Overview
Automated content curation workflow that aggregates AI/ML news from RSS feeds, filters content with custom scoring, generates LinkedIn posts via Gemini, and stores drafts in Notion. Eliminates 90% of manual research time for consistent professional content.
The Problem
Professionals struggle to maintain consistent LinkedIn engagement due to time-consuming content research and drafting. Manual curation leads to irregular posting and missed opportunities.
Technical Solution
System Architecture
- •Multi-RSS feed aggregation (like arXiv, TechCrunch, SyncedReview)
- •JavaScript scoring algorithm for relevance filtering
- •Gemini API for LinkedIn-style post generation
- •Notion database integration for draft management
Tools
n8n, Gemini 1.5 Pro, Notion API
Processing
Custom JS scoring + LLM generation
Output
Notion database entries
Trigger
Manual/Scheduled
Results & Impact
90%
Time saved vs manual research
3
Ready-to-post drafts/day, can be set to higher number
100%
Consistent weekly posting
Lessons Learned
Scoring Thresholds Matter
Initial false positives dropped 40% after adjusting keyword weights
Notion as a CMS
Database properties enabled easy draft status tracking