Create dual-source expert articles with internal knowledge and web research using Lookio, Linkup, and GPT-5
Ready for 3.0What this workflow does
This AI workflow has 14 nodes and runs when someone submits an n8n form (“New article”). Along the way it connects OpenAI Chat Model. It also calls api.lookio.app and api.linkup.so over HTTP.
How it runs
Trigger: When someone submits an n8n form (“New article”).
- Prepare form values (Edit Fields (Set)): sets 2 fields: Title, Guidelines
- New content - generate research questions (Basic LLM Chain): sends a prompt to an LLM, with model: GPT 5 mini; output parser: Structured Output Parser
- Split Out: splits a list into separate items
- Loop Over Questions (Loop Over Items (Split in Batches)): loops over the items in batches
- Aggregate: combines items into one
- Query Lookio Assistant (HTTP Request): calls api.lookio.app (POST)
- New content - Generate the AI output (Basic LLM Chain): sends a prompt to an LLM, with model: GPT 5 chat
- Query Linkup for AI web-search (HTTP Request): calls api.linkup.so (POST)
- Article result (Edit Fields (Set)): sets 1 field: Article
- Format question and insights (Edit Fields (Set)): sets 3 fields: Question, Internal knowledge insights, Web insights
Services it uses
HTTP calls to: api.lookio.app, api.linkup.so
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (9)
- Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - n8n Form Trigger
n8n-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 Out
n8n-nodes-base.splitOut - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - HTTP Request
n8n-nodes-base.httpRequest - Aggregate
n8n-nodes-base.aggregate
From the author
Create truly authoritative articles that blend your unique, internal expertise with the latest, most relevant information from the web. This template orchestrates an advanced "hybrid research" content process that delivers unparalleled depth and credibility.…