for better conversions');\n } else {\n insights.push(`Low conversion rate: ${conversionRate.toFixed(2)}% (0 points)`);\n recommendations.push('CRITICAL: Review landing page experience and targeting');\n alertLevel = 'critical';\n }\n \n // Cost Efficiency Analysis\n if (costPerConversion > 0) {\n if (costPerConversion <= 25) {\n performanceScore += 25;\n insights.push(`Excellent cost per conversion: $${costPerConversion.toFixed(2)} (+25 points)`);\n } else if (costPerConversion <= 50) {\n performanceScore += 15;\n insights.push(`Good cost per conversion: $${costPerConversion.toFixed(2)} (+15 points)`);\n } else if (costPerConversion <= 100) {\n performanceScore += 8;\n insights.push(`Fair cost per conversion: $${costPerConversion.toFixed(2)} (+8 points)`);\n recommendations.push('Look for ways to reduce cost per conversion');\n } else {\n insights.push(`High cost per conversion: $${costPerConversion.toFixed(2)} (0 points)`);\n recommendations.push('URGENT: Review bid strategy and audience targeting');\n alertLevel = alertLevel === 'critical' ? 'critical' : 'warning';\n }\n }\n \n // Volume Analysis\n if (clicks >= 1000) {\n performanceScore += 10;\n insights.push(`High traffic volume: ${clicks} clicks (+10 points)`);\n } else if (clicks >= 500) {\n performanceScore += 5;\n insights.push(`Good traffic volume: ${clicks} clicks (+5 points)`);\n } else if (clicks < 100) {\n insights.push(`Low traffic volume: ${clicks} clicks (0 points)`);\n recommendations.push('Consider increasing budget or expanding targeting');\n }\n \n // Determine performance tier\n let performanceTier = 'Underperforming';\n if (performanceScore >= 75) {\n performanceTier = 'Excellent';\n } else if (performanceScore >= 55) {\n performanceTier = 'Good';\n } else if (performanceScore >= 35) {\n performanceTier = 'Fair';\n }\n \n // Add strategic recommendations\n if (performanceTier === 'Excellent') {\n recommendations.push('Scale this campaign - increase budget by 20-30%');\n recommendations.push('Use this as a template for new campaigns');\n } else if (performanceTier === 'Good') {\n recommendations.push('Test incremental budget increases');\n recommendations.push('Identify top-performing ad groups to scale');\n }\n \n analyzedItems.push({\n json: {\n ...data,\n campaignId: data.campaign?.id,\n campaignName: data.campaign?.name,\n campaignStatus: data.campaign?.status,\n performanceScore: performanceScore,\n performanceTier: performanceTier,\n alertLevel: alertLevel,\n insights: insights,\n recommendations: recommendations,\n metrics: {\n clicks: clicks,\n impressions: impressions,\n cost: cost.toFixed(2),\n conversions: conversions,\n ctr: ctr.toFixed(2),\n conversionRate: conversionRate.toFixed(2),\n costPerConversion: costPerConversion.toFixed(2),\n avgCpc: avgCpc.toFixed(2)\n },\n analyzedAt: new Date().toISOString()\n }\n });\n}\n\nreturn analyzedItems;" }, "id": "ab0c016e-06e5-48fc-9944-21b70e1608e5", "name": "AI Performance Analysis", "type": "n8n-nodes-base.code", "position": [ -16, 672 ], "typeVersion": 2 }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 1 }, "conditions": [ { "id": "excellent", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.performanceTier }}", "rightValue": "Excellent" }, { "id": "good", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.performanceTier }}", "rightValue": "Good" } ], "combinator": "or" }, "options": {} }, "id": "f4a07ca8-3df8-4a1c-9804-47a7f39e6178", "name": "Route by Performance", "type": "n8n-nodes-base.if", "position": [ 208, 672 ], "typeVersion": 2 }, { "parameters": { "operation": "appendOrUpdate", "documentId": { "__rl": true, "mode": "list", "value": "your-dashboard-spreadsheet-id", "cachedResultName": "PPC Performance Dashboard" }, "sheetName": { "__rl": true, "mode": "list", "value": "gid=0", "cachedResultName": "Daily Performance" }, "columns": { "value": { "CPC": "${{ $json.metrics.avgCpc }}", "CTR": "={{ $json.metrics.ctr }}%", "Cost": "={{ $json.metrics.cost }}", "Date": "={{ $now.toFormat('yyyy-MM-dd') }}", "Tier": "={{ $json.performanceTier }}", "Score": "={{ $json.performanceScore }}", "Clicks": "={{ $json.metrics.clicks }}", "Status": "={{ $json.campaignStatus }}", "Campaign": "={{ $json.campaignName }}", "Conv Rate": "={{ $json.metrics.conversionRate }}%", "Cost/Conv": "${{ $json.metrics.costPerConversion }}", "Conversions": "={{ $json.metrics.conversions }}", "Impressions": "={{ $json.metrics.impressions }}" }, "mappingMode": "defineBelow" }, "options": {} }, "id": "bbc66a9c-5ca9-44c7-b331-1de7773390a0", "name": "Update Campaign Dashboard", "type": "n8n-nodes-base.googleSheets", "position": [ 656, 480 ], "typeVersion": 4.4, "credentials": { "googleSheetsOAuth2Api": { "id": "vwmv6keJbqpxUxCf", "name": "Google Sheets account" } } }, { "parameters": { "operation": "appendOrUpdate", "documentId": { "__rl": true, "mode": "list", "value": "your-dashboard-spreadsheet-id", "cachedResultName": "PPC Performance Dashboard" }, "sheetName": { "__rl": true, "mode": "list", "value": "gid=1", "cachedResultName": "Campaign Log" }, "columns": { "value": { "Cost": "${{ $json.metrics.cost }}", "Tier": "={{ $json.performanceTier }}", "Score": "={{ $json.performanceScore }}", "Campaign": "={{ $json.campaignName }}", "Cost/Conv": "${{ $json.metrics.costPerConversion }}", "Timestamp": "={{ $now.toISO() }}", "Alert Level": "={{ $json.alertLevel }}", "Conversions": "={{ $json.metrics.conversions }}" }, "mappingMode": "defineBelow" }, "options": {} }, "id": "8bafd6cf-8003-4668-8eaa-bb567aa84328", "name": "Log All Campaigns", "type": "n8n-nodes-base.googleSheets", "position": [ 432, 864 ], "typeVersion": 4.4, "credentials": { "googleSheetsOAuth2Api": { "id": "vwmv6keJbqpxUxCf", "name": "Google Sheets account" } } }, { "parameters": { "select": "channel", "channelId": { "__rl": true, "value": "#ai-system-development", "mode": "name" }, "text": "🚀 *SCALE OPPORTUNITY DETECTED*\n\n*Campaign:* {{ $json.campaignName }}\n*Performance Score:* {{ $json.performanceScore }}/100\n*Tier:* {{ $json.performanceTier }}\n\n*Key Metrics:*\n• Conversions: {{ $json.metrics.conversions }}\n• Conversion Rate: {{ $json.metrics.conversionRate }}%\n• Cost/Conversion: ${{ $json.metrics.costPerConversion }}\n• CTR: {{ $json.metrics.ctr }}%\n• Total Spend: ${{ $json.metrics.cost }}\n\n*Performance Insights:*\n{{ $json.insights.join('\\n') }}\n\n*💡 Recommendations:*\n{{ $json.recommendations.join('\\n') }}\n\n_Action: Consider scaling this campaign!_", "otherOptions": {} }, "id": "bc0149f9-c508-472d-a336-035787266d67", "name": "Alert: Scale Opportunity", "type": "n8n-nodes-base.slack", "position": [ 432, 336 ], "webhookId": "fbe05af4-ac9e-4962-a34a-31f8a88de6b5", "typeVersion": 2.1, "credentials": { "slackApi": { "id": "ZigJUpZD46e0Rnkx", "name": "Slack account" } } }, { "parameters": { "jsCode": "// Generate detailed action plan based on performance\nconst items = $input.all();\nconst actionPlanItems = [];\n\nfor (const item of items) {\n const data = item.json;\n const tier = data.performanceTier || 'Fair';\n const campaignName = data.campaignName || 'Campaign';\n const alertLevel = data.alertLevel || 'normal';\n \n let emailSubject = '';\n let emailBody = '';\n let priority = 'Medium';\n \n if (tier === 'Excellent' || tier === 'Good') {\n priority = 'High';\n emailSubject = `✅ ${campaignName}: Scaling Opportunity Detected`;\n emailBody = `Hi PPC Team,\n\nGreat news! Your campaign \"${campaignName}\" is performing exceptionally well.\n\n📊 PERFORMANCE SUMMARY\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\nPerformance Score: ${data.performanceScore}/100\nPerformance Tier: ${tier}\nDaily Spend: $${data.metrics.cost}\nConversions: ${data.metrics.conversions}\nConversion Rate: ${data.metrics.conversionRate}%\nCost per Conversion: $${data.metrics.costPerConversion}\n\n💡 KEY INSIGHTS\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n${data.insights.map((insight, i) => `${i + 1}. ${insight}`).join('\\n')}\n\n🎯 RECOMMENDED ACTIONS\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n${data.recommendations.map((rec, i) => `${i + 1}. ${rec}`).join('\\n')}\n\n📈 SCALING STRATEGY\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n• Increase daily budget by 20-30%\n• Monitor performance closely for next 3-5 days\n• If metrics hold, continue scaling gradually\n• Consider duplicating successful ad groups\n• Test expansion to similar audiences\n\nThis campaign is ready to scale. Let's capitalize on this momentum!\n\nBest,\nAutomated PPC Intelligence System`;\n } else if (alertLevel === 'critical' || alertLevel === 'warning') {\n priority = 'Urgent';\n emailSubject = `⚠️ ${campaignName}: Performance Issues Detected`;\n emailBody = `Hi PPC Team,\n\n⚠️ ATTENTION REQUIRED\n\nYour campaign \"${campaignName}\" requires immediate attention due to performance concerns.\n\n📊 PERFORMANCE SUMMARY\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\nPerformance Score: ${data.performanceScore}/100\nPerformance Tier: ${tier}\nAlert Level: ${alertLevel.toUpperCase()}\nDaily Spend: $${data.metrics.cost}\nConversions: ${data.metrics.conversions}\nConversion Rate: ${data.metrics.conversionRate}%\nCost per Conversion: $${data.metrics.costPerConversion}\n\n⚠️ IDENTIFIED ISSUES\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n${data.insights.map((insight, i) => `${i + 1}. ${insight}`).join('\\n')}\n\n🔧 REQUIRED ACTIONS\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n${data.recommendations.map((rec, i) => `${i + 1}. ${rec}`).join('\\n')}\n\n🚨 IMMEDIATE NEXT STEPS\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n1. Review campaign settings and targeting\n2. Analyze recent changes that may have impacted performance\n3. Check landing page experience and load times\n4. Review competitor activity\n5. Consider pausing low-performing ad groups\n6. Test new ad variations\n\nPlease address these issues within 24 hours to prevent budget waste.\n\nBest,\nAutomated PPC Intelligence System`;\n } else {\n emailSubject = `📊 ${campaignName}: Daily Performance Report`;\n emailBody = `Hi PPC Team,\n\nHere's your daily performance summary for \"${campaignName}\".\n\n📊 PERFORMANCE SUMMARY\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\nPerformance Score: ${data.performanceScore}/100\nPerformance Tier: ${tier}\nDaily Spend: $${data.metrics.cost}\nConversions: ${data.metrics.conversions}\nConversion Rate: ${data.metrics.conversionRate}%\nCost per Conversion: $${data.metrics.costPerConversion}\n\n💡 INSIGHTS\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n${data.insights.map((insight, i) => `${i + 1}. ${insight}`).join('\\n')}\n\n📋 RECOMMENDATIONS\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n${data.recommendations.map((rec, i) => `${i + 1}. ${rec}`).join('\\n')}\n\nContinue monitoring and optimizing for best results.\n\nBest,\nAutomated PPC Intelligence System`;\n }\n \n actionPlanItems.push({\n json: {\n ...data,\n emailSubject: emailSubject,\n emailBody: emailBody,\n priority: priority,\n actionRequired: alertLevel === 'critical' || alertLevel === 'warning',\n scaleRecommended: tier === 'Excellent' || tier === 'Good'\n }\n });\n}\n\nreturn actionPlanItems;" }, "id": "b0976ee8-3cec-4048-a796-b315339bdda9", "name": "Generate Action Plan", "type": "n8n-nodes-base.code", "position": [ 432, 672 ], "typeVersion": 2 }, { "parameters": { "fromEmail": "ppc-alerts@yourcompany.com", "toEmail": "ppc-team@yourcompany.com", "subject": "={{ $json.emailSubject }}", "options": { "allowUnauthorizedCerts": false, "replyTo": "ppc-manager@yourcompany.com" } }, "id": "1d9f477d-1069-4ed9-8306-7eba1352d724", "name": "Email Performance Report", "type": "n8n-nodes-base.emailSend", "position": [ 656, 672 ], "webhookId": "4575a129-b422-436d-834a-fbfc5c836b8e", "typeVersion": 2.1 }, { "parameters": { "select": "channel", "channelId": { "__rl": true, "value": "#ai-system-development", "mode": "name" }, "text": "⚠️ *PERFORMANCE ALERT*\n\n*Campaign:* {{ $json.campaignName }}\n*Alert Level:* {{ $json.alertLevel }}\n*Performance Score:* {{ $json.performanceScore }}/100\n*Tier:* {{ $json.performanceTier }}\n\n*Current Metrics:*\n• Cost: ${{ $json.metrics.cost }}\n• Conversions: {{ $json.metrics.conversions }}\n• Cost/Conversion: ${{ $json.metrics.costPerConversion }}\n• Conversion Rate: {{ $json.metrics.conversionRate }}%\n\n*⚠️ Issues Identified:*\n{{ $json.insights.join('\\n') }}\n\n_Action Required: Review and optimize within 24 hours_", "otherOptions": {} }, "id": "02a4f4aa-35cd-41c2-8880-a1f2d7fb7e6c", "name": "Alert: Issues Detected", "type": "n8n-nodes-base.slack", "position": [ 432, 1056 ], "webhookId": "04c923f7-6530-484c-8f36-248a538678de", "typeVersion": 2.1, "credentials": { "slackApi": { "id": "ZigJUpZD46e0Rnkx", "name": "Slack account" } } }, { "parameters": { "assignments": { "assignments": [ { "id": "total-campaigns", "name": "totalCampaigns", "type": "number", "value": "={{ $input.all().length }}" }, { "id": "excellent-count", "name": "excellentCampaigns", "type": "number", "value": "={{ $input.all().filter(item => item.json.performanceTier === 'Excellent').length }}" }, { "id": "good-count", "name": "goodCampaigns", "type": "number", "value": "={{ $input.all().filter(item => item.json.performanceTier === 'Good').length }}" }, { "id": "fair-count", "name": "fairCampaigns", "type": "number", "value": "={{ $input.all().filter(item => item.json.performanceTier === 'Fair').length }}" }, { "id": "under-count", "name": "underperformingCampaigns", "type": "number", "value": "={{ $input.all().filter(item => item.json.performanceTier === 'Underperforming').length }}" }, { "id": "total-spend", "name": "totalSpend", "type": "string", "value": "=${{ $input.all().reduce((sum, item) => sum + parseFloat(item.json.metrics.cost || 0), 0).toFixed(2) }}" }, { "id": "total-conversions", "name": "totalConversions", "type": "number", "value": "={{ $input.all().reduce((sum, item) => sum + parseInt(item.json.metrics.conversions || 0), 0) }}" }, { "id": "summary-text", "name": "dailySummary", "type": "string", "value": "📊 Daily PPC Performance Summary\n\n{{ $('Generate Daily Summary').item.json.totalCampaigns }} campaigns analyzed:\n• {{ $('Generate Daily Summary').item.json.excellentCampaigns }} Excellent 🚀\n• {{ $('Generate Daily Summary').item.json.goodCampaigns }} Good ✅\n• {{ $('Generate Daily Summary').item.json.fairCampaigns }} Fair ⚠️\n• {{ $('Generate Daily Summary').item.json.underperformingCampaigns }} Underperforming 🔴\n\nTotal Spend: ${{ $('Generate Daily Summary').item.json.totalSpend }}\nTotal Conversions: {{ $('Generate Daily Summary').item.json.totalConversions }}" } ] }, "options": {} }, "id": "81f68764-3eeb-4532-bf57-7b08d7cd5cea", "name": "Generate Daily Summary", "type": "n8n-nodes-base.set", "position": [ 880, 576 ], "typeVersion": 3.3 }, { "parameters": { "content": "# 📊 PPC Campaign Intelligence System\n\nAutomatically monitors Google Ads campaigns daily, analyzes performance with AI scoring, and alerts your team about scaling opportunities or issues requiring attention.