Increasio Logotype
AI prototype to production development

AI features shipped, not stuck

You've built something with AI: an internal chatbot, an agent workflow, a Lovable or v0 prototype. We turn it into production software with typed code, tests, CI, auth, rate limits, monitoring, and human-in-the-loop governance. Fixed scope, measurable ROI.
Why most AI pilots never ship

From prototype to production

Why most AI pilots never ship

Only 11% of organizations have AI agents in production, even though 38% are piloting them (Deloitte Tech Trends 2026). A demo proves the idea. Production needs everything around it: evaluation, error handling, cost controls, a security review, and someone accountable when the model gets it wrong. That gap is engineering work, not more prompting. We're a Vercel partner team with 120+ production Next.js builds, and 5+ MVPs we built went on to raise funding.

What "production" means for an AI feature

The checklist we ship against. Most prototypes have two or three of these.
Typed, reviewed code

Typed, reviewed code

TypeScript end to end, code review on every change, and a codebase your next hire can read. We keep what works from the prototype and rewrite what doesn't.
Tests and evaluation

Tests and evaluation

Unit and integration tests for the app, plus evaluation sets for the AI parts, so a prompt or model change can't silently break answers.
Auth and data boundaries

Auth and data boundaries

Real authentication, role-based access, and clear rules about which data the model can see and which it must never touch.
Rate limits and cost caps

Rate limits and cost caps

Per-user limits, caching, and spend alerts, so one power user or a retry loop doesn't turn into a surprise invoice.
Monitoring and tracing

Monitoring and tracing

Logs, traces, and dashboards for latency, errors, token cost, and answer quality, with alerts that reach a human.
Human in the loop

Human in the loop

Review queues, confidence thresholds, and escalation paths for decisions that shouldn't be fully automated.

Four ways to work with us

Start where you are: a prototype that needs hardening, a pilot that needs shipping, or a product that should be built properly from day one.

  • Vibe-code rescue

    Audit and hardening of an AI-generated codebase (Lovable, v0, Bolt, Cursor). Fixed fee: you get a risk report and a prioritized fix plan, then we fix what matters most. Read <a href="/blog/fix-your-vibecode">how we rescue AI-generated apps</a>.

  • AI feature to production

    Take an internal chatbot, agent workflow, or AI feature from pilot to production inside your product, with the production checklist built in. Fixed scope.

  • Production-grade MVP

    A new product on Next.js with production foundations from day one: tests, CI, auth, and monitoring before the first user signs up.

  • Operate and improve

    A monthly retainer after launch: model and prompt updates, evaluation runs, cost optimization, and new features, from the team that shipped it.

Built on a stack we know inside out

Next.js 16 on Vercel (we're a Vercel partner), TypeScript, Postgres, and the major model APIs: OpenAI, Anthropic, Google, plus open-weight models where data can't leave your infrastructure. Our DevOps team runs the infrastructure side: for Teyrex a managed Trigger.dev setup cut hosting costs by 30%.

How an engagement runs

The same path whether we start from your prototype or from scratch.

  • 1. Review

    We read the code, run it, and test it against the production checklist. You get a written risk report.

  • 2. Scope

    A fixed-scope plan: what we keep, what we rewrite, the timeline, and the cost. No open-ended hourly billing.

  • 3. Harden

    Types, tests, auth, data boundaries, and error handling go in first, before any new features.

  • 4. Evaluate

    We build evaluation sets from real examples, so answer quality is measured, not guessed.

  • 5. Ship

    Staged rollout with monitoring, cost alerts, and a rollback plan, with weekly demos on a live preview throughout.

  • 6. Operate

    Hand-off to your team with documentation, or a monthly retainer where we keep improving it.

AI to production FAQ

  • Can you take over a codebase built with Lovable, v0, Bolt, or Cursor?

    Yes, that's most of our rescue work. We audit it first and tell you honestly whether to harden it or rebuild the parts that won't hold up. The UI and product thinking are often worth keeping; the data layer and auth usually need work.

  • How long does a vibe-code rescue take?

    The review is fixed-fee and short. After it you get a fixed quote and timeline for the hardening, based on the size of the codebase and how close it is to production.

  • Do you build AI agents from scratch?

    Yes, when an agent is the right tool. Often a simpler workflow with one or two model calls is cheaper and more reliable, and we'll say so in the review.

  • What does it cost?

    Fixed scope, quoted after the review. Compare it with the real alternatives: a pilot that never ships, or hiring ML and platform engineers for a single feature.

  • Which AI models and providers do you work with?

    OpenAI, Anthropic, Google, and open-weight models. We design for switching providers, so you're not locked into one vendor's pricing.

  • Do you still build regular MVPs?

    Yes. We build production-grade MVPs on Next.js, with tests, CI, auth, and monitoring from the first sprint, so the MVP becomes the product instead of being thrown away.

Related work

Teyrex

AI and App development agency Teyrex
Teyrex

View project

Soy

Web App Built for Growth & Performance
Soy

View project

Ship the AI feature you already started

Send us what you've built. You'll get a production-readiness review and a fixed-scope plan within 48 hours.
Ship the AI feature you already started