Mar 13 • 😎 Share Your Builds
I automated an entire AI newsletter pipeline — here's how
I automated an entire AI newsletter pipeline from scratch. Here's exactly how I built it.
The problem: AI moves too fast to curate manually. New models, papers, tools — every single day. So I built a multi-agent system that does it all without me.
Here's the full pipeline:
→ Scrapes hundreds of articles from RSS feeds across the web
→ Kills duplicates from the last 4 weeks automatically
→ Fetches trending GitHub repos in AI
→ Monitors YouTube & filters ONLY actual AI content
→ Curates & ranks everything with AI
→ Writes the full newsletter
→ A Reviewer Agent reads it, finds issues, sends it back for fixes
→ Repeats until it meets quality standards
→ Delivers a clean editorial email — automatically
The thing that surprised me most building this:
The Reviewer Agent flagged its own content as "unprofessional" and sent it back for rewrites. Twice. Without me asking.
That's when I realized this isn't just automation, it's an actual agentic loop. The system holds itself accountable.
Key lessons if you want to build something similar:
- Start with the curation layer first, formatting is easy but finding signal is hard
- Deduplication across weeks is underrated, readers notice repeats immediately
- A reviewer agent is worth adding even if it slows the pipeline down
What are you all automating with agents right now?
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I automated an entire AI newsletter pipeline — here's how
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