Lesson 1802 of 2244
AI Prompt Engineer Evaluation Sets: Designing Cases That Catch Regressions
AI can draft AI prompt-engineer evaluation cases and scoring rubrics, but the choice of what counts as success is a product decision.
Adults & Professionals · Careers & Pathways · ~6 min read
The premise
AI can draft an AI prompt-engineer evaluation set with happy-path cases, edge cases, and adversarial cases, each with a rubric.
What AI does well here
- Produce edge cases by varying one dimension at a time from a happy-path seed
- Draft rubric criteria with concrete pass and fail examples
What AI cannot do
- Decide which failure modes are acceptable in production
- Score live model output without a human reviewer in the loop
Key terms in this lesson
Practice this safely
Use a real but low-risk workflow from your day. Treat AI as a drafting and organizing layer, then verify the output before anyone relies on it.
- 1Ask AI to explain evaluation sets in plain language, then underline anything that sounds uncertain or too broad.
- 2Give it one detail from "AI Prompt Engineer Evaluation Sets: Designing Cases That Catch Regressions" and ask for two possible next steps plus one reason each step might be wrong.
- 3Check regression testing against a trusted source, teacher, adult, expert, or original document before you use it.
End-of-lesson quiz
Check what stuck
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