Definition
Plain language
In SIA, the AI module that reads what just happened and decides whether to rewrite the agent's code or retrain its weights.
As stated in the literature
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).
Why it matters: It separates the question 'how should this system change?' from 'should we change the code or the weights?', enabling automated self-improvement loops.
For example, after a run where the agent kept missing a tool call, Feedback-Agent decides whether to edit the prompt template that wires up that tool or to launch a fine-tuning job on the failure cases.
Heard on the show
“And then the third role, the Feedback-Agent, which is the brain of the loop.”Episode 088 — Two Levers for Self-Improving AI: When Rewriting Code Isn't Enough