My AI-generated app looks finished. How do I tell if it is ready to launch?

Start with the launch promise, not how many screens exist

A product can have a dashboard, settings page, payment button, and AI chat without completing its core job. Write the smallest honest release promise: who can use it, what they can finish, and which information or decisions they can rely on afterward. The right proof depends on that consequence. A private prototype for one tester is not the same release as a service accepting customer payments or storing sensitive information.

Exercise the real path without replacing the hard part with a fixture

Create an account or use the intended access path, submit representative input, receive the promised output, perform the next meaningful action, and reopen the application. Check that the result came through the actual application services and expected provider mode. Local fixtures are useful for development and screenshots, but they do not prove that live generation, persistence, or deployment works. Record which environment and provider were tested.

Check ownership and persistence where they are enforced

A screen hiding another user's project is not by itself proof that the server rejects access. A successful response is not proof that the same state survives a restart. Verify the important reads and writes under the relevant identity, confirm that the stored owner is correct, and reopen through a fresh session. Where a feature changes durable state, check the application's real permission and write path. If you cannot verify an important boundary, label it unproven rather than launch-ready.

Ask what happens when the happy path stops halfway

Choose failure checks based on the actual workflow, not an enormous generic checklist. Repeating a saved action, losing a provider response, or leaving a page mid-operation can expose a partial result that a clean demo misses. Payment tests should use the provider's supported test environment and verified application handling, not a real charge made solely for a screenshot.

• Does retrying create duplicate state or repeat a consequential action?
• Does a provider failure preserve the user's work?
• Can users distinguish proposed, processing, failed, and completed results?
• Can the app recover after restarting or deploying a new revision?
• Is there an appropriate recovery or rollback path for the data involved?

Narrow the launch honestly without removing the product's real value

Defer optional polish and later audiences before cutting the one capability the product is meant to deliver. If useful personalized guidance is the main promise, a beautiful static example is not an equivalent first release. You may choose a smaller private trial, but make that change explicit. Where security, legal, financial, or other specialist consequences apply, obtain appropriate review; an architecture document is not a substitute for that review.

An architecture package and a working implementation are different outcomes

Driftbreak produces product and implementation direction. A ready package does not establish that someone subsequently built and deployed the system correctly. The approved Terraria case makes that distinction explicit: architecture and package delivery are observed; subsequent mod completion and performance improvements are not verified. Use the same evidence discipline for your own launch claims.

Read the case study and its outcome limits

Read Driftbreak's trust boundaries