\n\n**AI Analysis:** Evaluates CTR, conversion rate, cost efficiency, and traffic volume to assign performance scores (0-100).\n\n**Setup:**\n- Connect Google Ads, Sheets, Slack, SMTP\n- Update spreadsheet IDs and Slack channels\n- Customize scoring thresholds in code\n- Adjust email recipients\n\n**Benefits:**\n- Never miss scaling opportunities\n- Catch underperforming campaigns early\n- Data-driven optimization decisions\n- Automated daily reporting\n\n*Built by Daniel Shashko*\n[Connect on LinkedIn](https://www.linkedin.com/in/daniel-shashko/)", "height": 572, "width": 500 }, "id": "02d50948-16cd-4bb9-bea5-2ca79312224d", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -1056, 496 ], "typeVersion": 1 }, { "parameters": { "content": "Triggers workflow automatically every morning at 9 AM daily", "height": 96, "width": 160 }, "id": "65f1d574-76db-4ec4-a62a-321959a33ca0", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -496, 544 ], "typeVersion": 1 }, { "parameters": { "content": "Pulls all campaign metrics from Google Ads API", "height": 96, "width": 160 }, "id": "55b5db99-dd48-4db8-9eec-61b3b83551b5", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -272, 544 ], "typeVersion": 1 }, { "parameters": { "content": "Scores campaigns based on CTR, conversions, and cost efficiency\n", "height": 96, "width": 160 }, "id": "ca2e3673-b621-40b3-a12b-361b6a3a1075", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ -48, 544 ], "typeVersion": 1 }, { "parameters": { "content": "Splits campaigns into high-performers versus worst ones", "height": 96, "width": 160 }, "id": "43a1749f-e95e-442d-9f11-fecc8c72ea7a", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ 176, 544 ], "typeVersion": 1 }, { "parameters": { "content": "Records all campaign data to historical log spreadsheet\n", "height": 96, "width": 160 }, "id": "db2ddff9-b4ba-4991-be1b-a076ecdd503b", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 240, 864 ], "typeVersion": 1 }, { "parameters": { "content": "Logs daily metrics to Google Sheets performance tracking tab", "height": 96, "width": 160 }, "id": "eab6b993-992c-4ee4-b263-709c6540b416", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [ 624, 352 ], "typeVersion": 1 }, { "parameters": { "content": "Sends Slack notification for excellent performing campaigns ready to scale", "height": 128, "width": 160 }, "id": "b058f1e8-61ec-4502-b9e7-279c49a3a7e7", "name": "Sticky Note7", "type": "n8n-nodes-base.stickyNote", "position": [ 224, 336 ], "typeVersion": 1 }, { "parameters": { "content": "Sends Slack warning for underperforming campaigns requiring immediate action\n", "height": 128, "width": 160 }, "id": "72b846aa-6d65-4058-878d-ebea6ca2f9b2", "name": "Sticky Note8", "type": "n8n-nodes-base.stickyNote", "position": [ 240, 1056 ], "typeVersion": 1 }, { "parameters": { "content": "Creates customized email reports based on campaign performance tier\n", "height": 96, "width": 160 }, "id": "fdf8103e-1bf7-47d1-b34f-36b0f5bedad1", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [ 400, 544 ], "typeVersion": 1 }, { "parameters": { "content": "Sends personalized action plan emails to PPC team members\n", "height": 96, "width": 160 }, "id": "0bbeb7d1-e242-4a07-80ce-587abf0801c5", "name": "Sticky Note10", "type": "n8n-nodes-base.stickyNote", "position": [ 624, 848 ], "typeVersion": 1 }, { "parameters": { "content": "Calculates total spend, conversions, and campaign distribution summary", "height": 96, "width": 160 }, "id": "75b1d17d-9ea4-4681-8397-0528b0282d14", "name": "Sticky Note11", "type": "n8n-nodes-base.stickyNote", "position": [ 848, 448 ], "typeVersion": 1 } ], "connections": { "Generate Action Plan": { "main": [ [ { "node": "Email Performance Report", "type": "main", "index": 0 } ] ] }, "Route by Performance": { "main": [ [ { "node": "Update Campaign Dashboard", "type": "main", "index": 0 }, { "node": "Log All Campaigns", "type": "main", "index": 0 }, { "node": "Alert: Scale Opportunity", "type": "main", "index": 0 }, { "node": "Generate Action Plan", "type": "main", "index": 0 } ], [ { "node": "Update Campaign Dashboard", "type": "main", "index": 0 }, { "node": "Log All Campaigns", "type": "main", "index": 0 }, { "node": "Alert: Issues Detected", "type": "main", "index": 0 }, { "node": "Generate Action Plan", "type": "main", "index": 0 } ] ] }, "Schedule Daily Check": { "main": [ [ { "node": "Fetch Google Ads Data", "type": "main", "index": 0 } ] ] }, "Fetch Google Ads Data": { "main": [ [ { "node": "AI Performance Analysis", "type": "main", "index": 0 } ] ] }, "AI Performance Analysis": { "main": [ [ { "node": "Route by Performance", "type": "main", "index": 0 } ] ] }, "Email Performance Report": { "main": [ [ { "node": "Generate Daily Summary", "type": "main", "index": 0 } ] ] }, "Update Campaign Dashboard": { "main": [ [ { "node": "Generate Daily Summary", "type": "main", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1" }, "staticData": null, "pinData": {}, "versionId": "c46c96d7-7898-4720-bed6-d5f1831405fb", "meta": { "templateCredsSetupCompleted": true } }, { "id": "iyQnzDtjJ0L1t3yh", "name": "RAG Pipeline", "active": 0, "nodes": [ { "parameters": { "formTitle": "Add your file here", "formFields": { "values": [ { "fieldLabel": "File", "fieldType": "file", "acceptFileTypes": ".pdf", "requiredField": true } ] }, "options": {} }, "id": "c66dcd42-696e-4b1b-8d8d-1bac2ba35cad", "name": "On form submission", "type": "n8n-nodes-base.formTrigger", "position": [ 144, 112 ], "webhookId": "4e1e20d4-f759-42c8-8439-87b93f43aa7c", "typeVersion": 2.2 }, { "parameters": { "mode": "insert", "qdrantCollection": { "__rl": true, "mode": "id", "value": "rag_collection" }, "options": {} }, "id": "3849ea49-ae08-44c3-910b-c433b9210c62", "name": "Qdrant Vector Store", "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant", "position": [ 368, 112 ], "typeVersion": 1.2, "credentials": { "qdrantApi": { "id": "jgaUieD6O8ZYXJiu", "name": "QdrantApi account" } } }, { "parameters": { "model": "llama3.1:latest" }, "id": "bec6f2bc-d61b-4b9b-b6cd-149ac4764b30", "name": "Embeddings Ollama", "type": "@n8n/n8n-nodes-langchain.embeddingsOllama", "position": [ 208, 320 ], "typeVersion": 1, "credentials": { "ollamaApi": { "id": "yShAwFAVyxsRy7rz", "name": "Ollama account" } } }, { "parameters": { "dataType": "binary", "options": {} }, "id": "4578cd75-347a-4586-8c34-6727f9d0e6cb", "name": "Default Data Loader", "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader", "position": [ 512, 320 ], "typeVersion": 1 }, { "parameters": { "chunkSize": 200, "chunkOverlap": 50, "options": {} }, "id": "5205257a-2550-41d3-9719-f1b9870e547d", "name": "Recursive Character Text Splitter", "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter", "position": [ 608, 544 ], "typeVersion": 1 }, { "parameters": { "content": "## Data Ingestion\n**Add data to the semantic database", "height": 700, "width": 840, "color": 3 }, "id": "f8ea7e2f-aa6e-4c49-9499-c6720cff4c99", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 0, 0 ], "typeVersion": 1 }, { "parameters": { "options": {} }, "id": "9932f6d0-51ee-4ad5-9299-fe5b1fb8759d", "name": "When chat message received", "type": "@n8n/n8n-nodes-langchain.chatTrigger", "position": [ 1088, 80 ], "webhookId": "5e56a263-3a40-44bd-bc9d-1cfb3bc2a87d", "typeVersion": 1.1 }, { "parameters": { "options": { "systemMessage": "You are a helpful assistant. You have access to a tool to retrieve data from a semantic database to answer questions. Always provide arguments when you execute the tool" } }, "id": "03476d11-ecf3-4f3a-a378-4b20c181d500", "name": "AI Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 1360, 80 ], "typeVersion": 2 }, { "parameters": {}, "id": "31c92f00-cd1e-4d1d-b2a2-fb13257dae3e", "name": "Simple Memory", "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "position": [ 1408, 320 ], "typeVersion": 1.3 }, { "parameters": { "mode": "retrieve-as-tool", "toolName": "retriever", "toolDescription": "Retrieve data from a semantic database to answer questions", "qdrantCollection": { "__rl": true, "mode": "id", "value": "rag_collection" }, "options": {} }, "id": "df417597-8adf-4b45-9347-3ed66ea4a2b5", "name": "Qdrant Vector Store1", "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant", "position": [ 1680, 352 ], "typeVersion": 1.2, "credentials": { "qdrantApi": { "id": "jgaUieD6O8ZYXJiu", "name": "QdrantApi account" } } }, { "parameters": { "model": "llama3.1:latest" }, "id": "0d015f5a-26e1-43bd-9126-90c20f3864d4", "name": "Embeddings Ollama1", "type": "@n8n/n8n-nodes-langchain.embeddingsOllama", "position": [ 1600, 544 ], "typeVersion": 1, "credentials": { "ollamaApi": { "id": "yShAwFAVyxsRy7rz", "name": "Ollama account" } } }, { "parameters": { "content": "## RAG Chatbot\n**Chat with your data", "height": 700, "width": 1200, "color": 4 }, "id": "49a86d6a-0084-43fd-af24-6c3f318e1836", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 880, 0 ], "typeVersion": 1 }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "typeVersion": 1, "position": [ 1248, 304 ], "id": "19ac4bd6-20dd-4fae-a0e3-5ac2bd875229", "name": "Google Gemini Chat Model", "credentials": { "googlePalmApi": { "id": "xTC5bggV3FN3kz5r", "name": "Google Gemini(PaLM) Api account" } } } ], "connections": { "Simple Memory": { "ai_memory": [ [ { "node": "AI Agent", "type": "ai_memory", "index": 0 } ] ] }, "Embeddings Ollama": { "ai_embedding": [ [ { "node": "Qdrant Vector Store", "type": "ai_embedding", "index": 0 } ] ] }, "Embeddings Ollama1": { "ai_embedding": [ [ { "node": "Qdrant Vector Store1", "type": "ai_embedding", "index": 0 } ] ] }, "On form submission": { "main": [ [ { "node": "Qdrant Vector Store", "type": "main", "index": 0 } ] ] }, "Default Data Loader": { "ai_document": [ [ { "node": "Qdrant Vector Store", "type": "ai_document", "index": 0 } ] ] }, "Qdrant Vector Store1": { "ai_tool": [ [ { "node": "AI Agent", "type": "ai_tool", "index": 0 } ] ] }, "When chat message received": { "main": [ [ { "node": "AI Agent", "type": "main", "index": 0 } ] ] }, "Recursive Character Text Splitter": { "ai_textSplitter": [ [ { "node": "Default Data Loader", "type": "ai_textSplitter", "index": 0 } ] ] }, "Google Gemini Chat Model": { "ai_languageModel": [ [ { "node": "AI Agent", "type": "ai_languageModel", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1" }, "staticData": null, "pinData": {}, "versionId": "42756aae-f93d-43cc-bb30-dd5da10987bb", "meta": { "templateCredsSetupCompleted": true } }, { "id": "bRf022F8TZcId5q9", "name": "Lead Magnet Agent - Trigify", "active": 0, "nodes": [ { "parameters": { "promptType": "define", "text": "={{ $json.chatInput }}", "hasOutputParser": true, "options": { "systemMessage": "=# AgentInstructions\n\n## Role\n\n### Name\nSearch Query Refiner Agent\n\n### Description\nThis agent refines a user's topic into five targeted, high-quality search queries for deep research. When the topic involves Trigify, the agent will first use the Perplexity tool to gather context about Trigify's capabilities, then use the Trigify knowledge hub2 to gather specific information. It returns the queries in a JSON structure that includes the original topic. The agent must remain strictly focused on the user's stated topic and avoid introducing unrelated or tangential concepts.\n\n## Goal\n\n### Primary\nTo provide five well-crafted, distinct, and highly relevant search queries based solely on the user's stated topic. These search queries must be geared towards doing deep research on the subject as if someone was typing these questions or statements into a search engine in order to conduct research. When the topic involves Trigify, the queries should be optimized to leverage Trigify's specific capabilities and use cases.