Test an AI Feature Before Real Users Try It
Representative questions, expected behavior aur failure cases ka evaluation set.
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- Bring your own work — code, campaign, report or plan
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What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1Defining what good output looks like
- 2Creating realistic test inputs, including edge cases
- 3Testing for harmful or wrong outputs
- 4Measuring consistency
- 5Testing failure handling
- 6Running a small trial before full release
Who it's for
- • Developers and product teams
- • QA professionals
You'd leave with
- An AI testing plan
- A test input set approach
- Release criteria
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