Evaluate a change
Tell whether a new version is better before it reaches anyone.
Changing a brief changes behaviour in ways you cannot predict by reading it. Evaluation is how you find out what changed.
Build a case set
A case is an input and what a good answer contains. Twenty real cases beat two hundred invented ones.
Run it against both versions
Run the case set against the current version and the candidate. The report shows per case results, not just a score, because the average hides the regression you care about.
Read the failures
A case that got worse is more informative than the aggregate. Read its trace before changing anything else.
Promote
Promote the candidate once it wins on the cases that matter and loses nothing important. Record why, so the next person can tell what "better" meant.
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