This workflow follows the Agent → Execute Workflow Trigger recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "Linkedin Template",
"nodes": [
{
"parameters": {
"model": {
"__rl": true,
"value": "gpt-4.1",
"mode": "list",
"cachedResultName": "gpt-4.1"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
-492,
40
],
"id": "b3dbe190-ab17-4d65-893c-6b391d0e9947",
"name": "OpenAI Chat Model",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"promptType": "define",
"text": "={{ $json.output }}",
"options": {
"systemMessage": "# Overview\nYou are an AI agent that transforms LinkedIn posts into polished, professional visual prompts for generating business-focused graphics using AI tools. These visuals are crafted to support and enhance the messaging of LinkedIn posts and appeal to a professional audience.\n\n\u2e3b\n\n## Objective:\n\t\u2022\tRead and interpret the LinkedIn post.\n\t\u2022\tIdentify the key message, comparison, or data insight.\n\t\u2022\tWrite a prompt for a visually clean, high-quality marketing-style image that:\n\t1.\tHighlights the core takeaway clearly\n\t2.\tFeels credible, modern, and editorial\n\t3.\tIs optimised for LinkedIn\u2019s brand and business context\n\n\u2e3b\n\n## Output Instructions:\n\t\u2022\tOutput only the visual prompt (no quotes, no extra commentary).\n\t\u2022\tAvoid placeholders or repeating the post.\n\t\u2022\tInclude numbers or specific comparison points if available.\n\t\u2022\tUse descriptive visual language and layout suggestions.\n\n\u2e3b\n\n## Style Guidelines:\nDesign visuals that reflect a B2B, insight-driven approach:\n\t\u2022\tRealistic textures and lighting (no flat cartoon or emoji-like icons)\n\t\u2022\tHigh resolution and sharp detail\n\t\u2022\tClean infographics or comparison tables (with hierarchy and visual rhythm)\n\t\u2022\tInclude light gradients, drop shadows, glassmorphism effects, or subtle textures\n\t\u2022\tModern colours: LinkedIn blue, slate grey, navy, white, soft neutrals\n\t\u2022\tTypography area described for clear headlines or stats\n\t\u2022\tProfessional, minimal illustration style \u2014 think Canva Pro, Adobe Express, or Pitch.com quality\n\n\u2e3b\n\n## Example Prompt:\nA high-resolution LinkedIn graphic showing a clean, professional comparison table of \u201cApple vs. Orange.\u201d On the left: a sliced red apple resting on a sleek white surface with soft lighting and realistic texture. On the right: a juicy orange wedge with visible pulp and shadow. In the centre: a semi-transparent grid layout with icons beside the words \u201cCrisp\u201d, \u201cJuicy\u201d, \u201cFibre\u201d, \u201cVitamin C\u201d. Typography is modern and sharp, with a bold sans-serif headline reading \u201cApple vs Orange \u2013 What Really Matters?\u201d Soft vignette and minimal shadow give the visual depth. Editorial-style composition."
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.8,
"position": [
-144,
-180
],
"id": "a8cbc58f-7875-4961-a78d-69ff0d653f74",
"name": "Image Prompt Agent"
},
{
"parameters": {
"promptType": "define",
"text": "=Topic of Post: {{ $json['Topic of Post'] }}\n\nTarget Audience: {{ $json['Target Audience'] }}\n\nAdditional Context: {{ $json['Additional Context'] }}",
"options": {
"systemMessage": "=# Overview\nYou are an AI agent specialised in creating professional, educational, and engaging LinkedIn posts based on any topic provided by the user.\n\n## Objectives:\nbegin by conducting a real-time search using the Tavily tool to gather the most accurate, up-to-date information on the topic. The post should be written to appeal to the provided target audience. Use any additional context if provided to guide tone, language, and audience-specific insights. \n\nBased on your research, generate a well-structured LinkedIn post that:\n- Starts with an engaging hook\n- Professional in tone\n- Clear and easy to read\n- Educational and insightful\n- Light on emojis (use only when highly relevant and minimal)\n- Includes proper source attribution (e.g., \"according to [source]\")\n- Contains relevant hashtags to improve visibility\n- Ends with a clear call to action (e.g., asking for thoughts, feedback, or shares)\n\n## Output Instructions:\n- Your ONLY output should be the final LinkedIn post text.\n- Do not include explanations, notes, or anything beyond the post itself.\n\n## Example Workflow:\n1) Receive a topic (e.g., \"The ROI of warehouse automation\")\n2) Use Tavily to search and gather recent information or case studies \n3) Draft a LinkedIn post using that research\n4) Format it with source citations, clean structure, optional hashtags, and a call to action"
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.8,
