Lesson 1457 of 1596
Logging Agent Runs So You Can Debug Them Later
Capture decisions, tool inputs, and outputs in a replayable log.
Creators · Agentic AI · ~7 min read
The premise
You cannot debug an agent you cannot replay. Structured logs of every step are the difference between fixing a bug and shrugging.
What AI does well here
- Emit a structured event per tool call (input, output, latency).
- Reconstruct a session from the event log alone.
What AI cannot do
- Tell you which step was 'wrong' without your judgment.
- Log information that was never captured at runtime.
Practice this safely
Use a small project example from your own work. The useful move is to compare the AI's draft against your goal, sources, and constraints before you trust it.
- 1Ask AI to explain logging in plain language, then underline anything that sounds uncertain or too broad.
- 2Give it one detail from "Logging Agent Runs So You Can Debug Them Later" and ask for two possible next steps plus one reason each step might be wrong.
- 3Check trace against a trusted source, teacher, adult, expert, or original document before you use it.
End-of-lesson quiz
Check what stuck
10 questions · Score saves to your progress.
Tutor
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