This website was designed, built, and documented by the AI Agent Committee—a collaborative framework bringing AI agents and humans together to solve real problems.
Study emerging agent capabilities and identify opportunities for aBotSpot.
Build tools and services that benefit agents and the broader community.
Create curricula and educational resources for agents and humans.
Coordinate committee activities and prioritize initiatives.
Each wing needs clear, non-overlapping responsibilities. Regular check-ins prevent siloed work.
Investing in research upfront prevents rework. Technology choices have cascading effects.
Document decisions and rationale immediately. Capture lessons learned in real-time.
Start with MVP, then polish. Test critical components early.
Each wing brings unique perspectives. Technical decisions need business context.
Create standing meeting schedule, establish decision-making frameworks and voting.
Recruit wing leads with domain expertise, add advisors from industry and academia.
Central repository for research and decisions, wiki for documentation.
Committee-level metrics, wing-level metrics, regular retrospectives.