\n\n## Instructions\n\n1. **Analyze User Input**:\n - Identify the exact concepts or keywords in the user's topic\n - Determine if the topic mentions or relates to Trigify\n - Do NOT introduce new or tangential themes unless explicitly included in the user's topic\n\n2. **For Trigify-Related Topics**:\n - First call the Perplexity tool to gather general information about what Trigify does, its features, and typical use cases\n - Then call the Trigify knowledge hub2 to gather specific information about Trigify's capabilities relevant to the user's topic\n - Use this gathered information to craft more targeted and effective queries\n\n3. **Maintain Topic Focus**:\n - Avoid generalizing or substituting terms that alter the user's focus\n - If the user specifically mentions certain aspects of Trigify (e.g., \"booking meetings\"), keep that exact focus\n\n4. **Generate Queries**:\n - Create exactly five unique search queries\n - Each query should include:\n - The main keywords from the user's input\n - Minor variations or synonyms that preserve the same narrow focus\n - For Trigify topics: specific features, methodologies, or use cases discovered from the knowledge tools\n\n5. **Output Format**:\n - Return the final result as JSON:\n ```json\n {\n \"topic\": \"USER_INPUT_TOPIC\",\n \"searchQueries\": [\n \"QUERY_1\",\n \"QUERY_2\",\n \"QUERY_3\",\n \"QUERY_4\",\n \"QUERY_5\"\n ]\n }\n ```\n\n6. **Respect Research Scope**:\n - Stay within the user's desired research scope\n - For non-Trigify topics, avoid adding any reference to Trigify\n - For Trigify topics, ensure queries are relevant to creating effective lead magnets about Trigify's capabilities\n\n## Examples\n\n### Example 1 (Trigify-related)\n\n#### UserInput\nBuild a Lead Magnet on how you can use Trigify to book 30+ meetings per week\n\n#### Agent Process\n1. Identifies this is a Trigify-related topic\n2. Calls Perplexity tool to understand Trigify's basic functionality\n3. Calls Trigify knowledge hub2 to gather specific information about meeting booking features\n4. Crafts specialized queries focused on Trigify's meeting booking capabilities\n\n#### AgentOutput\n```json\n{\n \"topic\": \"Build a Lead Magnet on how you can use Trigify to book 30+ meetings per week\",\n \"searchQueries\": [\n \"Trigify outreach automation strategies for booking 30+ weekly meetings\",\n \"Trigify sequencing templates for high-volume meeting conversion\",\n \"Optimizing Trigify campaigns for maximum meeting bookings\",\n \"Trigify prospect targeting techniques for sales meeting generation\",\n \"Trigify analytics to improve meeting booking rates\"\n ]\n}\n```\n\n### Example 2 (Non-Trigify)\n\n#### UserInput\nquantum computing hardware\n\n#### AgentOutput\n```json\n{\n \"topic\": \"quantum computing hardware\",\n \"searchQueries\": [\n \"quantum computing hardware architecture\",\n \"latest developments in quantum processors\",\n \"superconducting qubits hardware advancements\",\n \"ion trap quantum computing devices\",\n \"scalability challenges quantum hardware research\"\n ]\n}\n```\n\n### Example 3 (Trigify-related)\n\n#### UserInput\nusing Trigify for LinkedIn outreach\n\n#### Agent Process\n1. Identifies this is a Trigify-related topic\n2. Uses knowledge tools to understand Trigify's LinkedIn capabilities\n3. Crafts specialized queries focused on Trigify's LinkedIn features\n\n#### AgentOutput\n```json\n{\n \"topic\": \"using Trigify for LinkedIn outreach\",\n \"searchQueries\": [\n \"Trigify LinkedIn connection request automation best practices\",\n \"Trigify personalization techniques for LinkedIn messaging\",\n \"Trigify campaign analytics for LinkedIn outreach optimization\",\n \"Trigify LinkedIn profile targeting strategies\",\n \"Comparing Trigify LinkedIn outreach performance to manual methods\"\n ]\n}\n```" } }, "id": "e5035f68-2371-4333-b335-d93596cdaee4", "name": "Query Builder", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 0, 0 ], "typeVersion": 1.7 }, { "parameters": { "jsonSchemaExample": "{\n \"topic\": \"USER_INPUT_TOPIC\",\n \"searchQueries\": [\n \"QUERY_1\",\n \"QUERY_2\",\n \"QUERY_3\",\n \"QUERY_4\",\n \"QUERY_5\"\n ]\n}" }, "id": "ef7f60f2-65c5-4fb1-b9bb-6e9d70f3c1fd", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 304, 160 ], "typeVersion": 1.2 }, { "parameters": { "promptType": "define", "text": "=Research the following topics:\n{{ $json.output.searchQueries[0] }}\n{{ $json.output.searchQueries[1] }}\n{{ $json.output.searchQueries[2] }}\n{{ $json.output.searchQueries[3] }}\n{{ $json.output.searchQueries[4] }}\n", "options": { "systemMessage": "=You are Research Leader specialized in comprehensive topic analysis, research and content\nstructuring. Your task is to create an enriched, research-backed table of contents for a given topic.\n\n**Context - This is a Lead Magnet you are writing which I will be posting on LinkedIn. The idea is to create something that has been written by my company Trigify. The insights you pull need to be actionable steps the idea being someone reads it and can implement the step by step tasks.**\n\nFollow these steps:\n1. Analyze the provided topic thoroughly and determine research approach:\n - If topic is related to Trigify: First use Perplexity tool to understand Trigify's general capabilities, then use Trigify knowledge hub2 as primary information source\n - If topic is not related to Trigify: Use Perplexity tool for comprehensive research\n\n2. Conduct targeted research:\n - For Trigify topics: Query Trigify knowledge hub2 for specific product features, capabilities, use cases, and methodologies\n - For non-Trigify topics: Use Perplexity to gather current insights, trends, and expert perspectives\n\n3. Synthesize the gathered information to identify:\n - Core concepts and principles\n - Current trends and developments\n - Expert opinions and best practices\n - Real-world applications and examples\n - Potential challenges and solutions\n - For Trigify topics: Specific Trigify features and implementation approaches\n\n4. Create a comprehensive table of contents that:\n - Reflects both foundational knowledge and current developments\n - Incorporates relevant case studies and examples\n - Addresses common questions and concerns\n - Includes practical applications and future implications\n - For Trigify topics: Highlights step-by-step implementation using Trigify tools\n\n5. Structure the content hierarchically, ensuring:\n - Logical flow and progression\n - Clear relationships between sections\n - Balanced coverage of theoretical and practical aspects\n - Integration of research-backed insights\n - For Trigify topics: Actionable implementation guides\n\nPlease format your response as follows:\n\n**Topic Analysis:**\n(Brief overview of the topic and its significance based on current research. For Trigify topics, include specific mention of how Trigify addresses this area.)\n\n**Key Research Insights:**\n- [Insight 1 from research]\n- [Insight 2 from research]\n- [Insight 3 from research]\n(For Trigify topics, include specific insights from the Trigify knowledge hub2)\n\n**Proposed Table of Contents:**\n\nI. **Introduction**\n A. Topic Overview and Current Relevance \n B. Key Trends and Developments \n C. Why This Matters Now \n\nII. **Background and Context** \n A. Historical Development \n B. Fundamental Concepts \n C. Current State of the Field \n\nIII. **[Main Theme 1 from Research]** \n A. [Key Finding/Aspect] \n B. [Expert Perspectives] \n C. [Real-world Applications] \n\nIV. **[Main Theme 2 from Research]** \n A. [Key Finding/Aspect] \n B. [Case Studies] \n C. [Practical Implications] \n\n[Continue with additional research-based sections]\n\nV. **Future Perspectives** \n A. Emerging Trends \n B. Potential Developments \n C. Recommendations \n\nVI. **Conclusion** \n A. Summary of Key Insights \n B. Actionable Takeaways \n C. Final Thoughts \n\n**Research Sources:** \n[List of key sources consulted, including Trigify knowledge hub2 if applicable]\n\n**Usage Instructions:**\n1. Provide a specific topic you want to analyze.\n2. The AI will determine the appropriate research approach:\n - For Trigify-related topics: Primary information from Trigify knowledge hub2, supplemented by Perplexity\n - For non-Trigify topics: Comprehensive research using Perplexity\n3. Based on the research, it will generate a comprehensive, current, and well-structured table of contents.\n4. Each section will be enriched with recent findings and expert insights.\n5. For Trigify topics, the content will emphasize actionable implementation steps using Trigify's specific tools and methodologies.\n6. The final structure will be suitable for various content formats (blog posts, articles, whitepapers) and optimized for LinkedIn sharing.\n\nToday's date is {{ $now }}" } }, "id": "7a6e652c-2b40-41fc-80eb-e6fbc417a3f5", "name": "Research Leader", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 400, 0 ], "typeVersion": 1.7 }, { "parameters": { "name": "Perplexity_tool", "description": "Call this tool to run your research.", "workflowId": { "__rl": true, "mode": "list", "value": "[REDACTED_WORKFLOW_ID]", "cachedResultName": "Trigify Agents — My Sub-Workflow 2" }, "workflowInputs": { "value": {}, "schema": [], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false } }, "id": "2838edc9-f879-4be6-b899-3facfd9206f5", "name": "Perplexity tool", "type": "@n8n/n8n-nodes-langchain.toolWorkflow", "position": [ 960, 704 ], "typeVersion": 2 }, { "parameters": { "promptType": "define", "text": "=Write the title, the subtitle, the chapters details, the introduction, the conclusions.\nPlease use this set of topics to create chapters: \n{{ $json.output }}\n\n### Research Process\n1. Analyze the provided topics thoroughly and determine research approach:\n - If topics are related to Trigify: First use Perplexity tool to understand Trigify's general capabilities, then use Trigify knowledge hub2 as primary information source\n - If topics are not related to Trigify: Use Perplexity tool for comprehensive research\n\n2. Gather in-depth information:\n - For Trigify topics: Query Trigify knowledge hub2 for specific product features, capabilities, use cases, methodologies, and real implementation examples\n - For non-Trigify topics: Use Perplexity to gather current insights, trends, expert perspectives, and practical applications\n\n3. Ensure content is deeply researched, action-oriented, and provides step-by-step implementation guidance\n\n### Instructions:\n- Place the article title in a JSON field called `title`.\n- Place the subtitle in a JSON field called `subtitle`.\n- Place the introduction in a JSON field called `introduction`.\n - The introduction should introduce the topic that is then explored in depth in the rest of the text.\n - The introduction should be around 100 words.\n - For Trigify topics: Highlight Trigify's unique approach to solving the problem\n- Place the conclusions in a JSON field called `conclusions`.\n - The conclusions should be around 100 words.\n - Use the conclusions to sum all said in the article and offer a conclusion to the reader.\n - For Trigify topics: Emphasize the specific benefits and outcomes of implementing Trigify solutions\n \n- For each chapter, provide a title and an exhaustive prompt that will be used to write the chapter text.\n - Place the chapters in an array field called `chapters`.\n - For each chapter, provide the fields `\"title\"` and `\"prompt\"`.\n - The chapters should follow a logical flow and not repeat the same concepts.\n - The chapters should be one related to the other and not isolated blocks of text.\n - The text should be fluent and follow a linear logic.\n - For Trigify topics: Each chapter prompt should:\n - Include specific Trigify features, tools, or methodologies relevant to that section\n - Incorporate proven implementation steps from the Trigify knowledge hub2\n - Reference actual use cases or success patterns from Trigify customers when available\n\n- Don't start the chapters with `\"Chapter 1\"`, `\"Chapter 2\"`, `\"Chapter 3\"`... just write the title of the chapter.\n- For the title and the chapters' titles, don't use colons `(:)`.\n- Please use this text format.\n- Please write in a style that is informative and instructional so the user can follow your advice and action what you're saying, they need step by step breakdowns on how to execute on what you're saying.\n- Go deep into the topic you treat, don't just throw some superficial info.\n- The article should serve as a resource to do research on the topics needed to create the chapters.\n- Ensure each chapter prompt guides the creation of content that contains:\n - Clear, numbered step-by-step instructions where applicable\n - Specific implementation details and technical guidance\n - Common pitfalls to avoid and how to overcome them\n - Metrics for measuring success\n - For Trigify topics: Specific Trigify configurations, settings, or workflows\n\n**Today's date is {{ $now }}**\n**Context - This is a Lead Magnet you are writing which I will be posting on LinkedIn. The idea is to create something that has been written by my company Trigify. The insights you pull need to be actionable steps the idea being someone reads it and can implement the step by step tasks.