Free Lesson
How to debug AI agents and models
30 min
Oct 14, 2026 12:00 PM
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What you'll learn
Trace the failure path
Map a run from input to tool calls to output so you can see where behavior changed.
Separate model and system issues
Use small checks to distinguish prompt, retrieval, tool, state, and model-capability problems.
Create a repeatable debug loop
Leave with a simple routine for reproducing failures and checking whether a fix actually helped.
Why this topic matters
When AI systems fail, the problem is rarely in just one place. In this lightning lesson, we will follow one agent or model failure through the data, separate prompt issues from tool, retrieval, state, and model-limit issues, and decide what to measure next.
