This workflow follows the Agent → Chat Trigger recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"name": "Copywriting Agent (Team)",
"nodes": [
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"typeVersion": 1.1,
"position": [
180,
0
],
"id": "dcb905cb-7090-4220-8c54-846383b564f0",
"name": "When chat message received"
},
{
"parameters": {
"name": "Ad_Copy",
"description": "Call this tool when the user requests ad copy. ",
"workflowId": {
"__rl": true,
"value": "kIqUsGo0GRe402ZO",
"mode": "list",
"cachedResultName": "Ad Copywriter"
},
"workflowInputs": {
"mappingMode": "defineBelow",
"value": {},
"matchingColumns": [],
"schema": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"typeVersion": 2.1,
"position": [
580,
320
],
"id": "98ce3835-1e88-4b63-8c13-e0b87fd09c3f",
"name": "Ad Copy Agent"
},
{
"parameters": {
"model": {
"__rl": true,
"value": "gpt-4.1-mini",
"mode": "list",
"cachedResultName": "gpt-4.1-mini"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
340,
220
],
"id": "cdb22d08-56f3-42a8-a9a5-991f83ed96a2",
"name": "OpenAI Chat Model",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"name": "vsl_script_agent",
"description": "Call this tool when user requests a VSL script. ",
"workflowId": {
"__rl": true,
"value": "O9s4mb6Uer9HLR3W",
"mode": "list",
"cachedResultName": "VSL Copywriter"
},
"workflowInputs": {
"mappingMode": "defineBelow",
"value": {},
"matchingColumns": [],
"schema": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"typeVersion": 2.1,
"position": [
700,
360
],
"id": "5cc5c539-31e0-49fb-b407-6c491d07ba90",
"name": "vsl_script_agent"
},
{
"parameters": {
"name": "ad_script_agent",
"description": "Call this tool when the user requests an ad script. ",
"workflowId": {
"__rl": true,
"value": "EmXRhMWe3IeFLMvO",
"mode": "list",
"cachedResultName": "Ad Script Copywriter"
},
"workflowInputs": {
"mappingMode": "defineBelow",
"value": {},
"matchingColumns": [],
"schema": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"typeVersion": 2.1,
"position": [
820,
400
],
"id": "4cd3254e-4499-423d-831a-7f0cc25ff401",
"name": "ad_script_agent"
},
{
"parameters": {
"name": "sales_letter_agent",
"description": "Call this tool when the user requests a sales letter. ",
"workflowId": {
"__rl": true,
"value": "kNW4Ms1ZyLgrkJez",
"mode": "list",
"cachedResultName": "Sales Letter Copywriter"
},
"workflowInputs": {
"mappingMode": "defineBelow",
"value": {},
"matchingColumns": [],
"schema": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"typeVersion": 2.1,
"position": [
940,
360
],
"id": "976208f1-abb5-4e61-af3f-389807260fcc",
"name": "sales_letter_agent"
},
{
"parameters": {
"name": "cold_email_copywriter",
"description": "Call this tool when the user requests cold email sequences. ",
"workflowId": {
"__rl": true,
"value": "5c8thgcBBmTZqCRF",
"mode": "list",
"cachedResultName": "Cold Email Copywriter"
},
"workflowInputs": {
"mappingMode": "defineBelow",
"value": {},
"matchingColumns": [],
"schema": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"typeVersion": 2.1,
"position": [
1060,
300
],
"id": "b3bedf88-b3a1-4bc4-9231-73b20b0c083c",
"name": "Cold Email Copywriter"
},
{
"parameters": {
"operation": "update",
"documentURL": "1H-4qhZmxQYkzVxGSqksRe7TUHFPJC0X6ExzLUwPciEc",
"simple": false,
"actionsUi": {
"actionFields": [
{
"action": "insert",
"text": "={{ $json.output }}"
}
]
}
},
"type": "n8n-nodes-base.googleDocs",
"typeVersion": 2,
"position": [
1300,
0
],
"id": "407c5b62-2514-4e8d-929f-d96ef2c98c61",
"name": "Google Docs",
"credentials": {
"googleDocsOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"contextWindowLength": 10
},
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
460,
260
],
"id": "e1b78919-7651-4e0b-af39-df044134c5b6",
"name": "Simple Memory"
},
{
"parameters": {
"name": "compliance_agent",
"description": "Call this tool to get a compliance check for any copy outputs from \n\nAd Copywriter\nAd Script Copywriter ",
"workflowId": {
"__rl": true,
"value": "jxcLiaTnxcHpGQnj",
"mode": "list",
"cachedResultName": "Compliance Agent"
},
"workflowInputs": {
"mappingMode": "defineBelow",
"value": {},
"matchingColumns": [],
"schema": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"typeVersion": 2.1,
"position": [
1180,
220
],
"id": "03bc3f80-e4da-4222-a886-d5fe4adcb423",
"name": "Compliance Agent"
},
{
"parameters": {
"options": {
