What makes an AI agent coachable?
A practical view on what can actually be improved in an agent, and what usually needs to change around it.
Practical writing about AI agents, coaching, systems, and what actually improves performance in the real world.
Essays, workshop notes, practical frameworks, and hard-earned lessons about building and improving AI agents. The emphasis is on clarity, operational usefulness, and better decisions — not recycled hype.
A practical view on what can actually be improved in an agent, and what usually needs to change around it.
A sharper look at the difference between model quality problems and system design problems.
Field notes, experiments, and lessons on coaching agents, improving systems, and building trustworthy operations.