Stop rerunning failed AI tasks. Perform a run autopsy.

When an agent fails, people change the prompt randomly and try again. That hides the cause and burns more time and tokens.

Capture six things:

1. Expected outcome.
2. Actual outcome.
3. The first point where they diverged.
4. Evidence: prompt, tool calls, outputs, errors, missing files.
5. Failure class: context, instruction, tool, permission, model or validation.
6. Smallest fix and one test.

Copy this diagnostic prompt:

"Do not solve the task again. Audit this failed run. Find the earliest divergence between expected and actual. Classify the root cause and quote evidence from logs. Propose the smallest fix, one regression test and what must remain unchanged."

Rerun only the failed step. If the failure repeats, improve the instruction or tool instead of restarting the entire workflow.

Save every autopsy. After five failures, the patterns become your best reliability roadmap.

#AIAgents #AIWorkflow #Debugging