An AI-built app launch checklist you can actually run

Prove the main journey end to end

Choose one realistic visitor journey and follow it from a fresh browser session. For a waitlist, that means opening the public page, entering a valid email, seeing a result and confirming that exactly one record was saved. For another app, the proof might be a persisted project or a delivered confirmation.

Repeat the action. If it should be idempotent, a retry must not create a second record or charge. Refresh the page and inspect the saved result from an independent view. This catches interfaces that display success before the backend has accepted the operation.

The example checklist below is for a simple waitlist. Adapt its evidence column to the actual backend you use; it is not a claim that a specific database or service is configured.

Scenario             Expected evidence
Valid signup         One persisted record
Same email again     No additional record
Invalid email        Action rejected; useful field error
Backend unavailable  Retry message; no false success
Rapid repeat submit  No duplicate operation
Analytics unavailable Signup still succeeds

Check access and deployment assumptions

Confirm that secrets stay on the server and that users can only read or change data they are allowed to access. If the app has accounts, try the same resource with two different test users. Hiding a button is not server-side authorization.

Run a production build and verify the deployed environment variables. Check that the public frontend calls the intended backend instead of localhost or a temporary test service. Keep a known working deployment or a documented way to restore it.

For apps handling payments or sensitive information, this checklist is only a starting point. Add domain-specific review and test the relevant service's failure paths before inviting real users.

Check the interface when things go wrong

Test empty data, long content, a slow request, an invalid field and a server error. The visitor should know what happened and what to do next. Loading indicators must settle into a result rather than spin indefinitely.

Use the page with a keyboard and at narrow widths. Make sure labels remain associated with inputs, focus is visible and error messages appear near the relevant control. A polished default screenshot cannot establish these behaviors.

• Primary journey tested with saved evidence.
• Duplicate and failed actions tested.
• Server authorization and environment variables reviewed.
• Mobile layout and keyboard navigation checked.
• Rollback or recovery steps recorded.

Verify the public page and measurement

Open the production URL outside your usual development session. Confirm HTTPS, expected redirects, a useful page title and a canonical URL. Public content should be readable in the returned HTML. Private pages must stay out of search results.

Count meaningful outcomes rather than button clicks. For a waitlist, the authoritative count is newly saved records; duplicates and simulated bot responses do not represent new subscribers. Test the measurement path while analytics is unavailable so an optional service cannot stop the product working.

Record the deployment date and known limitations. During the first week, review errors and real user feedback before expanding promotion. Use the checklist again after changing authentication, forms or deployment configuration.

Further reading

• W3C: easy accessibility checks