ab testing

A diagnosis question with five plausible causes. Strong candidates rank them by likelihood and name the cheapest check for each instead of reciting all five.

A classic experiment-design question with AI-specific traps: novelty that fades, quality that differs by segment, and a cost line that classic A/B tests never had.

Rate each quality separately, on your users' own prompts, with side-by-side human comparisons. Use automated prompt-adherence checks as the regression gate and kept-image rate as the product outcome.