Quick answer
How to test an AI-generated app before launch
AI-generated code fails in a particular way: it usually compiles, often looks plausible, and breaks exactly where nobody looked — a route that never renders, a form that submits nowhere, a blank screen behind a green build.
That is why testing the source is not enough. The checks that matter run against the rendered app: the pixels and flows your users will actually meet.
- 1
Run it, don’t read it
Reading generated code catches style problems, not launch problems. Load the app in a real preview and click the primary flow end to end before judging anything else.
- 2
Check the rendered result
PromptUI’s verification runs against the rendered app: does the page paint, is the content visible, do key elements exist. Findings are reviewable, not a silent score.
- 3
Fix findings where they were found
Describe each fix in plain language and confirm it in the same preview that flagged it — the loop stays honest because the check and the fix look at the same surface.
- 4
Deploy, then re-check the live URL
A preview passing is not the finish line. Deploy and confirm the live URL behaves the same — PromptUI keeps the deployment and its checks in one place.
- 5
Keep the proof
PromptUI records the checks each build passed on a proof page you can share, so “tested” is inspectable later — by you, a client, or a teammate.
Bring your app to PromptUI
Import the repository, watch the verification run on the real rendered app, and go from repo to launched.
Import from GitHub →Already signed in? Open the import dialog
Common questions
- Is this the same as unit testing?
- No — unit tests exercise functions; this verifies the rendered app a user meets. Both have value; for AI-generated apps the rendered check catches the failures that matter at launch.
- What if my app was built in another tool?
- Push it to GitHub and import it into PromptUI. The verification, deploy, and launch steps work the same on imported projects.