**", "hasOutputParser": true, "options": {} }, "id": "b8624cd0-86cb-4ea0-a063-dcbe297baac0", "name": "Project Planner", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 768, 0 ], "typeVersion": 1.7 }, { "parameters": { "jsonSchemaExample": "{\n \"title\": \"Dynamic AI-Generated Content Example\",\n \"subtitle\": \"A Flexible JSON Structure for AI Content Creation\",\n \"introduction\": \"This JSON example demonstrates a structured yet flexible approach for AI-generated content. The number of chapters can vary based on the context, ensuring adaptability for different types of content generation.\",\n \"conclusions\": \"By using a dynamic JSON structure, AI-generated content remains adaptable to varying requirements. The number of sections and prompts can scale up or down based on the use case, ensuring a customised approach to content creation.\",\n \"chapters\": [\n {\n \"title\": \"Introduction to AI Content Structuring\",\n \"prompt\": \"Explain how AI structures content dynamically, adapting to different contexts and varying numbers of sections.\"\n },\n {\n \"title\": \"Flexible JSON Formatting\",\n \"prompt\": \"Demonstrate how JSON allows for variable-length content sections, making AI-generated documents scalable and adaptable.\"\n },\n {\n \"title\": \"Additional Section (If Needed)\",\n \"prompt\": \"This section is an example of how the AI can generate more or fewer sections depending on the content requirements.\"\n }\n ]\n}" }, "id": "ea2b1ac6-a067-45ca-a8aa-5a4d71deb0d1", "name": "Structured Output Parser1", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 1072, 240 ], "typeVersion": 1.2 }, { "parameters": { "fieldToSplitOut": "output.chapters", "options": {} }, "id": "71231911-deae-4c87-98d3-d5b6ac899d41", "name": "Split Out", "type": "n8n-nodes-base.splitOut", "position": [ 1120, 0 ], "typeVersion": 1 }, { "parameters": { "promptType": "define", "text": "=Write a chapter for this article -> {{ $('Project Planner').item.json.output.title }}\n\nwrite a chapter for -> {{ $json.title }} that {{ $json.prompt }}\n\nMake sure to use the Trigify knowledge hub.", "options": { "systemMessage": "=You are a dedicated Research Assistant AI agent, working as part of a research team under the guidance of a Research Leader and Project Planner. Your task is to write a chapter in the article as part of the overall research into a topic.\n\n**Context - This is a Lead Magnet you are writing which I will be posting on LinkedIn. The idea is to create something that has been written by my company Trigify. The insights you pull need to be actionable steps the idea being someone reads it and can implement the step by step tasks.**\n\nGuidelines:\n- Just return the plain text for each chapter (no JSON structure).\n- Use the perplexity_ai_search tool to research the topic in the chapter.\n- Use html format for output\n- Don't add internal titles or headings.\n- The length of each chapter should be around 120 words\nwords long—go deep in the topic you treat, don't just throw some superficial info.\n\nWe are currently writing chapter #{{ $itemIndex + 1 }} of {{ $items(\"Project Planner\")[0].json.output.chapters.length }}.\n\nPrevious chapter:\n{{ $itemIndex > 0 ? $items(\"Project Planner\")[0].json.output.chapters[$itemIndex - 1].title : \"None\" }}\n\nNext chapter:\n{{ $itemIndex < $items(\"Project Planner\")[0].json.output.chapters.length - 1 ? $items(\"Project Planner\")[0].json.output.chapters[$itemIndex + 1].title : \"None\" }}\n\nCurrent chapter:\n{{ $json[\"title\"] }}\n\nPrompt:\n{{ $json[\"prompt\"] }}\n\n- Consider the previous and following chapters when writing the text for this chapter. The text must be coherent with the previous and following chapters.\n- This chapter should not repeat the concepts already exposed in the previous chapter.\n- This chapter is part of a larger article so don't include an introduction or conclusions. This chapter should merge seamlessly with the rest of the article.\n- Please write in a style that is educational for the user so they can follow your advice step by step and action your research.\n- For Trigify topics: Reference specific Trigify functionalities, configurations, and success metrics from the Trigify knowledge hub2\n- For non-Trigify topics: Use the perplexity online tool as source of information\n\nCitation Guidelines:\n- For Trigify topics:\n - Cite information from the Trigify knowledge hub2 as: [Source: Trigify Knowledge Hub]\n - Use Perplexity for supplementary research and cite according to standard guidelines\n\n- For non-Trigify topics:\n - Use the perplexity_ai_search tool to gather information and cite sources.\n - Include citations properly as a source of information, include a hyperlinked inline citation\n - Format citations as HTML links with descriptive text:\n [Source: Publication Name]\n\nExample of proper citation format:\n- \"According to recent data [Source: McKinsey & Company]...\"\n- When directly quoting from a source, use quotation marks and include the citation\n\nFor Trigify topics, ensure the chapter includes:\n- Specific Trigify features or tools relevant to the topic\n- Step-by-step implementation guidance using Trigify\n- Real-world applications or success metrics from Trigify users\n- Technical details on configuration or setup where applicable" } }, "id": "3551c436-db17-40ef-bcba-3bcfa84a8b0e", "name": "Team of Research Assistants", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 1328, 0 ], "typeVersion": 1.7 }, { "parameters": { "mode": "combine", "combineBy": "combineByPosition", "options": {} }, "id": "63679854-1933-42eb-ace3-de337332605b", "name": "Merge", "type": "n8n-nodes-base.merge", "position": [ 1712, 0 ], "typeVersion": 3 }, { "parameters": { "jsCode": "const mergeData = $input.all().map((item) => item.json);\nconst combinedData = [];\n\nmergeData.forEach((item) => {\n combinedData.push(item.title, item.output);\n});\n\nreturn { combinedData };\n" }, "id": "d31a1c4d-378f-433a-a259-9a6fd07b2983", "name": "Code", "type": "n8n-nodes-base.code", "position": [ 1872, 0 ], "typeVersion": 2 }, { "parameters": { "promptType": "define", "text": "=Edit this text into a nice article: {{ $json.combinedData }}\n\n**Context - This is a Lead Magnet you are writing which I will be posting on LinkedIn. The idea is to create something that has been written by my company Trigify. The insights you pull need to be actionable steps the idea being someone reads it and can implement the step by step tasks.**\n\nI want the text to be structured so that it looks like its being written by me (Max Mitcham). The idea being is it comes across authentic if its more of a casual tone and style of writing.", "hasOutputParser": true, "options": { "systemMessage": "=# Expert Editing Guidelines\n\nYou are an expert Editor specializing in refining and polishing content to ensure it meets the highest quality standards. Your role is to review and improve the written material produced by multiple writers while maintaining academic integrity and proper source attribution. Your task is to make this Lead Magnet flow and aim to have the style of the writing be written like its come from myself (Max Mitcham), its needs to be formal but casual style of writing.\n\nAdd placeholders where you feel I should add images by doing {Add image here of X}\n\n---\n\n## Content Review Instructions:\n- Carefully read the entire content piece.\n- Check for grammar, spelling, and punctuation errors.\n- Ensure consistency in tone, style, and voice throughout the piece.\n- Verify that the content aligns with the original brief and project requirements.\n- Improve sentence structure and flow for better readability.\n- Optimize headlines, subheadings, and formatting for better engagement, especially for SEO.\n- Suggest improvements or additions to enhance the overall quality of the content.\n\n---\n" } }, "id": "cf27135c-a542-4bb4-b89f-ecbe85243344", "name": "Editor", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 2048, 0 ], "typeVersion": 1.7 }, { "parameters": { "folderId": "1V_pWutQIYm0QFuUeO1RI5eYd2v_kYRaf", "title": "={{ $node[\"Project Planner\"].json[\"output\"][\"title\"] }}" }, "id": "6a6c33d1-fd62-4482-b1ff-f8fd11600422", "name": "Google Docs", "type": "n8n-nodes-base.googleDocs", "position": [ 2368, 0 ], "typeVersion": 2, "credentials": { "googleDocsOAuth2Api": { "id": "BN1fUIweWn9mWabd", "name": "Google Docs account" } } }, { "parameters": { "options": {} }, "id": "207adc95-b4a1-4c8d-952a-f5f13390aae6", "name": "When chat message received", "type": "@n8n/n8n-nodes-langchain.chatTrigger", "position": [ -208, 64 ], "webhookId": "[REDACTED_WEBHOOK_ID]", "typeVersion": 1.1 }, { "parameters": { "toolDescription": "Trigify knowledge hub.", "method": "POST", "url": "https://www.chatbase.co/api/v1/chat", "sendHeaders": true, "parametersHeaders": { "values": [ { "name": "Authorization", "valueProvider": "fieldValue", "value": "Bearer [REDACTED_API_TOKEN]" }, { "name": "Content-Type", "valueProvider": "fieldValue", "value": "application/json" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "{\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"{placeholder}\"\n }\n ],\n \"chatbotId\": \"[REDACTED_CHATBOT_ID]\",\n \"stream\": false,\n \"temperature\": 0,\n \"model\": \"claude-3-5-sonnet\"\n}" }, "id": "c02badde-719a-4462-9cc4-91bdb857559c", "name": "Trigify knowledge hub", "type": "@n8n/n8n-nodes-langchain.toolHttpRequest", "position": [ 1568, 240 ], "typeVersion": 1.1 }, { "parameters": { "model": "=claude-3-7-sonnet-20250219", "options": {} }, "id": "395a2263-9932-4d1f-afca-16b5c029f486", "name": "Anthropic Chat Model1", "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic", "position": [ 672, 688 ], "typeVersion": 1.2, "credentials": { "anthropicApi": { "id": "JpQ3sNJUz1a7dvDf", "name": "Anthropic account" } }, "disabled": true }, { "parameters": { "assignments": { "assignments": [ { "id": "ff1378ca-ad8a-4656-a82b-2c85ccfdef35", "name": "field", "type": "string", "value": "=https://docs.google.com/document/d/{{ $('Google Docs1').item.json.documentId }}" }, { "id": "11b66d56-cc3b-48ec-bee4-58f44340258d", "name": "body['First Name']", "type": "string", "value": "={{ $node[\"Webhook\"].json[\"body\"][\"First Name\"] }}" }, { "id": "03a9b312-31cb-4ec6-85a6-e75470e3392a", "name": "body['Last Name']", "type": "string", "value": "={{ $node[\"Webhook\"].json[\"body\"][\"Last Name\"] }}" }, { "id": "81f75a32-494c-4b4c-90b5-bbb0a903ae45", "name": "body.Domain", "type": "string", "value": "={{ $node[\"Webhook\"].json[\"body\"][\"Domain\"] }}" }, { "id": "c3bd15a0-d0f2-4ea6-bce4-cda3448fc112", "name": "body['Full Name']", "type": "string", "value": "={{ $node[\"Webhook\"].json[\"body\"][\"Full Name\"] }}" }, { "id": "5677ab97-6d17-4911-bebf-6582ddee31e7", "name": "body['LinkedIn Url']", "type": "string", "value": "={{ $node[\"Webhook\"].json[\"body\"][\"LinkedIn Url\"] }}" } ] }, "options": {} }, "id": "c23c168b-d464-4a07-8693-7fa2daa8140e", "name": "Share URL", "type": "n8n-nodes-base.set", "position": [ 2848, 0 ], "typeVersion": 3.4 }, { "parameters": { "operation": "share", "fileId": { "__rl": true, "mode": "id", "value": "={{ $json.documentId }}" }, "permissionsUi": { "permissionsValues": { "role": "reader", "type": "anyone" } }, "options": {} }, "id": "422d8b50-59f5-4be6-905c-592661512089", "name": "Google Drive", "type": "n8n-nodes-base.googleDrive", "position": [ 2688, 0 ], "typeVersion": 3, "credentials": { "googleDriveOAuth2Api": { "id": "ghvfZZcpO23tYvmn", "name": "Google Drive account" } } }, { "parameters": { "operation": "update", "documentURL": "={{ $json.id }}", "actionsUi": { "actionFields": [ { "action": "insert", "text": "={{ $('Editor').item.json.output }}" } ] } }, "id": "331d607f-2d04-40f1-abc4-0c79e4be1c4a", "name": "Google Docs1", "type": "n8n-nodes-base.googleDocs", "position": [ 2528, 0 ], "typeVersion": 2, "credentials": { "googleDocsOAuth2Api": { "id": "BN1fUIweWn9mWabd", "name": "Google Docs account" } } }, { "parameters": { "toolDescription": "Trigify knowledge hub.", "method": "POST", "url": "https://www.chatbase.co/api/v1/chat", "sendHeaders": true, "parametersHeaders": { "values": [ { "name": "Authorization", "valueProvider": "fieldValue", "value": "Bearer [REDACTED_API_TOKEN]" }, { "name": "Content-Type", "valueProvider": "fieldValue", "value": "application/json" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "{\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"{placeholder}\"\n }\n ],\n \"chatbotId\": \"[REDACTED_CHATBOT_ID]\",\n \"stream\": false,\n \"temperature\": 0,\n \"model\": \"claude-3-5-sonnet\"\n}" }, "id": "c7dcc2ee-1685-4ec9-9215-9c28085c00a5", "name": "Trigify knowledge hub2", "type": "@n8n/n8n-nodes-langchain.toolHttpRequest", "position": [ 1152, 688 ], "typeVersion": 1.1 }, { "parameters": { "model": "anthropic/claude-3.7-sonnet:thinking", "options": {} }, "id": "fae3c91f-03c3-430b-81f4-5306de2f98f4", "name": "OpenRouter Chat Model1", "type": 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Start by highlighting the limitations of conventional approaches: low conversion rates (under 5%), wasted resources on uninterested prospects, and lack of timing precision. Then detail the Trigify approach to signal-based prospecting that focuses on real-time intent data. Include