Turn an AI-built prototype into a production product.
A prototype can prove that the workflow is possible. Production has a different job. It has to protect user data, survive real traffic, support releases, handle errors, and keep changing without collapsing under early shortcuts.
Expected outcomes
- A production readiness map for the existing prototype.
- Clear recommendations on keep, refactor, replace, or rebuild.
- Launch sequencing for auth, data, payments, integrations, monitoring, and support.
- A delivery path with the same engineers available after launch.
Best fit
Founders with a working demo
You have something clickable, maybe even impressive, but you do not yet know whether the architecture, data model, and deployment path are ready for customers.
Teams using AI app builders
You used Lovable, Bolt, Replit, v0, Cursor, Bubble, or a similar workflow to move fast and now need a real product engineering review.
Operators preparing for launch
Payments, onboarding, support, permissions, analytics, and release management now matter as much as the screens themselves.
What usually breaks
The happy path is overbuilt and the edge cases are missing
AI tools are good at producing visible functionality. They are less reliable at finding the awkward states users hit in production.
Data and permissions are too loose
Early prototypes often blur user boundaries, admin access, private records, API keys, and integration credentials.
The launch path is improvised
Hosting, environments, monitoring, backups, migrations, and rollback paths need decisions before real users depend on the system.
How LOJI helps
Audit the prototype
We review the user flow, codebase, data model, integrations, deployment setup, security exposure, and support risks.
Separate rebuild from hardening
Not every prototype needs to be thrown away. We identify what can stay, what needs refactoring, and what should be rebuilt before launch.
Ship the production path
LOJI can handle the hardening work, build missing product surfaces, prepare deployment, and stay attached after launch.
Common questions before the first call.
Can LOJI work with a prototype built in an AI app builder?
Yes. LOJI can review prototypes from AI app builders and help determine whether the right next step is hardening, migration, rebuild, or a narrower product release.
Do I have to rebuild from scratch?
Not automatically. The first job is to separate what is good enough from what will become a launch risk.
Can LOJI help after the app launches?
Yes. LOJI's delivery model includes post-launch support and hardening so the product does not get handed off to a new team after release.
Keep moving through the AI launch system.
AI MVP planning
Plan phase one before AI or a dev team turns a vague idea into expensive scope.
Vibe-coded app cleanup
Clean up technical debt, brittle workflows, and rushed architecture before the rewrite starts.
AI app security review
Review prompt injection, data leakage, tool permissions, auth, and production exposure.
Find out what your prototype needs before launch.
Send the prototype, repo or export, stack notes, and launch goal. LOJI will help identify what needs to be hardened before users rely on it.