When AI outputs contain errors, systematic debugging is essential...
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Practice prompt
Re-write your Debugging AI Outputs: A Systematic Approach prompt with explicit success criteria and critique instructions.
Try this now
Run the Analyzer pack twice (manual vs. AI) and compare the Overestimation Δ.
Common pitfall
Skipping reviewer verification time hides the real cost of rework and hallucinations.
Key takeaways
- •Run a manual vs. AI comparison to see actual lift.
- •Capture Overestimation Index and micro-TLX together.
- •Document what “good” looks like so teams can replicate it.
See it in action
Drop this into a measured run—demo it, then tie it back to your methodology.
Next Steps
Ready to measure your AI impact? Start with a quick demo to see your Overestimation Δ and cognitive load metrics.