Derek Cheung This workflow corresponds to n8n.io template #2607 — we link there as the canonical source.
This workflow follows the Agent → Chainllm 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 →
{
"nodes": [
{
"id": "05f11d31-54c4-40c2-a676-f6b42ec3e15f",
"name": "Merge chapters title and text",
"type": "n8n-nodes-base.merge",
"position": [
2980,
360
],
"parameters": {},
"typeVersion": 2.1
},
{
"id": "abf1e9ed-63ad-4ce9-ba54-3160fa6818e7",
"name": "Final article text",
"type": "n8n-nodes-base.code",
"position": [
3240,
360
],
"parameters": {},
"typeVersion": 1
},
{
"id": "cc499a44-49e6-4e00-9c66-f23f1ec14a6c",
"name": "n8n Form Trigger",
"type": "n8n-nodes-base.formTrigger",
"position": [
1140,
360
],
"parameters": {},
"typeVersion": 2.1
},
{
"id": "632bce8c-d2fa-4b82-b9cb-66d5e48dc413",
"name": "Ghost",
"type": "n8n-nodes-base.ghost",
"position": [
4260,
360
],
"parameters": {},
"typeVersion": 1
},
{
"id": "d9c41838-d032-4a06-84d9-c967f367314a",
"name": "Create title",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
3940,
360
],
"parameters": {},
"typeVersion": 1.4
},
{
"id": "e630361f-ddb6-46cd-92c7-810f35972812",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
1304.342390271599,
240
],
"parameters": {},
"typeVersion": 1
},
{
"id": "8c9c2c0d-2902-4ee2-8f75-738be085266e",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1820,
240
],
"parameters": {},
"typeVersion": 1
},
{
"id": "de03919c-4284-4f3e-8938-d438f6db5be0",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
2480,
240
],
"parameters": {},
"typeVersion": 1
},
{
"id": "9ebd7a08-dd8e-420d-a528-20d1ad88dfce",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
3200,
240
],
"parameters": {},
"typeVersion": 1
},
{
"id": "169b775d-c651-4324-a869-22e2d72bf21e",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
3900,
240
],
"parameters": {},
"typeVersion": 1
},
{
"id": "2038e19e-5ba8-48dd-bdfe-1a1bd6b3fd09",
"name": "Execute Workflow Trigger",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
1920,
800
],
"parameters": {},
"typeVersion": 1
},
{
"id": "01456bf8-26ec-46c2-8ee8-828782decb47",
"name": "Response",
"type": "n8n-nodes-base.set",
"position": [
2380,
800
],
"parameters": {},
"typeVersion": 3.4
},
{
"id": "eb21f1a3-a051-48d4-8c53-f34e21ac787f",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1820,
740
],
"parameters": {},
"typeVersion": 1
},
{
"id": "38a43da1-6c3f-415e-8df6-c3818a10c87f",
"name": "Perplexity_tool",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
1580,
540
],
"parameters": {},
"typeVersion": 1.2
},
{
"id": "415689c4-b56d-4b13-b33c-054ddeed9fb3",
"name": "Perplexity_tool1",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
2740,
580
],
"parameters": {},
"typeVersion": 1.2
},
{
"id": "6c93e6de-cb4b-4007-a995-c392ae5e0909",
"name": "Perplexity API",
"type": "n8n-nodes-base.httpRequest",
"position": [
2160,
800
],
"parameters": {},
"typeVersion": 4.2
},
{
"id": "af97eb1a-b84c-49c1-b744-e821ce957806",
"name": "Research Leader \ud83d\udd2c",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1400,
360
],
"parameters": {},
"typeVersion": 1.6
},
{
"id": "5b04203e-57b6-4350-b7f4-855377287626",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
2040,
560
],
"parameters": {},
"typeVersion": 1.2
},
{
"id": "5eb16ce3-f398-4af8-824b-51cdfa02852b",
"name": "Delegate to Research Assistants",
"type": "n8n-nodes-base.splitOut",
"position": [
2240,
360
],
"parameters": {},
"typeVersion": 1
},
{
"id": "bdc3be87-b871-4f2c-b40b-a332c08858e4",
"name": "Research Assistant",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
2560,
360
],
"parameters": {},
"retryOnFail": true,
"typeVersion": 1.6
},
{
"id": "c1666f60-3ec6-4afb-98f4-fb863faf6e9c",
"name": "Project Planner",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1860,
360
],
"parameters": {},
"typeVersion": 1.7
},
{
"id": "deb99784-4dd2-4ff0-8d1c-7c570db9cb28",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1860,
560
],
"parameters": {},
"typeVersion": 1
},
{
"id": "c7669cd1-fe60-49a5-93ba-c6cf5878034b",
"name": "OpenAI Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
3700,
560
],
"parameters": {},
"typeVersion": 1
},
{
"id": "cc7b23df-1501-4e33-b06e-a4fdf5be881d",
