Lesson 19: Verification, Evals and Knowing When the Job Is Finished
Two AI-generated solutions can look equally impressive: both have tidy code, polished screens and confident explanations. Yet one passes every defined acceptance check while the other fails when an unusual input appears. Which deserves trust, and why? The answer introduces verification: evidence that the delivered result satisfies the original requirements, not merely an attractive appearance.
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