Automated blog generation with Gemini AI, GitHub & Jekyll publishing
UnknownWhat this workflow does
This AI workflow has 11 nodes and runs on a schedule (every day at 09:00). Along the way it connects Wikipedia, Google Gemini Chat Model, GitHub and Google Sheets and 1 more.
How it runs
Trigger: On a schedule (every day at 09:00).
- Get Topic from Google Sheet (Google Sheets): uses Google Sheets
- Extract Blog Title (Edit Fields (Set)): sets 1 field: topic
- Tavily: uses Tavily
- Summarize Search Results (Code): runs custom JavaScript code
- Google Gemini Chat Model: uses Google Gemini Chat Model
- Generate Blog with Gemini (AI Agent): runs an AI agent
- Fetch Wikipedia Context (Wikipedia): uses Wikipedia
- Prepare File for Commit (Edit Fields (Set)): sets 3 fields: filePath, fileContent, commitMessage
- Commit Blog Post to GitHub (GitHub): work with file
- Mark Topic as Done in Sheet (Google Sheets): update
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that @tavily/n8n-nodes-tavily is verified or supports 3.0 (used in Tavily Web Search).
Nodes used (9)
- AI Agent
@n8n/n8n-nodes-langchain.agent - Wikipedia
@n8n/n8n-nodes-langchain.toolWikipedia - Edit Fields (Set)
n8n-nodes-base.set - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Code
n8n-nodes-base.code - GitHub
n8n-nodes-base.github - Tavily
@tavily/n8n-nodes-tavily.tavily - Schedule Trigger
n8n-nodes-base.scheduleTrigger - Google Sheets
n8n-nodes-base.googleSheets
From the author
📝 Use Case This n8n workflow automates the creation and publication of technical blog posts based on a list of topics stored in Google Sheets. It fetches context using Tavily and Wikipedia, generates Markdown-formatted content with Gemini AI, commits it to a…