Summarize RSS articles with Gemini and OpenAI, send to Slack, and save TTS audio
Ready for 3.0What this workflow does
This AI workflow has 28 nodes and runs on a schedule (every day at 07:00). Along the way it connects Google Gemini Chat Model, Slack, OpenAI Chat Model and OpenAI and 1 more.
How it runs
Trigger: On a schedule (every day at 07:00).
- Fetch RSS: Roomie Feed (RSS Read): reads an RSS feed
- Fetch RSS: Note Work Tips (RSS Read): reads an RSS feed
- Fetch RSS: Lifehacker Feed (RSS Read): reads an RSS feed
- Fetch RSS: Note Productivity (RSS Read): reads an RSS feed
- Fetch RSS: Note Efficiency (RSS Read): reads an RSS feed
- Fetch RSS: Note Cost Performance (RSS Read): reads an RSS feed
- Merge: merges the data from its input branches
- Filter: Articles from Last 24 Hours (Code): runs custom JavaScript code
- Transform: Normalize Article Data (Edit Fields (Set)): sets 3 fields: title, summary, link
- Aggregate: combines items into one
…plus 13 more steps. See the full node list below.
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 (16)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - RSS Read
n8n-nodes-base.rssFeedRead - Merge
n8n-nodes-base.merge - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - HTTP Request
n8n-nodes-base.httpRequest - Code
n8n-nodes-base.code - Slack
n8n-nodes-base.slack - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Aggregate
n8n-nodes-base.aggregate - Split Out
n8n-nodes-base.splitOut - Edit Fields (Set)
n8n-nodes-base.set - OpenAI
@n8n/n8n-nodes-langchain.openAi - Google Drive
n8n-nodes-base.googleDrive
From the author
Who’s it for This workflow is designed for Japanese-speaking professionals, and learners who want to efficiently stay up to date with practical productivity, lifehack, and efficiency-related insights from Japanese content platforms such as blogs and media…