• Running 50 AI-driven “users” through your app’s signup and onboarding flow to see where most got stuck or dropped off, before real users ever try it
• Getting qualitative feedback from an AI user who narrates their thought process (“I expected this button to do X, but it did Y, which is confusing”) for each step of a task
• Testing different variants of a design (AI users might reveal that version B is more intuitive) cheaply and quickly
• Using AI testers to perform regression checks on your app after each update (ensuring key tasks can still be completed) without maintaining a full QA team for it

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