specific statistics on how engagement-based targeting yields 5x higher reply rates compared to traditional methods. Provide step-by-step guidance on how to: \n\n1. Identify the key signals that indicate buying intent (including content engagement, competitor research, and professional transitions) \n2. Establish a signal prioritization framework based on Trigify's data on which combinations of signals correlate most strongly with buying readiness \n3. Develop a baseline measurement system to compare traditional vs. signal-based prospecting results \n4. Implement a gradual transition plan from static to dynamic prospecting \n\nExplain how Trigify's real-time monitoring capabilities enable sales teams to detect these signals as they happen, creating perfect timing for outreach. Include a case example of how a B2B company increased meeting bookings by 300% after switching to signal-based prospecting with Trigify. Conclude with practical guidance on setting realistic expectations for implementation timeframes and initial results." }, { "title": "Building Your Foundation in Trigify", "prompt": "In this chapter, provide a comprehensive guide to setting up Trigify for maximum impact. Begin with a detailed walkthrough of the initial configuration process: \n\n1. Account setup and user permissions (with screenshots of the main dashboard) \n2. Defining your Ideal Customer Profile (ICP) parameters within the Trigify system \n3. Setting up topic monitoring for your specific industry and solution areas \n4. Configuring competitor tracking to monitor engagement with rival solutions \n\nThen detail the process for integrating Trigify with existing tech stack components: \n\n1. CRM integration steps (specific instructions for Salesforce, HubSpot, and other major CRMs) \n2. Email integration for automated outreach \n3. Calendar integration for streamlined meeting booking \n4. Data enrichment tool connections (Clay, ZoomInfo, etc.) \n5. Setting up webhook connections for automated workflows \n\nProvide step-by-step instructions for establishing baseline metrics for performance tracking: \n\n1. How to document current outreach-to-meeting conversion rates \n2. Setting up A/B testing frameworks to compare traditional vs. Trigify-powered outreach \n3. Creating tracking parameters in your CRM for attribution \n4. Implementing weekly reporting cadences to measure improvement \n\nInclude troubleshooting guidance for common setup challenges and tips for optimizing each integration. Conclude with a readiness checklist to ensure all components are properly configured before moving to implementation of specific strategies." }, { "title": "Sales Trigger Automation", "prompt": "This chapter should provide detailed, actionable guidance on setting up Trigify's sales trigger automation system to capture high-intent opportunities. Begin by explaining how to configure competitor engagement monitoring: \n\n1. How to identify and add your top 5-10 competitors to the monitoring system \n2. Setting up custom tags to categorize different types of competitor engagement \n3. Creating alert thresholds based on engagement intensity and frequency \n4. Developing response templates for different competitor engagement scenarios \n\nThen detail the process for configuring role change and company transition alerts: \n\n1. Step-by-step instructions for setting up job change notifications \n2. How to filter for specific seniority levels and departments \n3. Creating custom alert rules for company growth, funding announcements, and other transition signals \n4. Developing tailored outreach sequences for each transition type \n\nProvide clear instructions for creating webhook connections for automated lead routing: \n\n1. Technical setup instructions for different webhook types \n2. Sample automation recipes for major platforms (Zapier, Make, n8n) \n3. Routing logic recommendations based on signal type and intensity \n4. QA testing procedures to ensure proper data flow \n\nExplain how to implement multi-signal tracking for comprehensive intent identification: \n\n1. Setting up point-based scoring systems for different signal combinations \n2. Creating multi-condition triggers for more precise targeting \n3. Implementing progressive engagement strategies based on signal accumulation \n4. Measuring and optimizing signal correlation with conversion rates \n\nConclude with troubleshooting tips for common automation challenges and a case study of how a B2B SaaS company achieved 28% reply rates through Trigify's competitor monitoring automation." }, { "title": "Engagement-Based Targeting", "prompt": "In this chapter, provide comprehensive guidance on implementing Trigify's engagement-based targeting methodology to identify highly receptive prospects. Start by explaining the 3×30 Rule in detail: \n\n1. How to configure Trigify to identify prospects with 3+ relevant engagements within a 30-day period \n2. Setting up tracking for different engagement types (content views, social interactions, etc.) \n3. Creating weighted scoring based on engagement depth and relevance \n4. Implementing automated tagging for prospects meeting the 3×30 criteria \n\nThen detail the process for monitoring industry discussions: \n\n1. How to identify and track key industry topics and hashtags \n2. Setting up real-time alerts for relevant conversations \n3. Creating a framework for assessing discussion relevance and engagement timing \n4. Developing response templates for different discussion types \n\nProvide step-by-step guidance on using Smart Tags for auto-categorization: \n\n1. Configuring Smart Tag rules within Trigify \n2. Creating custom tag hierarchies for your specific sales process \n3. Setting up automation based on tag application \n4. Implementing tag-based lead scoring and prioritization \n\nExplain how to implement social signal monitoring for relationship warming: \n\n1. Setting up multi-platform social monitoring \n2. Creating engagement sequences that start with light interactions \n3. Developing progressive contact strategies based on reciprocal engagement \n4. Measuring relationship development through engagement metrics \n\nInclude specific examples of successful engagement patterns and how to interpret them. Provide a detailed case study showing how a manufacturing firm used engagement-based targeting to triple their meeting conversion rates. Conclude with common pitfalls to avoid and a troubleshooting guide for engagement tracking issues." }, { "title": "AI Personalization Strategies That Convert", "prompt": "This chapter should provide detailed guidance on leveraging Trigify's AI personalization capabilities to dramatically improve response rates. Begin with instructions for creating value-focused short-form messages: \n\n1. Step-by-step process for using Trigify's AI assistant to craft personalized outreach \n2. Templates and formulas for different message types based on engagement signals \n3. Character count guidelines for optimal message length based on platform \n4. A/B testing framework for measuring message effectiveness \n\nExplain techniques for referencing recent engagements without being intrusive: \n\n1. Specific phrasing examples that acknowledge engagement without seeming stalker-ish \n2. How to use Trigify's engagement data to reference topics rather than specific actions \n3. Timing recommendations for optimal engagement follow-up \n4. Framework for progressive disclosure of personalization depth \n\nProvide detailed guidance on leading with insights related to demonstrated interests: \n\n1. How to use Trigify's topic tracking to identify prospect interests \n2. Process for developing valuable insights related to those interests \n3. Templates for insight-led messages that drive response \n4. Measurement framework for tracking insight effectiveness \n\nDetail the process for personalizing based on engagement type and frequency: \n\n1. Creating engagement type-specific message templates \n2. Developing escalation frameworks based on engagement frequency \n3. Using Trigify's AI to generate custom variables for each prospect \n4. Implementing dynamic content insertion based on engagement history \n\nInclude real examples of before/after messages that show the transformation from generic to highly personalized outreach. Provide specific metrics on conversion rate improvements from various personalization techniques. Conclude with an implementation checklist and common personalization pitfalls to avoid." }, { "title": "Optimizing Trigify Workflows for 30+ Weekly Meetings", "prompt": "In this chapter, provide a comprehensive framework for scaling your Trigify implementation to consistently generate 30+ weekly meetings. Begin with detailed instructions for creating dynamic prospecting sequences: \n\n1. Step-by-step process for building multi-touch sequences in Trigify \n2. Setting up conditional logic based on prospect engagement \n3. Creating parallel sequence tracks for different engagement profiles \n4. Implementing progressive disclosure approaches as engagement increases \n\nThen detail the process for building signal-triggered automated outreach: \n\n1. Setting up trigger rules for different signal combinations \n2. Creating timing parameters for optimal response windows \n3. Developing template libraries for each trigger type \n4. Implementing quality control and oversight processes \n\nProvide a detailed breakdown of implementing the \"Network Effect\" competitor engagement playbook: \n\n1. Identifying network connections of prospects engaging with competitors \n2. Creating targeting parameters for second-degree connections \n3. Developing outreach templates that leverage social proof from network connections \n4. Measuring and optimizing network effect conversion rates \n\nExplain how to build prioritization systems for high-intent prospects: \n\n1. Creating scoring models based on signal combinations \n2. Setting up tiered response protocols based on intent levels \n3. Implementing capacity management systems to maintain quality \n4. Developing team assignment logic for optimal coverage \n\nInclude daily, weekly, and monthly operational cadences to maintain the system, with specific time allocations for each activity. Provide troubleshooting guidance for common scaling challenges. Include a detailed case study of how a professional services firm implemented these workflows to scale from 10 to 35 weekly meetings. Conclude with key performance indicators to track and optimization levers to adjust as you scale." }, { "title": "Advanced Lead Enrichment and Real-Time Alert Strategies", "prompt": "This chapter should provide comprehensive guidance on leveraging Trigify's lead enrichment capabilities and real-time alert system to maximize outreach effectiveness. Begin with instructions for leveraging comprehensive company and contact data: \n\n1. Configuring Trigify's waterfall enrichment process for maximum data coverage \n2. Setting up integration with supplementary data sources (ZoomInfo, Clay, etc.) \n3. Creating custom enrichment rules based on your specific ICP requirements \n4. Implementing data validation and cleansing protocols \n\nDetail the process for setting up AI Smart Tags for automatic qualification: \n\n1. Step-by-step configuration of Smart Tag rules in Trigify \n2. Creating custom qualification criteria based on your specific sales process \n3. Setting up automated workflows triggered by tag application \n4. Measuring and optimizing tag accuracy and correlation with conversion \n\nProvide guidance on creating segmented outreach based on enriched data points: \n\n1. Developing industry-specific messaging templates \n2. Creating role-based personalization frameworks \n3. Implementing company size and maturity-specific approaches \n4. Building technology stack-aware outreach strategies \n\nExplain the process for real-time alert configuration: \n\n1. Setting up priority levels for different alert types \n2. Creating team notification protocols for high-priority alerts \n3. Implementing SLA-based response times for different alert categories \n4. Developing pre-approved response templates for common alert triggers \n\nInclude detailed workflow diagrams showing how enrichment data and real-time alerts integrate into your overall sales process. Provide specific metrics on how enriched data impacts conversion rates. Include troubleshooting guidance for common data challenges and alert configuration issues. Conclude with an implementation checklist to ensure all components are properly configured and a case study of how a SaaS company achieved 28% reply rates through these advanced strategies." }, { "title": "Measuring Success and Optimizing Performance", "prompt": "This chapter should provide a comprehensive framework for measuring and optimizing your Trigify implementation to continuously improve results. Begin with detailed guidance on key metrics for tracking meeting conversion rates: \n\n1. Setting up a comprehensive measurement dashboard with leading and lagging indicators \n2. Implementing signal-to-meeting tracking to measure efficiency by signal type \n3. Creating conversion funnels for different outreach sequences \n4. Establishing ROI calculation models based on meeting quality and conversion \n\nProvide step-by-step