Building with AI agents in the open

Why prompt files, skill definitions, and agent instructions aren't enough for production agent systems — and what actually works.

The entire eval industry assumes you can fine-tune a model. What happens when your agents are prompt-based, the problems are multi-dimensional, and the optimization surface is language?

What happens when you give AI agents the same structure as a real product org — roles, sprints, quality gates, feedback loops — and let them run on their own.

A three-stage pipeline that forces structured reasoning, kills premature convergence, and produces synthesis no single source contains.