Five steps. You do one of them.
Paste a URL. The rest runs without you.
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You give us a URL and an age group
Paste the address. Pick who actually uses this: a 68-year-old opening it for the first time, a 35-year-old power user, a 14-year-old. If you are not sure, we run the three most likely and tell you which one struggled.
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We map the real flows
We crawl the live product, not a spec. Signup, checkout, search, upload, settings, whatever exists. We list the flows we found and the ones we could not reach, so you know the coverage before anyone tests anything.
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AI personas drive the product
Each persona runs the flows in character. Slower reading, larger tap targets needed, unfamiliar with the pattern, or fast and impatient. They record every click, every wait, every dead end. They are grading, not writing. That separation is the point.
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Real humans of that age confirm it
We match human testers to the same age group and give them the same flows, without showing them what the agents found. Agreement means it is real. Disagreement is written into the report as disagreement, not smoothed over.
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One report, ordered by what to fix first
UI and UX friction, accessibility, security exposure, broken flows, performance, conversion blockers. One document. Severity labels. Each finding has the step it happened on and the evidence.
Your AI wrote the code. Nobody checked if anyone can use it.
Cotesty runs your app through AI personas matched to your real users' age group, then real human testers of that age, and hands you one report of everything broken.
Every statistic on this page links to its primary source. That is the same standard we hold our reports to.