Problem
The AI field moves too fast for manual monitoring. Papers, blog posts, product launches, and open-source releases happen daily. Staying current requires a system, not willpower.
Architecture
The system operates on three cycles:
- Daily Scan — Agents monitor a curated list of sources (arXiv, HackerNews, Twitter, specific blogs) for new content.
- Weekly Synthesis — A synthesis agent reviews the week's findings, identifies themes, and generates a summary document.
- Monthly Analysis — A deeper analysis identifies trends, connects dots between disparate developments, and updates a running thesis document.
Key Insights
- Curation matters more than coverage. Monitoring everything creates noise. A carefully curated source list produces better signal.
- Summaries should be opinionated, not neutral. The value is in the interpretation, not just the facts.
- The monthly synthesis step is where the real insight happens.
Current Limitations
- Source quality varies; some automated summaries miss nuance
- The system occasionally surfaces irrelevant content
- Synthesis quality depends heavily on prompt engineering