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Testing an AI Tool Before Committing Print

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Practical evaluation.

BUILD A TEST SET

Ten to twenty representative tasks from your actual work.

Include easy ones, difficult ones, and edge cases.

INCLUDE TASKS WHERE YOU KNOW THE ANSWER

That is how you detect errors.

WHAT TO ASSESS

Accuracy Whether output needs heavy editing Consistency across attempts How it handles being uncertain Speed

THAT FOURTH POINT

Ask something it cannot know. Does it say so, or invent an answer?

That tells you a great deal.

WHAT TO TRY

The same task several times, to see variability Deliberately ambiguous requests Requests outside its stated purpose

COMPARE PROPERLY

Same tasks, same prompts, different tools.

WHAT NOT TO DO

Judge from a demonstration Judge from one impressive result Judge from marketing

HOW LONG TO TEST

Long enough to see it fail. If you have not seen it fail, you have not tested it.


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