THE TRAINER AND THE AGENTS

I did not plan to become a trainer. But here I am, 15+ projects in, with a system of AI agents I built from scratch. Each one shaped by the projects that tested them. 20,000 lines of methodology, a feedback loop that runs both ways, and a system that learns for itself and remembers what I learned even when I forget. Also, very stubborn sometimes, but that’s on me, and that’s why I keep refining how we work together.

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84 FEATURES ACROSS THREE DIMENSIONS

Most AI coding tools are built to reduce human involvement. DSM is built to make human involvement worth the time: the human and the AI produce better work together than either would alone, and what they learn carries forward.

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TAKE AI BITE: A FRAMEWORK FOR HUMAN-AI COLLABORATION

AI tools generate faster than humans can review. When the output exceeds what a person can meaningfully engage with, the collaboration quietly breaks: the human stops reading and starts clicking “approve.” The human in the loop becomes decorative, and what they actually bring, direction, judgment, style, goes missing from the work.

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TAKE A BITE

Deliver only what the reviewer can chew. Someone offers you a bite of a cookie. You take a bite the size you will enjoy. Too small and you won’t taste the cookie; too much and it will cause a lot of issues. AI collaboration works the same way.

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