Atlas AgentAtlas
The monitoring layer for a self-improving science OS.
Atlas scans the external world and the product's own weak spots. It should learn like the YC self-improving company pattern: observe failures, classify causes, patch the system, and report what improved.
08:30science scout
09:10traffic report
24hproduct loop
Daily Product Scout
Scan products, papers, patents, labs, startups, and funding signals for what AISci should learn next.
Agent OpsSelf-improvement loop
Monitor failed queries, missing tools, missing data, weak prompts, and code gaps; then recommend or patch improvements.
Analytics · GrowthTraffic report
Daily Vercel Analytics summary: visitors, page views, top pages, referrers, and one growth action.
Agent outputs
- Daily science/product brief with evidence and source links.
- 24-72 hour implementation backlog.
- Launch readiness check against 2026-07-21.
- Self-improvement log with root cause and exact patch recommendation.