Create research-backed articles with AI planning, Linkup Search & GPT-5

by Guillaume Duvernay ✓ · 714 views · created 2025-09-07 · Content Creation

What this workflow does

This AI workflow has 13 nodes and runs when someone submits an n8n form (“New article”). Along the way it connects OpenAI Chat Model. It also calls api.linkup.so over HTTP.

How it runs

Trigger: When someone submits an n8n form (“New article”).

1. Prepare form values (Edit Fields (Set)): sets 2 fields: Title, Guidelines
2. Generate research questions (Basic LLM Chain): sends a prompt to an LLM, with model: GPT 5 mini; output parser: Structured Output Parser
3. Split Out: splits a list into separate items
4. Loop Over Questions (Loop Over Items (Split in Batches)): loops over the items in batches
5. Aggregate: combines items into one
6. Query Linkup for insights (HTTP Request): calls api.linkup.so (POST)
7. Generate the AI output (Basic LLM Chain): sends a prompt to an LLM, with model: GPT 5 chat
8. Format question and insights (Edit Fields (Set)): sets 2 fields: Question, Insights
9. Article result (Edit Fields (Set)): sets 1 field: Article

Services it uses

OpenAI Chat Model

HTTP calls to: api.linkup.so

Before you upgrade to n8n 3.0

Nodes used (9)

• n8n Form Triggern8n-nodes-base.formTrigger
• Edit Fields (Set)n8n-nodes-base.set
• Structured Output Parser@n8n/n8n-nodes-langchain.outputParserStructured
• OpenAI Chat Model@n8n/n8n-nodes-langchain.lmChatOpenAi
• Split Outn8n-nodes-base.splitOut
• Loop Over Items (Split in Batches)n8n-nodes-base.splitInBatches
• Aggregaten8n-nodes-base.aggregate
• HTTP Requestn8n-nodes-base.httpRequest
• Basic LLM Chain@n8n/n8n-nodes-langchain.chainLlm

From the author

Go beyond basic AI-generated text and create articles that are well-researched, comprehensive, and credible. This template automates an advanced content creation process that mimics a professional writing team: it plans, researches, and then writes. Instead…

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