AI prototype to production for apps users can trust.
Building with AI can feel easy while nobody depends on the app. Moving an AI prototype to 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, backups, and support.
- A builder-specific handoff plan for Lovable, Bolt, Cursor, Replit, v0, Bubble, or a custom stack.
- A delivery path that keeps momentum without putting user trust on the line.
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, Cursor, Replit, v0, Bubble, or a similar workflow to move fast and now need a real product engineering review before production.
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.
The app-builder handoff is unclear
Lovable, Bolt, Cursor, Replit, v0, and Bubble projects often need a handoff plan for source control, environments, database access, secrets, deployment, and ongoing ownership.
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 production 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 preserve product context 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 Lovable, Bolt, Cursor, Replit, v0, Bubble, and similar AI app builders to determine whether the right next step is hardening, migration, rebuild, or a narrower product release.
Can a Lovable app work in production?
Sometimes. A Lovable app can be a useful starting point, but production readiness depends on the data model, auth, permissions, deployment, observability, and how much generated code needs cleanup before real users depend on it.
What should be checked before taking an AI-generated app to production?
Review auth, authorization, data ownership, environment variables, API keys, database migrations, backups, monitoring, error handling, payments, admin access, and the workflows users will depend on first.
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 product context and accountability continue after release.
Keep moving through the AI launch system.
MVP from idea to market
Turn an idea, workflow, design, or AI-assisted concept into a focused first product.
AI-generated app cleanup
Clean up technical debt, brittle workflows, and rushed architecture before trust breaks.
AI app security review
Review prompt injection, data leakage, tool permissions, auth, and production trust risk.
Find out what your prototype needs before users depend on it.
Send the prototype, repo or export, stack notes, and launch goal. LOJI will help identify what needs to be hardened so you can keep momentum without losing trust.