Six questions before calling an AI correction method useful
Rajath Vanakudare — October 15, 2026
An original evaluation planning aid, prepared with AI assistance.

1. Correct against what? Identify the reference and its limitations.
2. Compared with what? Include matched allocation controls and simple end-to-end alternatives.
3. Which errors are reached? Report the selection rule's coverage of original errors.
4. What gets worse? Retain correct-to-incorrect changes and failed responses.
5. At what cost? Distinguish calls, tokens, latency, retries, and full experiment spending.
6. How far does the evidence travel? State the dataset, models, repetitions, uncertainty unit, and known exclusions.

This checklist is not a validation certificate or a substitute for task-specific evaluation.
Article: https://tomorrowunpacked.com/writing/consistency-is-not-correctness/