Definition
In SIA, the AI module that reads what just happened and decides whether to rewrite the agent's code or retrain its weights.
The meta-controller in the SIA self-improving framework that ingests scaffold source, full trajectories, and metrics, then chooses between scaffold edits and weight-update actions (including RL algorithm selection).