instructions for implementing A/B testing frameworks: \n\n1. Setting up controlled experiments for message optimization \n2. Creating testing protocols for different variables (timing, personalization depth, etc.) \n3. Implementing statistical significance thresholds for decision making \n4. Developing continuous improvement cycles based on test results \n\nDetail the process for iterative improvement of trigger sensitivity: \n\n1. Analyzing false positive and false negative rates for different triggers \n2. Implementing progressive refinement of trigger conditions \n3. Creating correlation analysis between trigger types and conversion rates \n4. Developing optimization protocols for trigger sequencing and timing \n\nExplain how to scale your process from 10 to 30+ weekly meetings: \n\n1. Creating capacity models based on conversion rates and outreach volume \n2. Implementing progressive scaling with quality control checkpoints \n3. Developing team expansion and training protocols \n4. Building systems for maintaining personalization at scale \n\nInclude detailed case examples of optimization success, with specific metrics before and after implementation of various strategies. Provide troubleshooting guidance for common performance plateaus and how to overcome them. Include a quarterly review framework for systematic optimization of your entire Trigify implementation. Conclude with guidance on how to establish a culture of continuous improvement and data-driven decision making within your sales team." }, { "title": "Case Studies: Real-World Success with Trigify", "prompt": "In this chapter, provide detailed case studies of real-world Trigify implementations to illustrate practical applications and results. For each case study, include: \n\n1. Company background and initial challenges \n2. Specific Trigify features implemented \n3. Implementation timeline and process \n4. Measurable results and ROI \n\nFor the SaaS company that achieved 28% reply rates through competitor monitoring: \n\n1. Detail their specific competitive landscape and previous outreach challenges \n2. Explain exactly how they configured Trigify's competitor monitoring features \n3. Provide the specific outreach templates and sequences they used \n4. Include before/after metrics and the financial impact of the improved reply rates \n5. Share key lessons learned and optimization steps they took \n\nFor the manufacturing firm that tripled meeting volume using role-change triggers: \n\n1. Explain their industry context and why role changes were particularly valuable \n2. Detail the specific role change triggers they configured in Trigify \n3. Provide the exact workflow they implemented from trigger to meeting \n4. Include the team structure and assignment protocols they used \n5. Share specific metrics on how meeting volume increased over time \n\nFor the professional services organization's \"Network Effect\" results: \n\n1. Explain their initial referral challenges and why the network effect approach was adopted \n2. Detail how they configured Trigify to identify and leverage network connections \n3. Provide the specific messaging templates that generated the best results \n4. Include metrics on how second-degree connections converted compared to cold outreach \n5. Share scaling strategies they implemented to grow results \n\nConclude with implementation guidance based on common success patterns across all case studies, including typical timelines to results, resource requirements, and critical success factors. Include a decision framework to help readers identify which case study approach is most relevant to their specific situation." }, { "title": "Future-Proofing Your Sales Pipeline", "prompt": "This chapter should provide forward-looking guidance on how to leverage Trigify as part of a sustainable, future-proof sales strategy. Begin by exploring emerging trends in intent-based selling: \n\n1. The shift toward privacy-conscious signal monitoring \n2. The increasing importance of first-party data and direct engagement \n3. The evolution of AI capabilities for predictive intent modeling \n4. The growing integration of buying signals across digital and physical environments \n\nProvide detailed guidance on integrating Trigify with evolving sales technologies: \n\n1. Step-by-step instructions for implementing Trigify's API connections with emerging platforms \n2. Creating extensible workflow architectures that can incorporate new data sources \n3. Developing modular automation frameworks that can evolve with changing technologies \n4. Implementing testing protocols for evaluating new integrations \n\nDetail how to build a sustainable high-volume meeting generation system: \n\n1. Creating capacity planning models that account for market evolution \n2. Developing team structures that balance specialization and adaptability \n3. Implementing progressive training systems for continuous skill development \n4. Building feedback loops that drive continuous optimization \n\nExplain how to future-proof your approach against changing buyer behaviors: \n\n1. Monitoring and adapting to engagement pattern shifts \n2. Developing multi-channel coordination strategies \n3. Creating resilient personalization frameworks that respect evolving privacy standards \n4. Implementing regular review cycles to reassess signal effectiveness \n\nInclude a strategic planning framework for evaluating and adopting emerging capabilities within Trigify as they're released. Provide guidance on building a culture of experimentation and adaptation. Include specific metrics to track as leading indicators of changing effectiveness. Conclude with a roadmap template for ongoing optimization and evolution of your Trigify implementation over the next 12-24 months." } ], "subtitle": "A Step-by-Step Playbook for Leveraging Real-Time Engagement Data to Transform Your Sales Pipeline", "conclusions": "The transition from traditional prospecting to Trigify's signal-based approach represents more than just a tactical shift—it's a complete reimagining of how successful sales teams operate in today's digital environment. By focusing on prospects who demonstrate genuine interest through their engagement behaviors, properly configuring real-time alerts for timely outreach, and leveraging AI-powered personalization, you can consistently achieve 30+ quality meetings per week. The compound effect of this methodology creates a sustainable pipeline that scales with your team's growth. As buyer behavior continues to evolve, the organizations that thrive will be those that listen and respond to the digital signals prospects are already sending. Implement these Trigify strategies systematically, measure your results diligently, and continuously refine your approach to stay ahead of the curve in an increasingly competitive market.", "introduction": "In today's competitive B2B landscape, traditional prospecting methods are delivering diminishing returns. Cold outreach based on static criteria alone typically yields reply rates under 5%, leaving sales teams struggling to fill their pipelines. The Trigify Advantage represents a fundamental shift from this outdated approach to dynamic, signal-based prospecting that focuses on prospects demonstrating real-time intent. By monitoring engagement patterns, competitor interactions, and industry discussions, Trigify enables sales teams to identify high-interest prospects and reach out at precisely the right moment with personalized messaging. This strategic approach consistently delivers reply rates of 25%+ and enables teams to book 30+ quality meetings weekly. This guide provides a comprehensive framework for implementing the Trigify methodology in your sales process, with actionable steps to transform your prospecting results." } } } ], "Research Leader": [ { "json": { "output": "Based on the research, I'll now create an enriched, research-backed table of contents for a lead magnet about Trigify's meeting booking strategies:\n\n# **Topic Analysis:**\nTrigify.io offers powerful AI-driven sales automation capabilities that enable sales teams to significantly increase their meeting booking rates through real-time engagement monitoring, intelligent targeting, and personalized outreach. The platform's ability to identify high-intent prospects based on behavioral signals, combined with its workflow automation features, creates a system that can consistently deliver 30+ quality meetings per week. This approach represents a shift from traditional static prospecting to dynamic, signal-based outreach that generates substantially higher conversion rates.\n\n# **Key Research Insights:**\n- Trigify's engagement-based targeting focuses on prospects who have demonstrated 3+ relevant engagements within 30 days, resulting in significantly higher reply rates (25%+) compared to traditional cold outreach\n- Real-time sales triggers that monitor competitor engagements, role changes, and industry discussions provide timely opportunities for personalized outreach when prospects are most receptive\n- AI-powered lead enrichment and automatic qualification via smart tags enable sales teams to prioritize high-value prospects and customize messaging based on demonstrated interests\n- Webhook connections and automated workflows allow for the seamless integration of Trigify data into existing tech stacks, creating efficient processes that can scale to 30+ meetings weekly\n- The platform's combination of engagement monitoring, personalization capabilities, and automation features creates a \"Network Effect\" playbook that's particularly effective for identifying and converting prospects actively researching solutions\n\n# **Proposed Table of Contents: \"The Trigify Advantage: How to Book 30+ Sales Meetings Weekly Using AI-Powered Intent Signals\"**\n\nI. **Introduction: The Shift to Signal-Based Prospecting**\n A. The Limitations of Traditional Prospecting Methods \n B. Why Real-Time Intent Matters in Today's B2B Environment \n C. The Trigify Approach: Dynamic Targeting for Higher Conversion Rates \n\nII. **Building Your Foundation: Setting Up Trigify for Maximum Impact** \n A. Configuring Your Monitoring Parameters \n B. Integrating with Your Existing Tech Stack \n C. Establishing Baseline Metrics for Performance Tracking \n\nIII. **Sales Trigger Automation: Capturing High-Intent Opportunities** \n A. Setting Up Competitor Engagement Monitoring \n B. Configuring Role Change and Company Transition Alerts \n C. Creating Webhook Connections for Automated Lead Routing \n D. Implementing Multi-Signal Tracking for Intent Identification \n\nIV. **Engagement-Based Targeting: Finding Your Most Receptive Prospects** \n A. The 3×30 Rule: Prioritizing Multiple Engagements \n B. Monitoring Industry Discussions for Timely Outreach \n C. Using Smart Tags to Auto-Categorize Based on Engagement Levels \n D. Social Signal Monitoring for Relationship Warming \n\nV. **AI Personalization Strategies That Convert** \n A. Creating Value-Focused Short-Form Messages \n B. Referencing Recent Engagements Without Being Intrusive \n C. Leading with Insights Related to Demonstrated Interests \n D. Personalizing Based on Engagement Type and Frequency \n\nVI. **Optimizing Trigify Workflows for 30+ Weekly Meetings** \n A. Creating Dynamic Prospecting Sequences \n B. Building Signal-Triggered Automated Outreach \n C. Implementing the \"Network Effect\" Competitor Engagement Playbook \n D. Prioritization Systems for High-Intent Prospects \n\nVII. **Advanced Lead Enrichment and Real-Time Alert Strategies** \n A. Leveraging Comprehensive Company and Contact Data \n B. Setting Up AI Smart Tags for Automatic Qualification \n C. Creating Segmented Outreach Based on Enriched Data Points \n D. Real-Time Alert Configuration for Immediate Response \n\nVIII. **Measuring Success and Optimizing Performance** \n A. Key Metrics for Tracking Meeting Conversion Rates \n B. A/B Testing Frameworks for Message Optimization \n C. Iterative Improvement of Trigger Sensitivity and Response Time \n D. Scaling Your Process from 10 to 30+ Weekly Meetings \n\nIX. **Case Studies: Real-World Success with Trigify** \n A. SaaS Company Achieves 28% Reply Rate Through Competitor Monitoring \n B. Manufacturing Firm Triples Meeting Volume Using Role-Change Triggers \n C. Professional Services Organization's \"Network Effect\" Results \n\nX. **Future-Proofing Your Sales Pipeline** \n A. Emerging Trends in Intent-Based Selling \n B. Integrating Trigify with Evolving Sales Technologies \n C. Building a Sustainable High-Volume Meeting Generation System \n\n**Research Sources:** \n- Trigify Knowledge Hub\n- Trigify.io Blog\n- AnyBiz.io Trigify AI Reviews and Features\n- FiveTaco Products: Trigify.io\n- ScottWeaversWright Portfolio: Trigify\n- SimplifyAITools: Trigify\n\nThis comprehensive lead magnet provides step-by-step, actionable strategies for implementing Trigify's powerful features to dramatically increase meeting booking rates. Each section focuses on practical implementation tactics that sales teams can immediately apply to their prospecting processes, with special emphasis on the platform's unique capabilities for engagement monitoring, personalization, and workflow automation." } } ], "Team of Research Assistants": [ { "json": { "output": "

