AI MVP DEVELOPMENT

AI MVP Development. Ship in 4 to 8 Weeks.

Validation, launch, or Series-A-ready. Scoped around the riskiest assumption, with 14+ products built behind the team.

AI MVP development means building the smallest version of your AI product that puts a working version in front of real users in 4 to 8 weeks. We pick a stack you can hire for and ship a hosted product on your domain. The five-day AI Readiness Audit defines the scope, timeline, and right delivery model before the build starts.

By Christian Vismara

WHAT YOU GET

Everything in the box.

Working product, not a prototype

Production code, hosted infra, your domain. Users can actually sign up and pay.

Auth + payments + analytics

Standard out-of-the-box on Launch and Series-A tiers. Stripe, Clerk, GA4 already wired.

Modern, hireable stack

Next.js, Supabase, Vercel, Stripe, Claude or OpenAI. Anyone can pick it up after.

AI integrated, not bolted on

LLMs in the right places, with prompt versioning and observability. Not a sprinkle.

Project terms defined up front

Repository access, infrastructure, credentials, IP, and support are agreed before the build starts.

30-day post-launch support

We stick around for the first month of real users. Bug fixes and small adjustments included.

THE PROCESS

How we build it.

1

Scope

Days 1 to 3. We map the riskiest assumption and the smallest product that tests it.

2

Build

Weeks 1 to 2 (Validation) or 1 to 4 (Launch / Series-A). Daily progress, weekly demos.

3

Polish

One week. Edge cases, copy, performance, the thousand details that make a product feel real.

4

Ship + Train

Final week. Domain, deployment, analytics, your team trained on how to extend it.

STACK

Tools we use.

Next.jsSupabaseVercelVercel AI SDKStripeClerkClaude (Anthropic)GPT (OpenAI)Tailwind CSSshadcn/ui
PRICING

Scoped after the five-day audit.

The five-day AI Readiness Audit identifies the riskiest assumption and defines the first release. A clear one-off build receives an agreed fixed price. Products that need continuous discovery and iteration use the ongoing AI Team model.

The free fit call is a fit check. We will not recommend the five-day AI Readiness Audit if a simpler route is better.

FAQ

Common questions.

A prototype demonstrates an idea, often clickable but not real. An MVP is the smallest working product that lets real users do the core thing. We don't build prototypes. We build deployed software with a domain, payments if relevant, and analytics tracking real behaviour.
Yes, on the Validation tier. Launch MVPs are 6 weeks, Series-A 8 weeks. The constraint is scope, not speed. We pick the smallest version of your idea that's still a real product. If your scope can't shrink, we tell you up front and quote longer.
Repository access, deployment credentials, IP, and support terms depend on the engagement. We agree them during the five-day AI Readiness Audit and include them in the project scope before build.
The post-launch plan is part of the project scope. It can include a support window, knowledge transfer, or an ongoing AI Team engagement depending on what the product needs.
The 30-minute fit call is free and checks fit. The paid five-day AI Readiness Audit then maps the riskiest assumption, defines the smallest useful MVP, and gives you the scope needed to choose the delivery model.
FREE FIT CALL

Got an AI product idea?

30 minutes. We scope the MVP and tell you exactly what 4 weeks gets you.