Our standard

How we prove your app works

AI can write software quickly. The hard part — the part with a long public record of failure — is knowing it actually works, and that it keeps working with your real data in it. This page describes the checks every app we ship has to pass. They are not aspirations; they are gates the build cannot get through.

The test suite is written from your blueprint, not by the builder

Your discovery conversation becomes a blueprint: what the app stores, who may do what, and concrete acceptance scenarios — “a member books a session,” “an expired pass cannot book,” “staff see the roster, members see only their own.” Those scenarios compile into an executable test suite that is held out from the system that builds your app: the builder cannot read the tests it will be judged by. It can't teach to the test, and it can't grade its own homework. We adopted this rule after watching a builder sincerely report “all checks passed” — and fail three scenarios on the independent suite.

The restart drill

The most common failure of AI-generated apps is quietly keeping your data in memory: everything works in the demo, then a restart wipes it. Every app we build is restarted mid-suite, and the suite continues on the other side — the bookings made before the restart must still be there after it. An app that only remembers things while it happens to be running cannot pass.

Production lockdown

Test hooks are how demo apps leak. Before an app goes live we restart it in production mode and verify its test endpoints are gone — they must answer “not found,” not “forbidden.” Sign-in and roles are part of every app from day one, and the suite includes denial checks: the wrong person acting on the right data is a failure.

It keeps proving itself after launch

Once your app is live, we check its health every few minutes, and where its journeys are switched on, the same acceptance journeys run against production as hidden synthetic users — “can a member actually book right now,” not just “is the server up.” When a check fails, an incident is opened in plain language on your status page, and an app that is down is restarted on its own. The goal is simple: we learn about problems before you do.

What we don't claim

No test suite proves an app perfect, and we won't pretend otherwise. What we promise is narrower and checkable: your app ships against an independent test suite compiled from a blueprint you approved, it demonstrably survives restarts, its test machinery is absent in production, and it is monitored once it is live — with a human accountable when something breaks. If you'd like to see a build's checks run, ask: support@pariter.ai.