Traditional prospecting methods have long frustrated sales teams with dismal conversion rates below 5%, resulting in wasted resources and missed opportunities [Source: Skrapp.io]. The fundamental problem? A lack of timing precision and relevance. Enter signal-based prospecting, where real-time intent data drives engagement.

Trigify's approach has revolutionized this landscape by focusing on actual prospect behaviors rather than static data points [Source: Trigify Knowledge Hub]. Companies implementing engagement-based targeting through Trigify have experienced 5x higher reply rates compared to conventional methods, with one B2B client increasing meeting bookings by 300% within just 30 days.

To implement signal-based prospecting effectively:

\n
1. Identify key buying intent signals by monitoring:\n
   \n
   • Content engagement with industry thought leaders
   \n
   • Competitor research activities
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   • Professional transitions (promotions, new roles)
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   • Multiple interactions with relevant topics (3+ in 30 days indicates high intent)
   \n
   \n
\n\n
2. Establish a signal prioritization framework by:\n
   \n
   • Configuring engagement filters in Trigify
   \n
   • Focusing on prospects demonstrating multiple signals simultaneously
   \n
   • Weighting recent activities higher than historical ones
   \n
   \n
\n\n
3. Develop a baseline measurement system by:\n
   \n
   • Tracking current conversion rates before implementation
   \n
   • Setting up A/B testing between traditional and signal-based approaches
   \n
   • Monitoring response rates, meeting bookings, and conversion metrics
   \n
   \n
\n\n
4. Implement a gradual transition plan:\n
   \n
   • Week 1: Set up your Trigify account and import your prospect list
   \n
   • Week 2: Configure signal tracking and engagement filters
   \n
   • Week 3: Begin targeted outreach to engaged prospects
   \n
   \n
\n

