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Services / Execution

AI Prototyping & MVP Development

Bring your idea to a working MVP in weeks, not quarters. Our AI-accelerated delivery model turns a concept into a product real users can try.

From idea to working product, fast

You have an idea. We turn it into something people can use. Our delivery model puts AI to work across the build itself, so a small senior team ships in the time a kickoff used to take. We scope the idea, stand up the core, and put a real product in front of real users while the question is still worth answering. AI-written code is faster but carries real risk: industry data puts vulnerabilities in roughly 48% of it. Every deliverable ships through human code review and a security scan, which reduces that risk but cannot remove it entirely. You learn what works from usage, not from a slide.

The engagement

Three tiers, two to six weeks

Pick the tier that matches how far you need to take the idea, from a single-feature sprint that proves the concept to a production-path MVP your users can rely on. Each tier is fixed scope, fixed duration, and a small senior team, so there are no open-ended bills.

Tier 01 / 2 weeks, 2 engineers

Sprint MVP

One core feature of your idea, stood up and deployed, so you can see it work and decide whether to go further.

  • A single core AI feature, end to end
  • Basic UI plus a live deployment
  • Technical brief and a working walkthrough
  • Human code review and a security scan on the deliverable

Tooling

Next.js / ReactFastAPILangChainAI-assisted buildVercel
How it works

The path from idea to MVP

Each tier takes the idea one step further, from a single core AI feature to a feature-complete, production-path MVP. Every tier ships through the same QA discipline: human code review and a security scan on every deliverable, plus a test suite from the Validated Prototype up and full CI/CD, monitoring, and load tests at the Production-Path tier. Step through to see what each tier delivers and how far it carries your concept toward something real.

Human code review + security scan, every rung012 weeks024 weeks036 weeks

Rung 03 / 6 weeks, 3 engineers

Production-Path

A feature-complete MVP with CI/CD and monitoring, packaged so your team or ours can carry it straight to production.

What this rung adds

CI/CD, monitoring, and load tests

Human code review and a security scan run on this rung, as on every other.
Each rung adds tests, security, and hardening
How we engage

How a tier is staffed

2 weeks, 2 engineers

Sprint MVP

The fastest way to see the idea work. One core feature, deployed, with a walkthrough you can show a stakeholder.

4 weeks, 2-3 engineers

Validated Prototype

When the idea is promising and you need to test it with real users. Multiple features, a roadmap, and feedback that steers what comes next.

6 weeks, 3 engineers

Production-Path

When you are ready to ship. A feature-complete MVP with CI/CD and monitoring, the natural on-ramp to a bespoke build.

The ecosystem

The AI-accelerated delivery stack

A lean stack tuned for speed: a scaffold to stand the app up in days, an AI layer for the core feature, and an AI-assisted build model that compresses the work from a quarter into weeks. Select any layer to see what runs there.

Layer 04 of 04 / Foundation

Scaffold

The lean app foundation that lets a small team move in days: framework, hosting, database, and auth out of the box.

What runs here

Next.js / ReactVercelSupabaseAuthFastAPI
Impact

Why teams start here

An MVP turns an idea into evidence. Instead of debating a concept, you put a working product in front of users and let real usage decide what to build next. AI-assisted building is what makes that loop fast: industry data shows 84% of developers now use AI tools, 41% of code is AI-written, and teams complete about 21% more tasks. It also carries risk, with vulnerabilities in roughly 48% of AI-generated code. ASC reduces that risk with mandatory human code review and a security scan on every deliverable.

2 wks

from idea to a deployed core AI feature

+21%

more tasks completed with AI-assisted building

Industry context

~48%

of AI-generated code carries vulnerabilities, per industry data, so review is mandatory

Industry context

100%

of deliverables ship through human code review and a security scan

Start with AI Prototyping & MVP Development

Tell us where you are, and we will scope the first engagement around the outcome that moves your business.