MVP to Production

Built it with AI? We’ll get it to production.

Built with Cursor, Lovable, Bolt, v0 or Replit? We review, secure and harden it for real users, without losing your momentum.

Transfyr runs list, a production platform that started as a prototype

01 · What breaks after the demo

AI tools write code fast.
They don’t own the consequences.

The same failure modes, again and again. None of them show up in a demo; all of them show up with real users.

open rules, leaked keyslocked down
no migrations, no backupsmigrations + backups
happy-path checkoutwebhooks, refunds, tax
MB bundles, blank SEOprerendered, fast
no tests, no alertstests, CI, monitoring
screens that don’t add upone coherent system
The six failure modes, in detail
Security
Database rules left open, API keys shipped in the client bundle, auth that trusts whatever the browser says.
Data
No migrations, no backups, a schema that made sense for the demo and fights every new feature.
Payments
Checkout that works on the happy path; webhooks, refunds, failed cards and tax are left for later.
Performance
Megabyte bundles, unoptimized images, blank pages for search engines and slow first loads on phones.
Reliability
No tests, no staging, no error tracking. Every deploy is a bet, and nobody knows when it fails.
UX debt
Generated screens that each look fine and together make no sense. Empty, error and loading states missing.

02 · Process

Review, harden, launch, hand over.

  1. Fixed scope

    Review

    We read the codebase, data model, auth, hosting and costs, run it, and break it on purpose.

    Dig deeper

    You get a written report: what is solid, what is risky, and what to fix first.

  2. Priority order

    Harden

    We fix the risks in priority order, while your product keeps shipping.

    Dig deeper

    Data-access rules, secrets, auth flows, payments, performance and the UX gaps that cost you users. Your product keeps shipping while we work.

  3. Go live

    Launch

    Tests on the paths that make money, CI/CD, staging, monitoring and backups.

    Dig deeper

    Plus a launch checklist. We support you through launch, so the first real traffic is a non-event.

  4. Optional support

    Hand over

    Documentation, conventions and guardrails so your team, or your AI tools, can keep extending safely.

    Dig deeper

    Fractional support if you want us to stay.

03 · What you get

A product you can put real customers on.

You built a working product fast with Cursor, Lovable, Bolt, v0 or Replit. Now it needs to survive real users, real data and real money. We audit the code, fix what will break, and harden it: architecture, auth and data rules, payments, performance, tests, CI/CD and observability. You keep the momentum and lose the risk.

  • Code, security and architecture review
  • Auth, data-access rules and secrets fixed
  • Performance, accessibility and SEO pass
  • Tests, CI/CD and staging environment
  • Monitoring, error tracking and backups
  • Launch checklist and handover docs

Pricing Fixed scope, quoted after a review

Transfyr runs list, a production platform that started as a prototype
Transfyr went from prototype to a production science platform: synchronized video, AI action detection and sensor data, through real client rollout. Case study

04 · Why us

We use these tools every day. We also know where they cut corners.

Designing and building digital products since 1998. Today, our own products run in production on AI-assisted engineering.

The longer version

Our founder has been designing and building digital products since 1998, from Rockstar Games titles to sensor-driven sports products. Today we build with AI-assisted engineering every day: our own products (Victorise Studio, OnSprint, ShokIQ, ChronoCult and others) are built that way and run in production.

That combination matters. We know how fast these tools are, and we know exactly which shortcuts they take: the open database rule, the client-side secret, the missing webhook handler. Design and engineering sit in the same senior hands, so we fix the code and the experience at the same time.

See the products we run

Questions

FAQ

Can you take over an app built with Cursor, Lovable, Bolt or v0?

Yes. That is the core of our MVP to Production work. We start with a review of the codebase, data model, auth and hosting, tell you plainly what is solid and what is risky, then fix and harden it in priority order. Rewrites are a last resort, not the default.

How do you use AI in your own work?

Every day. AI-assisted engineering lets a senior studio move at the speed of a much larger team. The difference is senior judgment: architecture, security, data integrity and UX decisions are ours, reviewed and tested, not accepted blindly from a model.

Send us the repo. We’ll tell you what will break.

Get your MVP reviewed