Prompt testing checks whether a prompt runs as intended and whether edits introduce unwanted behavioral changes. In a production lifecycle, it serves as regression testing: each automated case pairs an input with criteria for a valid output. section 11.3.3
Use two complementary checks:
- Manually validate basic behavior: confirm the prompt runs, variables resolve, and the output matches the downstream system’s expected format. section 11.3.3
- Automate cases that specify inputs and validity criteria. Rerun them after each prompt edit to reveal behavioral regressions. section 11.3.3
- Review version diffs alongside test results to see which edits changed outputs and assess whether those changes are acceptable. section 11.3.3
Probe a policy chatbot’s constraints
Test an HR policy prompt with requests framed as urgent and managerial, as well as roleplay or gradually escalating requests. Check whether precise scope limits and fallback instructions hold under this adversarial pressure. section 10.3.2
A small suite of realistic cases can catch regressions that spot checks miss. This regression practice is distinct from large-scale quality evaluation using structured scoring, model judges, or annotation pipelines. section 11.3.3
