Templates / Classify AI news from RSS and create LinkedIn carousels with Gemini and PostNitro

Classify AI news from RSS and create LinkedIn carousels with Gemini and PostNitro

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by Muneeb Awan ✓ · 3 views · created 2026-08-25 · Social Media, AI Summarization

Unknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 13 nodes and runs on RSS Feed events. Along the way it connects Gmail, Google Gemini Chat Model and Postnitro Ai (community).

How it runs

Trigger: On RSS Feed events.

  1. Limit: keeps the first few items
  2. Initial LLM Processing Chain (Basic LLM Chain): sends a prompt to an LLM, with model: Gemini LLM Chat Model; output parser: Parse as Structured Output
  3. If: checks a condition and branches into true / false
  4. Secondary LLM Processing Chain (Basic LLM Chain): sends a prompt to an LLM, with model: Gemini Chat Model Secondary; output parser: Secondary Output Parser
  5. Draft AI Post from URL (Post Nitro): ai from article
  6. Schedule Post Drafting (Post Nitro): work with scheduled post
  7. Send Draft Notice Email (Gmail): uses Gmail
  8. Send Post Confirmation Email (Gmail): uses Gmail

Services it uses

GmailGoogle Gemini Chat ModelPostnitro Ai (community)

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 @postnitro/n8n-nodes-postnitro-ai is verified or supports 3.0 (used in Draft AI Post from URL, Schedule Post Drafting).

Nodes used (8)

From the author

Quick overview This workflow polls the TechCrunch RSS feed every minute, uses Google Gemini to classify and analyze AI-related articles, then sends relevant stories to PostNitro to generate a carousel draft and schedule a LinkedIn document post, with Gmail…

Excerpt from Muneeb Awan's description on n8n.io.

View the original on n8n.io → Check your own copy

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