Kaizen Harness is a set of patterns for the system around an AI model: trajectory logging, verification, self-healing, and multi-model council debates.
The idea is simple. When an agent makes a mistake, you don't rerun the prompt. You change the system so that class of mistake stops happening.
I kept hitting the same problem: AI agents fail silently, claim success without evidence, and repeat mistakes they already made an hour ago. The model wasn't the issue. The system around the model was.
The four patterns
Each pattern is a single bash script or TypeScript file with a README. No framework, no install, copy what you want.
