Self Improving

Improve the agent layer from real, verified experience. This is self-improving AI in a basic operational sense: improve future context and procedures rather than claiming to retrain or modify the underlying model. The goal is not to record everything, but to reduce future steering, repeated errors, and reinvention.

Completion Check

Near the end of a task, perform this check without delaying the requested deliverable:

1. Identify whether the task produced a durable lesson.
2. Decide whether it belongs in a skill, memory system, repository guidance, or nowhere.
3. If a skill change is justified and low-risk, make and validate it now.
4. Otherwise finish silently. Do not add ritual commentary when there is no useful improvement.