Free Lesson
Build a Self-Improving Agent Loop
30 min
Oct 5, 2026 10:00 AM
What you'll learn
Capture failures in a form the system can use
Log errors with enough structure that they can drive a change automatically.
Feed evaluation results back into behaviour
Close the loop so results from last week change how the agent acts today.
Prevent a loop reinforcing the wrong thing
Add the guard that stops a feedback system optimising into a corner.
Why this topic matters
An agent that logs its own failures and adjusts is a different thing from one that repeatsthe same mistake for months. You do not need retraining to get there, you need afeedback path from evaluation back into behaviour. Built carelessly, that same pathreinforces the wrong thing, so the design matters.
