Autonomous Niche Blog Generation Engine
An autonomous content pipeline that monitors RSS feeds, filters trends through a contextual RAG database, and ships relevant daily blog posts.
Project Description
An end-to-end, fully autonomous content pipeline that monitors industry RSS feeds, filters trending topics against a personalized contextual database, and generates highly relevant daily blog posts across multiple platforms.
Problem
Maintaining a consistent, authoritative daily blog demands huge amounts of manual research, trend monitoring, and writing. Producing high-quality, up-to-date content every day for multiple platforms is an operational bottleneck that drains time away from core engineering.
Solution
I engineered an automated daily workflow in n8n. On a scheduled trigger it connects to five industry RSS feeds to pull the latest trends, then filters that raw signal through a reactive contextual database (Supabase + pgvector) that acts as the system’s "brain," scoring incoming news against a specific technical context to separate relevance from noise. Once the optimal topic is isolated, the AI engine generates a complete, deeply contextualized post and auto-formats and deploys it to the target platforms.
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