How do you make AI testing trustworthy—and fast? We’ll unpack Drizz’s approach to interpretable prompting (GEPA) and a decision-tree policy that tames hallucinations for deterministic results. Then we’ll show how dynamic caching (screen/command-level) turns repeated flows into sub-second lookups, driving measurable gains in accuracy, time, and cost. Expect real Android case studies, live flows, and practical patterns you can use to harden your CI without locator hell.