"systemMessage": "# Overview \nYou are a **Copy Assistant Agent** responsible for managing and routing user requests to the appropriate specialized copywriting agents based on intent. You are the central coordinator for generating and delivering high-quality, platform-ready marketing copy. \n\n## Context \n- You are connected to multiple specialized copywriting tools: \n - Ad Copy Agent \n - VSL Script Agent \n - Ad Script Agent \n - Sales Letter Agent \n - Cold Email Copywriter \n- You also interact with an OpenAI Chat Model and a memory system to retain conversational context. \n- Once copy is generated, your role is to deliver it clearly and accurately to the user, and update a connected Google Doc with the final version. \n\n## Instructions \n1. When a user request is received, determine its intent and route it to the correct agent: \n - Use the Ad Copy Agent for general ad copy (e.g., Meta, Google, LinkedIn). \n - Use the Ad Script Agent for short-form direct-to-camera video ads. \n - Use the VSL Script Agent for longer video sales letter scripts. \n - Use the Sales Letter Agent for long-form landing or sales pages. \n - Use the Cold Email Copywriter for outbound email sequences or campaigns. \n\n2. After routing the request and receiving the generated output: \n - Review for completeness and clarity. \n - If a revision is clearly needed (e.g., vague result, broken formatting, incorrect structure), return it to the originating agent with a request for refinement. \n - Otherwise, finalize and prepare the output. \n\n3. Update the connected Google Doc with the approved final version. \n4. Deliver the output to the user in a clear, clean format. \n\n5. Use the OpenAI Chat Model to classify request type and ensure the best-fitting agent is used. \n6. Use memory to retain user preferences, context, and prior outputs for continuity in future tasks. \n\n## Tools \n- **OpenAI Chat Model** \u2014 For interpreting user intent and guiding routing decisions \n- **Simple Memory** \u2014 For context and continuity \n- **Copywriting Agents**: \n - Ad Copy Agent \n - Ad Script Agent \n - VSL Script Agent \n - Sales Letter Agent \n - Cold Email Copywriter \n- **Google Docs API** \u2014 For final output delivery and storage \n\n## Examples \n- Input: \u201cCan you write a Facebook ad promoting our webinar?\u201d \n - Route to: Ad Copy Agent \n - Output to user + update Google Doc \n\n- Input: \u201cWrite me a cold email sequence for LinkedIn outreach\u201d \n - Route to: Cold Email Copywriter \n - Output to user + update Google Doc \n\n- Input: \u201cI need a 2-minute VSL for a fitness coaching offer\u201d \n - Route to: VSL Script Agent \n - Output to user + update Google Doc \n\n## SOP (Standard Operating Procedure) \n1. Classify the request using the Chat Model. \n2. Route to the appropriate copywriting agent. \n3. On receiving output: \n - If revision needed, send feedback to agent and repeat. \n - If clear and complete, finalize it. \n4. Post final version to Google Docs. \n5. Send approved copy to the user. \n6. Store and reference memory context for seamless follow-ups. \n\n## Final Notes \n- Your job is to ensure each request is handled by the most capable tool, and the user receives accurate, structured, and polished output. \n- Maintain speed, clarity, and quality at every step. \n---\n\n"
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.9,
"position": [
672,
0
],
"id": "bb2d48a0-494a-4280-99a2-611bb404132a",
"name": "Copy Assistant"
}
],
"connections": {
"When chat message received": {
"main": [
[
{
"node": "Copy Assistant",
"type": "main",
"index": 0
}
]
]
},
"Ad Copy Agent": {
"ai_tool": [
[
{
"node": "Copy Assistant",
"type": "ai_tool",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Copy Assistant",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"vsl_script_agent": {
"ai_tool": [
[
{
"node": "Copy Assistant",
"type": "ai_tool",
"index": 0
}
]
]
},
"ad_script_agent": {
"ai_tool": [
[
{
"node": "Copy Assistant",
"type": "ai_tool",
"index": 0
}
]
]
},
"sales_letter_agent": {
"ai_tool": [
[
{
"node": "Copy Assistant",
"type": "ai_tool",
"index": 0
}
]
]
},
"Cold Email Copywriter": {
"ai_tool": [
[
{
"node": "Copy Assistant",
"type": "ai_tool",
"index": 0
}
]
]
},
"Simple Memory": {
"ai_memory": [
[
{
"node": "Copy Assistant",
"type": "ai_memory",
"index": 0
}
]
]
},
"Compliance Agent": {
"ai_tool": [
[
{
"node": "Copy Assistant",
"type": "ai_tool",
"index": 0
}
]
]
},
"Copy Assistant": {
"main": [
[
{
"node": "Google Docs",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "e92571e3-84d8-428c-a6db-5eb34dc7dbef",
"id": "VRgo00Fm4ZIOpHUy",
"tags": []
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
googleDocsOAuth2ApiopenAiApi
Pro
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About this workflow
Copywriting Agent (Team). Uses chatTrigger, toolWorkflow, lmChatOpenAi, googleDocs. Chat trigger; 11 nodes.
Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →
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