Is your AI-built MVP ready for customers? A 12-check launch plan

Your first version looks convincing. You can show the dashboard, create a sample record, and click through checkout. The harder question is whether someone who has never seen your app can do the same thing tomorrow. This AI MVP production checklist is for that gap, whether you started with Lovable, Bolt, Replit, Base44, or another builder.

What does production-ready mean for an MVP?

A production-ready MVP reliably delivers its narrow promise to the intended customers, with appropriate access controls and a workable recovery plan. It does not need every feature on your roadmap, or infrastructure designed for an audience you do not have yet.

Treat the following checks as release evidence. For each one, record who tested it, which URL and version they used, and what happened. Mark an untested item as unknown. A clean-looking interface or an AI message saying the issue is fixed is not a test result.

Can a new user finish the main journey?

A new customer should reach the product’s useful result without your intervention. Test the entire journey on the published app with an account that has no existing permissions, saved session, or sample data.

• Check 1 — First use: Sign up, confirm the email if required, create the first useful item, leave, and return. Record every instruction you had to explain verbally; improve the flow or its wording.
• Check 2 — Account recovery: Sign out, reset the password where supported, follow an expired link, and return after a session ends. Check that recovery lands on the live domain and that the customer can continue their work.

Can users access only the data they should?

Authentication identifies a user; authorization determines what that user may access. A working login does not establish that customer records, uploaded files, or administrator actions are protected.

For apps using Supabase, its row-level security documentation explains how database policies restrict row access. Have the implementation reviewed against your actual ownership rules. Other backends need equivalent checks using their own permission model.

• Check 3 — Customer isolation: Create two ordinary users, each with a private record. Ask a developer to verify that changing a record identifier in a request cannot expose or change the other user’s record.
• Check 4 — Privileged actions: Confirm on the server that an ordinary user cannot grant themselves a paid plan, invite administrators, or access private uploads by guessing a URL. Repeat the check while signed out.

Do payments and integrations survive failures?

A reliable integration handles failure and retries without losing work or granting the wrong access. Verify the state stored by your application, rather than judging success from the checkout animation.

If you use Stripe, its webhook documentation describes asynchronous payment events, signature verification, and duplicate deliveries. Your integration should verify incoming events and avoid fulfilling the same event twice. The precise events depend on your payment flow.

• Check 5 — Payment state: Test successful, failed, canceled, and delayed payments in the provider’s test environment. Confirm that access changes only when the appropriate verified server-side event arrives.
• Check 6 — External failure: Make an email provider, AI service, or other required integration fail in a controlled test. The user should see an understandable outcome and have a safe way to retry without duplicate charges or duplicate records.

Will the live app keep the right data?

The published app must point to the intended production database and use persistent storage for customer files. A populated preview does not establish that the live app has the same setup.

• Check 7 — Environment separation: Identify which database each environment uses. Confirm that testing a feature cannot change live customer records, and document how approved schema changes reach production.
• Check 8 — Persistence and recovery: Save a record and upload a file, then test their availability after a controlled restart or deployment. Identify the backup owner and rehearse recovery using a safe copy before relying on the process.

Replit explicitly documents separate development and production databases. For any builder, ask the same practical questions: where is the live data, who can change it, and how would we recover it? Check account capabilities rather than assuming every platform behaves alike.

Can you detect a failure and recover a release?

Someone needs to notice a failed customer journey and know what to do next. Error visibility and a recovery procedure make a small launch much easier to operate.

• Check 9 — Useful error evidence: Trigger a harmless test failure and find the corresponding server error or failed request. Record the time and operation without logging passwords, private documents, or payment credentials.
• Check 10 — Release recovery: Identify the last known working code version, who can restore it, and which database changes it expects. Restoring code is not automatically a way to undo data changes; rehearse both procedures separately.

Does the product work outside your demo setup?

A customer release must work on the devices and network conditions your first users actually have. Check the product with realistic content, rather than only short sample names and a fast office connection.

• Check 11 — Everyday usability: Complete the main journey on a narrow phone screen and with keyboard navigation. Try long names, empty lists, validation errors, and interrupted uploads. Make loading and failure states understandable.
• Check 12 — Intended launch load: Agree on the initial audience and test a representative amount of data and concurrent activity. Observe response times and resource usage. Set a spending limit or alert where supported, and define when someone should investigate.

What should you fix before inviting customers?

Fix broken core journeys, incorrect payment access, and inappropriate data access before expanding the audience. Schedule optional features and cosmetic improvements around those priorities.

Consider a hypothetical appointment app: booking works for the founder, but a new user cannot recover their account, a failed payment still creates a confirmed booking, and two tabs can reserve the same slot. The next release should repair those paths. Adding chat or redesigning the dashboard would not resolve the launch blockers.

If debugging itself has stalled, use the Lovable and Bolt fix-loop guide. If the next step involves mobile, review the existing Lovable App Store guide. For hands-on help, book a call about taking your MVP to production. Bring the app link and your failed checks; we can scope the next release around evidence.