"position": [
-520,
-180
],
"id": "2d52017c-1d2a-4b1a-8857-4e1f16964bf3",
"name": "Linkedin Post Agent"
},
{
"parameters": {
"toolDescription": "Use this tool to search the web. ",
"method": "POST",
"url": "https://api.tavily.com/search",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"sendBody": true,
"specifyBody": "json",
"jsonBody": "{\n \"query\": \"{searchTerm}\",\n \"topic\": \"general\",\n \"search_depth\": \"advanced\",\n \"chunks_per_source\": 3,\n \"max_results\": 1,\n \"time_range\": null,\n \"days\": 7,\n \"include_answer\": true,\n \"include_raw_content\": false,\n \"include_images\": false,\n \"include_image_descriptions\": false,\n \"include_domains\": [],\n \"exclude_domains\": []\n}",
"placeholderDefinitions": {
"values": [
{
"name": "searchTerm",
"description": "What the user is searching for"
}
]
}
},
"type": "@n8n/n8n-nodes-langchain.toolHttpRequest",
"typeVersion": 1.1,
"position": [
-372,
40
],
"id": "ab8bad30-75fa-4906-9233-0863f391f6b5",
"name": "Tavily",
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"workflowInputs": {
"values": [
{
"name": "Topic of Post"
},
{
"name": "Target Audience"
},
{
"name": "Email"
},
{
"name": "Folder Name"
},
{
"name": "Additional Context"
}
]
}
},
"type": "n8n-nodes-base.executeWorkflowTrigger",
"typeVersion": 1.1,
"position": [
-740,
-180
],
"id": "e30dae54-cf86-4998-828d-d19c59bf2270",
"name": "When Executed by Another Workflow"
},
{
"parameters": {
"method": "POST",
"url": "https://api.openai.com/v1/images/generations",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "model",
"value": "gpt-image-1"
},
{
"name": "prompt",
"value": "={{ $json.output }}"
},
{
"name": "size",
"value": "1024x1024"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
232,
-180
],
"id": "0988d47d-df21-499c-b180-531de9a245a3",
"name": "Generate Image",
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "toBinary",
"sourceProperty": "data[0].b64_json",
"options": {}
},
"type": "n8n-nodes-base.convertToFile",
"typeVersion": 1.1,
"position": [
452,
-180
],
"id": "6ead26c1-799e-4087-82a1-6ce075caced1",
"name": "Convert to Binary"
},
{
"parameters": {
"name": "Linkedin Image",
"driveId": {
"__rl": true,
"value": "My Drive",
"mode": "list",
"cachedResultName": "My Drive",
"cachedResultUrl": "https://drive.google.com/drive/my-drive"
},
"folderId": {
"__rl": true,
"value": "={{ $('When Executed by Another Workflow').item.json['Folder Name'] }}",
"mode": "id"
},
"options": {}
},
"type": "n8n-nodes-base.googleDrive",
"typeVersion": 3,
"position": [
672,
-180
],
"id": "eb896974-50bd-4a6c-8bee-316e21e9d1b8",
"name": "Upload Image",
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "81949d4a-b601-45d8-baee-49287ce38b4c",
"name": "Platform",
"value": "Instagram",
"type": "string"
},
{
"id": "d5b78358-7da5-4d77-b5ee-c37eddce15d9",
"name": "Generated Text",
"value": "={{ $('Linkedin Post Agent').item.json.output }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
892,
-180
],
"id": "fc0981ad-8342-45f7-baa4-8381ff9ea1fc",
"name": "Output to Manager Agent"
}
],
"connections": {
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Linkedin Post Agent",
"type": "ai_languageModel",
"index": 0
},
{
"node": "Image Prompt Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Linkedin Post Agent": {
"main": [
[
{
"node": "Image Prompt Agent",
"type": "main",
"index": 0
}
]
]
},
"Image Prompt Agent": {
"main": [
[
{
"node": "Generate Image",
"type": "main",
"index": 0
}
]
]
},
"Tavily": {
"ai_tool": [
[
{
"node": "Linkedin Post Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"When Executed by Another Workflow": {
"main": [
[
{
"node": "Linkedin Post Agent",
"type": "main",
"index": 0
}
]
]
},
"Generate Image": {
"main": [
[
{
"node": "Convert to Binary",
"type": "main",
"index": 0
}
]
]
},
"Convert to Binary": {
"main": [
[
{
"node": "Upload Image",
"type": "main",
"index": 0
}
]
]
},
"Upload Image": {
"main": [
[
{
"node": "Output to Manager Agent",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "f3509710-8908-439c-a4a0-d15f16b1417e",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "MCFTOktnglaE7ENH",
"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.
googleDriveOAuth2ApihttpHeaderAuthopenAiApi
Pro
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About this workflow
Linkedin Template. Uses lmChatOpenAi, agent, toolHttpRequest, executeWorkflowTrigger. Event-driven trigger; 9 nodes.
Source: https://github.com/women-in-ai-ireland/march-2025-group-1/blob/deeb7e3b9b2e55efba8524e0a0f38aae22803448/Workflows/linkedin_post.json — original creator credit. Request a take-down →
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