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AI MVP Development

AI MVP Development in 4 Weeks

A working AI system in front of real users in four weeks — not a slide deck, and not a bench of juniors between you and the person who wrote the code.

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Most "AI MVP" offers are a pitch deck with a demo bolted on, or a project manager relaying your spec to a bench of engineers a senior only glances at before delivery. A pre-seed or seed founder needs neither. They need something real users can touch, on a timeline that fits a runway, built by people who'll still be reachable the week after it ships.

We ship in four weeks: three weeks of build, one week of user acceptance testing against your actual users, not our assumptions about them. The two senior architects who scope the engagement are the same two who build it, review it, and stay on through a hypercare period after launch, backed by a 30-day warranty on the work.

Four weeks is realistic because we build with AI leverage — the same tools and speed we use across every engagement — but leverage without discipline is exactly how a fast build fails a technical diligence call six months later. Every deviation from the agreed scope is a numbered ADR, and the grounding and tenant-isolation guarantees we build everywhere else go in from the first commit, not after your first enterprise prospect asks for a security review.

The problem we solve

Pre-seed and seed founders who need a real AI system in front of users before their next investor conversation or customer pilot — not a demo that impresses in a meeting and stalls the moment an actual user touches it.

What you get

Four weeks from kickoff to a working AI system in front of real users — three build weeks, one UAT week
One core AI capability scoped and shipped completely, not five features shipped halfway
Grounding guard and tenant isolation built in from the first commit, not retrofitted before a customer's security review
Two senior architects scope, build, and review the engagement — no bench of juniors between you and the code
Hypercare support immediately after launch, plus a 30-day warranty on the delivered work
Numbered ADRs for every deviation from the agreed scope, so what changed and why is never a Slack thread you have to dig up later

What we deliver

  • Working AI system deployed and in front of real users, not a local demo
  • A UAT week run against your actual users, with fixes folded in before handover
  • Source code and infrastructure you own outright
  • Numbered ADRs and a runbook for what you're inheriting
  • Hypercare support window plus a 30-day warranty after launch

Who it's for

  • Pre-seed to seed founders who need a production AI system before their next round, not a slide
  • Non-technical or solo-technical founders who need two senior architects, not a project manager relaying to a team of juniors
  • Teams that tried a no-code AI tool or an agency demo and hit a wall the moment real users showed up

Indicative investment

Transparent ranges so you can plan. Final scope and quote are confirmed on your scoping call.

PackageFromTimeline
AI MVP Build$5,0004 weeks

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Frequently asked questions

What exactly do we get in four weeks?

A working AI system in front of real users, not a demo. The engagement runs three build weeks followed by a UAT week against your actual users, with fixes from that week folded in before handover. You leave with hypercare support and a 30-day warranty on the delivered work.

What's not included in the $5,000 MVP build?

It's one AI capability, scoped and shipped completely — not an open-ended retainer, not unlimited feature requests, and not indefinite free support beyond the hypercare window and 30-day warranty. If what you need is multi-tenant architecture or a compliance-ready platform from day one, that's our Custom Platform engagement, not the MVP build.

Why four weeks, and not two or twelve?

Three weeks is enough to build one AI capability properly when the scope is held to one capability, not five. The fourth week is UAT against real users, not our assumptions about them, so what ships has actually been used before you call it done.

Who's actually building this — will we get a bench of junior developers?

No. The two senior architects who scope the engagement are the same two who build, review, and support it through hypercare. There's no handoff to a team you haven't met.

What happens after the MVP ships?

A hypercare period immediately after launch, then a 30-day warranty on the delivered work. If the MVP validates and you need to scale it into a multi-tenant platform or add compliance-grade guarantees, that becomes a Custom Platform engagement built on what already shipped, not a rewrite.

Ready to scope your ai mvp development project?

Start with a scoping call. You leave knowing the timeline, the fixed price, and whether it's a fit — before you commit to anything.

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