Free Lesson
Build a Self-Improving Agent Loop
30 min
Oct 13, 2026 7:00 AM
Virtual (Zoom)
In this video
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 repeats the same mistake for months. You do not need retraining to get there, you need a feedback path from evaluation back into behaviour. Built carelessly, that same path reinforces the wrong thing, so the design matters.
