feedback

Agents doing judgement-heavy work need a way to learn from the people whose judgement they are trying to approximate. 1. Principles beat rules, because rules overfit and principles transfer. 2. Agents need to learn how to learn, or feedback turns into brittle exceptions. 3. The feedback loop has to live where the team already works, or people stop participating.

Feedback is not learning unless the agent can generalize

When an agent does work repeatedly, the prompt starts to become the thing you review. If those instructions determine production behaviour, they should live in a repo, with version history, review, and rollbacks. The daily learning agent does not directly change production behaviour. It opens a PR showing what feedback it reviewed, what principle it thinks should change, and the exact diff to the skill file. A human reviews it like any other change.