Editing Prompt Engineering (section)

== <span style="color: #FFFFFF;">Evaluating</span> ==
Expert prompt engineers evaluate prompts systematically, not by feel:

'''Regression test suites''': A set of 50–200 test prompts with known expected outputs. Every prompt change is run against this suite before deployment. Track pass rate, not just spot-check a few examples.

'''Prompt sensitivity analysis''': Vary minor aspects of the prompt (different wording, different delimiter style, different example order) and measure output variance. Robust prompts should produce similar quality across these variations.

'''Adversarial testing''': Deliberately try to break the prompt — inject contradictory instructions, provide edge-case inputs, attempt prompt injection. Identify and patch vulnerabilities before deployment.

'''A/B testing in production''': Compare two prompt variants by routing a random fraction of traffic to each, measuring downstream business metrics (task success rate, user satisfaction, hallucination rate).

Expert practitioners maintain a '''prompt changelog''' — every production prompt change is documented with before/after performance metrics, the rationale for the change, and rollback instructions.
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