Your MVP, built AI-first from day one.
Not a prototype. A production-ready product real users can sign up for, use, and pay for — with AI as the architecture, not a feature bolted on after launch.
Most MVPs get rebuilt
the moment AI needs to be "added."
Most MVPs are built to prove a UI, then rebuilt from scratch once AI needs to be added to the core workflow. That second build costs more than the first and burns the runway you needed for customer validation.
Ship first, retrofit AI later.
The UI and data model are built without AI in mind, so adding a real AI-powered workflow later means reworking both.
- Data model doesn't support what the AI needs to reason over
- AI ends up as a bolted-on chatbot, not the core workflow
- A second, more expensive build follows within months
Design the AI layer first. Build around it.
We decide what the model handles and what data it needs before a single screen is designed — so the product doesn't need a second build to scale.
- Data model designed to support the core AI workflow from day one
- AI is the product's core loop, not an add-on feature
- Ships once, scales without a rewrite
A production MVP,
not a proof of concept.
Built on Next.js, React, and Node.js — the same stack we'd use for a funded Series A product, scoped down to what proves your core hypothesis fastest.
- Production MVP on Next.js, React, and Node.js
- Core AI-powered workflow, fully functional — not a demo
- Authentication, billing, and admin basics included
- Staging environment access throughout the build
4–8 weeks, fixed price,
weekly demos.
Scope, not team size, is what moves this number — a single core workflow with one integration ships closer to 4 weeks; multiple user roles and third-party integrations push toward 8.