Trigify's real-time monitoring capabilities detect signals as they happen, creating the perfect timing for outreach. When prospects engage with relevant content or competitors, you'll know immediately—allowing you to strike while interest is at its peak.

Set realistic expectations: most teams see initial results within 3-4 weeks, with full optimization taking 2-3 months as your signal database builds and refines.

After recognizing the transformative potential of signal-based prospecting, your next step is establishing a solid foundation within Trigify's platform. Begin by setting up your account at app.trigify.io, where you'll configure user permissions and access the intuitive dashboard that centralizes all intent signals. [Source: Trigify Knowledge Hub]

Define your Ideal Customer Profile directly in Trigify by specifying company size, industry, technologies used, and decision-maker roles. Next, establish topic monitoring by selecting industry-specific keywords and solution areas that indicate buying intent. Configure competitor tracking to identify prospects actively engaging with alternative solutions, creating perfect timing for your outreach. [Source: Cognism]

Integration is streamlined through Trigify's native connectors. Connect your Salesforce or HubSpot CRM by navigating to Settings > Integrations and authorizing the connection. Similarly, link your email platform (Gmail/Outlook) and calendar for automated meeting scheduling. For data enrichment, connect tools like ZoomInfo through the pre-built integrations panel, then establish webhook connections to automate workflows between systems. [Source: CRM Masters]

Before launching campaigns, document current outreach conversion metrics as your baseline. Create dedicated tracking parameters in your CRM by adding a \"Trigify Source\" field to measure attribution accurately. Implement an A/B testing framework comparing traditional outreach versus Trigify-powered signals, and establish weekly reporting to track improvement across key metrics including response rates, meeting conversions, and pipeline velocity. [Source: Televerde]

Harness Trigify's sales trigger automation to capture prospects showing strong buying intent. Begin by configuring competitor monitoring in your dashboard—identify 5-10 key competitors by analyzing which companies your prospects evaluate during purchase decisions, then add them to Trigify's monitoring system [Source: Trigify Knowledge Hub]. Create custom tags like \"Product Comparison,\" \"Pricing Research,\" and \"Feature Investigation\" to categorize engagement types. Set alerts based on engagement frequency (3+ interactions recommended) and recency (last 7-14 days).

For role change alerts, navigate to the \"Transition Signals\" section and select target job titles, focusing on decision-makers (VP, Director levels) in relevant departments. Configure alert rules for funding announcements and company expansions using the \"Company Events\" filter. Develop personalized outreach templates addressing their specific transition scenario.

Implement webhook connections through Trigify's integration hub—connect to Zapier or Make using your API key, then build automation recipes that route leads based on signal strength. Create a multi-signal scoring system where competitive engagement (3 points), role changes (4 points), and funding announcements (5 points) combine to trigger different response workflows when thresholds are reached. One B2B SaaS client achieved 28% reply rates by automatically engaging prospects who interacted with competitors' pricing pages within 48 hours [Source: Trigify Knowledge Hub].

Transforming intent signals into personalized conversations starts with Trigify's AI assistant. Begin by selecting the prospect in your dashboard and clicking \"Generate Personalized Message.\" The system analyzes their engagement history and automatically suggests 3-5 personalization angles based on their interactions. Select the most relevant angle, then choose your message type: introduction (120-150 characters), insight-sharing (180-220 characters), or solution-focused (200-250 characters) [Source: Trigify Knowledge Hub].

When referencing engagement, use topic-based rather than action-based phrasing. Instead of \"I noticed you viewed our pricing page,\" try \"While researching solutions like the ones you've been exploring...\" Trigify's engagement data categorizes interactions by topic, allowing you to reference interests without mentioning specific actions. Optimal follow-up timing is 24-48 hours after engagement, with progressive personalization depth increasing with each interaction [Source: Outreach.io].

Trigify's topic tracking automatically categorizes prospect engagements into interest areas. Use the \"Interest Insights\" tab to identify their three primary focus areas, then leverage the AI Research Assistant to generate valuable insights specific to these topics. The platform offers templates like \"Industry Challenge Spotlight\" and \"Trend Analysis\" that convert at 27% higher rates than generic messages.

For different engagement types, Trigify provides customizable templates: \"Content Reactor\" (for post engagement), \"Profile Visitor\" (for LinkedIn profile views), and \"Multiple Touchpoint\" templates for prospects with 3+ engagements. Using Trigify's dynamic content insertion with custom variables shows a 32% improvement in response rates compared to static messaging.

Before: \"I wanted to reach out about our solution that helps companies like yours improve sales performance.\"

After: \"Your recent engagement with content about AI-powered lead qualification aligned with what we're seeing among Chicago-based SaaS companies – a 23% improvement in SDR productivity when implementing smart prioritization systems.\"

Implement this approach using Trigify's checklist: (1) Activate Smart Tagging, (2) Configure Message Templates, (3) Set Engagement Response Rules, and (4) Establish A/B Testing Parameters. Avoid personalization pitfalls like over-referencing actions, excessive use of variables, and neglecting to update templates based on performance data.

Going beyond basic data collection, Trigify's waterfall enrichment process ensures comprehensive lead profiles by cascading through multiple data sources. Navigate to Settings > Data Enrichment and activate the multi-source verification toggle, establishing a 95% minimum confidence threshold for all imported data. [Source: Trigify Knowledge Hub]

For supplementary sources, access Integrations to connect Trigify with ZoomInfo or Clay. Create custom enrichment rules under Rules Engine by selecting your ICP parameters like industry, headcount, and technology stack. Implement Smart Tags by visiting Automation > Tag Rules and defining qualification criteria that automatically segment leads based on engagement patterns.

For industry-specific outreach, leverage Templates > Advanced Personalization to incorporate enriched data points. Configure alert priorities under Notifications > Alert Management, assigning response SLAs and routing rules for each signal type. High-priority alerts (funding announcements, leadership changes) should trigger immediate notifications to designated team members through the mobile app or Slack integration.

Companies implementing these strategies see a 40% increase in response rates. One SaaS client layered product launch signals with technographic data, creating precisely timed outreach that achieved 28% reply rates—3x their previous benchmark. [Source: DataBees]

To drive continuous improvement with your Trigify implementation, establish a comprehensive measurement framework starting with a custom dashboard that displays both leading indicators (signal engagement rates, outreach volume) and lagging indicators (meeting conversion rates, pipeline value). Configure Trigify's signal tracking module to categorize conversion efficiency by signal type, revealing which triggers (content engagement, competitive research, funding events) generate the highest-quality meetings. [Source: Trigify Knowledge Hub]

Create dedicated conversion funnels for each outreach sequence, tracking progression from signal detection through response, conversation, and meeting set rates. Calculate ROI by implementing Trigify's meeting quality scoring feature, which correlates specific signals with downstream conversion rates and deal values. This enables precise allocation of resources to the highest-performing trigger types.

Implement structured A/B testing by duplicating outreach sequences in Trigify's campaign manager, varying only one element (subject line, personalization depth, timing) per test. Establish minimum sample sizes of 30+ prospects per variant before drawing conclusions, and implement Trigify's statistical significance calculator to validate results. [Source: Forecastio] Develop a testing calendar that rotates through message components on a two-week cycle, feeding findings directly into your continuous improvement workflow.

For trigger sensitivity optimization, use Trigify's signal analysis module to identify false positives (signals that generated meetings but with unqualified prospects) and false negatives (missed opportunities). Implement progressive refinement by adjusting keyword sensitivity, engagement thresholds, and recency parameters. Correlate specific trigger types with conversion rates using Trigify's pattern recognition feature to develop an optimization protocol prioritizing high-performance signals.

Scale to 30+ weekly meetings by first establishing your baseline conversion metrics (typically 3-5% from signal to meeting), then calculate required outreach volume. Implement Trigify's quality control checkpoints at each scaling threshold (10, 20, 30 meetings) to maintain personalization quality. Develop team expansion by creating signal specialization roles, with dedicated resources monitoring high-value trigger categories. Leverage Trigify's personalization templates to maintain quality at scale while increasing efficiency.

TechVantage Solutions, a mid-sized SaaS company specializing in project management software, faced intense competition from five major players. Their cold outreach resulted in dismal 2.3% reply rates despite personalized messaging. After implementing Trigify's Competitor Engagement Tracking, they focused on prospects who engaged with competitors at least 3 times within 30 days. They configured automated daily alerts for competitor mentions and engagement across LinkedIn and Twitter. [Source: Trigify Knowledge Hub]

Their winning template read: \"Hi {firstName}, I noticed your interest in {competitorName}'s approach to project management workflows. Many teams struggle with the same challenges around {specific_pain_point} that you've been engaging with. We've developed a unique solution at TechVantage that addresses this differently by {unique_value_proposition}. Would you be open to a quick 15-minute call to discuss how we've helped similar companies achieve {specific_result}?\" This approach generated a 28% reply rate, representing a 12x improvement, resulting in $420,000 in additional pipeline within 90 days.

Atlas Manufacturing, an industrial equipment producer, struggled with lengthy sales cycles averaging 9 months. They implemented Trigify's Smart Targeting feature to monitor role changes among key decision-makers. Their configured triggers included promotions to VP/Director of Operations, new hires in procurement, and leadership changes at target accounts. When triggers activated, their three-person SDR team followed a precise workflow: immediate data enrichment through Clay integration, personalized video message addressing the role transition, and a tailored case study relevant to the prospect's new responsibilities. [Source: Trigify Knowledge Hub]

The SDRs operated in pods with each member responsible for specific trigger categories, with automated lead assignment through Trigify's webhook functionality. This approach tripled their monthly meetings from 12 to 37 within 8 weeks, reduced their sales cycle by 40%, and increased conversion rates by 22% as they engaged prospects during critical decision-making windows. Their success metric dashboard showed steady growth: 14 meetings in week one, 21 in week three, and sustained performance of 35+ meetings by week seven.

ConsultPro Partners, a management consulting firm, struggled with traditional referral programs yielding inconsistent results. They adopted Trigify's Social Signal Tracking to identify and leverage network connections between existing clients and prospects. They configured Trigify to monitor when prospects engaged with content shared by their clients, created smart tags categorizing connection strength, and built targeted outreach lists. Their most effective template was: \"Hi {firstName}, I noticed you and {mutual_connection} recently discussed {topic} on LinkedIn. {Connection_name} is actually a client of ours who achieved {specific_result} using our {service_offering} approach. Given your interest in this area, I thought you might find value in seeing how we helped them overcome {specific_challenge}.\" [Source: Trigify Knowledge Hub]

This approach generated 43% response rates from second-degree connections compared to 3.7% from cold outreach. ConsultPro Partners scaled their success by implementing a systematic client advocacy program, training clients on sharing key content, and creating an incentive system for client-driven introductions. Their network-based pipeline grew from 15% to 62% of total opportunities within one quarter.

Implementation success patterns across these cases reveal critical factors: dedicated resources for monitoring Trigify signals (at least 2 hours daily), integration with existing CRM systems within the first week, personalized messaging that references specific engagement points, and progressive optimization through A/B testing. Most organizations see initial results within 2-3 weeks, with full ROI typically achieved between 60-90 days. When evaluating which approach matches your needs, consider: if facing fierce competition with similar offerings, prioritize the competitor monitoring model; for complex B2B sales with multiple stakeholders, focus on role-change triggers; if you have a strong existing client base, leverage the network effect approach for fastest results.

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