Turn your AI prototype into a launchable product
Bridge the gap between AI-generated prototype and production-ready MVP. Security, deployment, and the minimum viable improvements.
You built a prototype with an AI tool and it works — on your machine, with your test data, for the happy path. Now you need real users to validate your idea. The goal isn't perfection — it's getting to a state where real people can use it safely and reliably. That means fixing the critical gaps without over-engineering.
MVP / Prototype challenges we solve
The most common issues in AI-built mvp / prototype projects.
Identifying what actually needs fixing
Not everything needs to be production-grade for an MVP. The challenge is knowing which shortcuts are acceptable (visual polish, advanced features) and which aren't (security, data loss, broken core flows). Our audit prioritizes fixes by impact.
Security minimum
Even an MVP handles user data. You need authentication that works, data isolated per user, no exposed secrets, and HTTPS. You don't need enterprise-grade security, but you need the basics done right.
Deployment
Your app runs locally but deploying it involves environment variables, domain configuration, SSL, and build optimization. First-time deployment is where most AI prototypes hit unexpected issues.
Error handling
When something goes wrong (and it will), your users should see a helpful message — not a white screen or a raw error. Basic error handling is the difference between 'this app is buggy' and 'something went wrong, please try again.'
Core flow reliability
Your main user flow (signup → core action → outcome) must work every time. Edge cases in secondary flows can wait, but the core path needs to be solid for your MVP to generate valid learnings.
What we review
Our mvp / prototype audit covers these critical areas.
Core user flow — does signup to core action work reliably?
Authentication — secure login, session handling, password reset
Data security — user data isolation, no exposed secrets
Deployment readiness — env vars, build configuration, domain setup
Error handling — graceful failures on the core path
Mobile experience — does the core flow work on mobile?
Performance — does the app load in under 3 seconds?
Services for your mvp / prototype
We work with mvp / prototype apps built with
Common mvp / prototype tech stacks
Start with a self-serve audit
Get a professional review of your mvp / prototype at a fixed price.
Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 checks
- SSL/TLS analysis
- Security headers
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerabilities
- Code quality review
- Dependency audit
- AI pattern analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
How it works
Tell us about your app
Share your project details and what you need help with.
Get a clear plan
We respond in 24 hours with scope, timeline, and cost.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
How much does it cost to make my prototype launchable?
Start with our code audit ($19) to identify exactly what needs fixing. For most AI-built MVPs, the critical fixes (security, deployment, core flow reliability) take a few days of professional work. We provide a fixed quote after the audit.
Should I rebuild or fix my prototype?
Fix it. Your AI-generated prototype captures your product vision and often has solid UI. Rebuilding wastes the work that's already done. We fix the critical gaps (security, reliability, deployment) and leave the rest for post-launch iteration.
What's the minimum I need to launch?
Working authentication, data isolation between users, core flow that works reliably, basic error handling, HTTPS, and deployment to a real hosting platform. Everything else — perfect UI, advanced features, comprehensive testing — can come after you validate with real users.
Other use cases
SaaS App
Professional code review, security hardening, and deployment services for SaaS applications built with AI coding tools.
Marketplace
Code review and production services for two-sided marketplaces built with AI tools.
E-Commerce Store
Production services for e-commerce applications built with AI tools.
Internal Tool
Code review and deployment services for internal tools, admin dashboards, and back-office applications built with AI coding tools.
Building a mvp / prototype?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.