"name": "OpenAI Chat Model2",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1420,
540
],
"parameters": {},
"typeVersion": 1
},
{
"id": "00752b7d-9b4c-4b1d-b720-d9b784a3fb2e",
"name": "OpenAI Chat Model3",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
2560,
560
],
"parameters": {},
"typeVersion": 1
},
{
"id": "32b48ae9-ae0f-4f6a-b303-446cf51d7548",
"name": "Editor",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
3460,
360
],
"parameters": {},
"typeVersion": 1.6
},
{
"id": "f718980e-db45-447c-8c4f-a40fa3073250",
"name": "Perplexity_tool2",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
2220,
560
],
"parameters": {},
"typeVersion": 1.2
},
{
"id": "e5e26313-9efc-41b2-8b9a-da12418955a3",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
440,
200
],
"parameters": {},
"typeVersion": 1
}
],
"connections": {
"Editor": {
"main": [
[
{
"node": "Create title",
"type": "main",
"index": 0
}
]
]
},
"Create title": {
"main": [
[
{
"node": "Ghost",
"type": "main",
"index": 0
}
]
]
},
"Perplexity API": {
"main": [
[
{
"node": "Response",
"type": "main",
"index": 0
}
]
]
},
"Perplexity_tool": {
"ai_tool": [
[
{
"node": "Research Leader \ud83d\udd2c",
"type": "ai_tool",
"index": 0
}
]
]
},
"Project Planner": {
"main": [
[
{
"node": "Delegate to Research Assistants",
"type": "main",
"index": 0
}
]
]
},
"Perplexity_tool1": {
"ai_tool": [
[
{
"node": "Research Assistant",
"type": "ai_tool",
"index": 0
}
]
]
},
"Perplexity_tool2": {
"ai_tool": [
[
{
"node": "Project Planner",
"type": "ai_tool",
"index": 0
}
]
]
},
"n8n Form Trigger": {
"main": [
[
{
"node": "Research Leader \ud83d\udd2c",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Project Planner",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Final article text": {
"main": [
[
{
"node": "Editor",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "Editor",
"type": "ai_languageModel",
"index": 0
},
{
"node": "Create title",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model2": {
"ai_languageModel": [
[
{
"node": "Research Leader \ud83d\udd2c",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model3": {
"ai_languageModel": [
[
{
"node": "Research Assistant",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Research Assistant": {
"main": [
[
{
"node": "Merge chapters title and text",
"type": "main",
"index": 0
}
]
]
},
"Research Leader \ud83d\udd2c": {
"main": [
[
{
"node": "Project Planner",
"type": "main",
"index": 0
}
]
]
},
"Execute Workflow Trigger": {
"main": [
[
{
"node": "Perplexity API",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Project Planner",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Merge chapters title and text": {
"main": [
[
{
"node": "Final article text",
"type": "main",
"index": 0
}
]
]
},
"Delegate to Research Assistants": {
"main": [
[
{
"node": "Merge chapters title and text",
"type": "main",
"index": 1
},
{
"node": "Research Assistant",
"type": "main",
"index": 0
}
]
]
}
}
}
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
Purpose of workflow: This AI-powered workflow is designed to automatically generate comprehensive, well-researched articles on any given topic. It utilizes a team of AI agents to streamline the research and writing process, producing high-quality content with proper citations…
Source: https://n8n.io/workflows/2607/ — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
The AI-Powered Shopify SEO Content Automation is an enterprise-grade workflow that transforms product content creation for e-commerce stores. This sophisticated multi-agent system integrates GPT-4o, C
Perplexity Tool, Memory Buffer Window, Agent +15
This template attempts to replicate OpenAI's DeepResearch feature which, at time of writing, is only available to their pro subscribers.
Output Parser Structured, OpenAI Chat, Form Trigger +8
How it Works
Memory Buffer Window, Agent, Output Parser Structured +9
Deep Research new (fr). Uses outputParserStructured, formTrigger, chainLlm, form. Event-driven trigger; 82 nodes.
Output Parser Structured, Form Trigger, Chain Llm +8
The best content automation template in the market is now even better—with “deep research” on time-sensitive topics\! Unlike most n8n content automation templates that are mainly for “demo purposes,”
OpenAI, HTTP Request, XML +11