Post daily Verge tech updates to LinkedIn with Gemini and Airtable
Ready for 3.0What this workflow does
This AI workflow has 13 nodes and runs on a schedule (every day at 18:00). Along the way it connects Wikipedia, Google Gemini Chat Model, Google Gemini and LinkedIn and 1 more.
How it runs
Trigger: On a schedule (every day at 18:00).
- RSS (RSS Read): reads an RSS feed
- Limit: keeps the first few items
- Aggregate: combines items into one
- AI Agent: runs an AI agent, with model: Google Gemini Chat Model; 3 tools (Think, Wikipedia, Calculator); output parser: Structured Output Parser
- Image (Google Gemini): work with image
- Post (LinkedIn): uses LinkedIn
- Record (Airtable): create
Services it uses
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 (13)
- Aggregate
n8n-nodes-base.aggregate - Schedule Trigger
n8n-nodes-base.scheduleTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent - Think Tool
@n8n/n8n-nodes-langchain.toolThink - Calculator
@n8n/n8n-nodes-langchain.toolCalculator - Wikipedia
@n8n/n8n-nodes-langchain.toolWikipedia - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - RSS Read
n8n-nodes-base.rssFeedRead - Limit
n8n-nodes-base.limit - Google Gemini
@n8n/n8n-nodes-langchain.googleGemini - LinkedIn
n8n-nodes-base.linkedIn - Airtable
n8n-nodes-base.airtable
From the author
Quick overview This workflow runs daily, reads the latest articles from The Verge RSS feed, uses Google Gemini to select and rewrite one story into an Airtable-ready record plus a formatted LinkedIn post, generates an image with Gemini, then publishes the…