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AI MVP Development

Your MVP in 3–6 weeks. Built to ship, not to demo.

A senior engineer scopes the thin slice that proves demand, pairs AI with the parts we already know how to build, and hands you a codebase you can still ship from in month six.

Median: 4.2 weeks from kickoff to live MVP
4.9 out of 5 stars4.9
from 40+ founders & teams
  • You own the code on day one
  • 1–2 senior engineers + AI
  • Fixed scope, no hourly surprises
Week 1 deliverable

MVP scope & build plan

What lands in your inbox before a line of product code is written.

Must prove
First value reached in under 5 minutes
In scope
Auth, onboarding, core flow, dashboard
Out of scope (for now)
SSO, multi-tenant, enterprise admin
Risks ranked
Data model · integration · activation copy
Signed off together before sprint 1
Week 1

Accelerated by

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Bolt
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Bolt
CopilotCopilot
KiroKiro
AntigravityAntigravity
Anything
v0
Figma MakeFigma Make
What lands in your shared drive

Real artifacts, not a list of adjectives.

Every MVP engagement produces the same kit of deliverables - signed off, documented, and yours to keep.

Median engagement: 4.2 weeks, 2 sprints, 1–2 senior engineers.

01

MVP scope & build plan

Locked v1 scope, ranked risks, and what we're explicitly not doing. Signed off before sprint 1.

Example: AtlasPulse scope v1.2
02

Data model + auth

Postgres schema, auth flows, and a role model that survives your first 10 customers.

03

The thin slice - end to end

The one flow your product must nail, wired from onboarding to activation.

04

Event analytics

Tracking the 5–8 events that matter, so you can read a funnel instead of guess at one.

05

Deploy + rollback pipeline

CI/CD, preview branches, and a rollback plan so a bad merge doesn't become an outage.

06

Written handoff

Architecture doc, decision log, and a 30-day window where we fix whatever surfaces.

Example: SLO handoff doc
The process

How the engagement runs

  1. 01

    Scope the thin slice

    Locked v1 scope, ranked risks, and what we're not building - signed off before code.

  2. 02

    Build with AI acceleration

    AI handles scaffolding and glue code. Senior engineers own architecture and the hard calls.

  3. 03

    Harden before launch

    Edge cases, validation, monitoring, and a rollback plan before the first real user arrives.

  4. 04

    Ship and hand off

    Clean deploy, written handoff, and 30 days of included post-launch fixes.

Typical timeline:2–6 weeks, scope dependent
See recent MVPs
Scope your MVP

Pick what ships. See the budget and timeline move.

This is the same conversation we have in week one. Play with the scope until it feels right, then send it to us for a real quote.

Core must-haves

3/4

Growth features

0/4

Platform / enterprise

0/4

Projected v1

3 features

Est. only
Timeline34 wks
Budget$13k–$18k
Senior engineers1–2 paired
Send my scope for a real quote

We’ll reply within 24 hours with a build plan.

Pricing & timeline

Most agencies hide this. Here's the real range for MVPs.

Your number lands somewhere in the ranges below. We share exactly what moves it up or down so nothing's a surprise after we start.

Lean MVP

2–3 weeks
From $2.5k

One core flow shipped fast to test a single hypothesis.

  • One user journey end-to-end
  • Auth + basic analytics
  • Deploy + handoff
Start this engagement
Most chosen

Full MVP

4–6 weeks
From $7k

The default engagement. Production v1 with the full deliverable kit.

  • All must-ship flows
  • Data model + auth + roles
  • Event analytics + dashboard
  • Launch kit + 30-day fixes
Start this engagement

MVP + 30-day partner

6–10 weeks
From $11k

Full MVP plus a month of post-launch iteration on what users actually do.

  • Everything in Full MVP
  • 4 weeks of post-launch iteration
  • Weekly sync + async updates
Start this engagement

What moves the number

Integrations
Each CRM, payment, or webhook adds days, not weeks.
Design source
Working from your Figma is faster than UX from scratch.
Data model
Multi-tenant is the big one. Single-tenant MVP is quick.
Decisions
Fast async feedback keeps us shipping; gaps stall velocity.

Quote confirmed after a 20-minute scoping call. Fixed scope, no hourly surprises.

FAQ

AI MVP Development FAQ

What happens if we want to bring the code in-house in month 4?

You already own it. Day one. We hand over a repo, a written architecture doc, and a decision log - no lock-in and no 'agency magic' that only we can maintain.

How do you handle scope creep after we've signed?

Fixed scope, fixed quote. New work goes in a change order with its own estimate. We'd rather tell you no once than surprise you at the invoice.

How much code is actually AI-generated?

Rough estimate: ~40% of scaffolding, ~10% of the code that touches money, auth, or customer data. The hard parts are written or heavily edited by a senior engineer.

Do you handle design?

Yes. We can ship from your Figma, or design a clean, conversion-first UI in-house. Either way, design decisions are reviewed by the engineer building them.

What if the scope shifts mid-build because we learned something?

Good. That's the whole point. We stop, rescope the thin slice, and keep shipping. Better to cut one feature than to ship the wrong whole product.

How do we start?

Send a brief or book a 20-minute scoping call. You'll talk to the senior engineer who'd build it - not a salesperson.

Build plan

Ready to ship your MVP?

Send the scope. A senior engineer replies in under 24 hours with a build plan and a real number.

Know what you need

Send a brief. A senior engineer replies in under 24 hours with a build plan and quote.

Need help scoping

Book a 20-minute call. We’ll map the scope together - no sales pitch.Book a call

Or email us at hello [at] codivox [dot] com

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