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// 04 · Service

AI product engineering

Full-stack, AI-native products from first prototype to a system users trust — designed, built, and shipped in your repo and your conventions.

  • React/Next
  • Go
  • Postgres
  • React Native
Start with a Sprint

// The problem

Why this is hard

An AI feature isn't a product. The model is a small part of a system that also needs a UX people trust, an API and data model that hold up, tests, and a deploy story — built in your repo and your conventions so your team can own it after we leave. Skipping the product engineering is how impressive demos never ship.

// What we build

What you get

Product & UX design

The interface and flows around the model, designed for trust and clarity, not just capability.

Full-stack build

Web and mobile apps, the API, and the data model — shipped in your stack and conventions.

CI, tests & handover

Tests, CI, and documentation so your team owns the system confidently after handover.

Analytics & iteration

Event tracking and product analytics wired in from the start, so the roadmap follows evidence rather than opinion.

// How it fits together

The system we build

  1. DesignUX + flows
  2. Buildweb / mobile
  3. API + datayour stack
  4. CI + testsgated
  5. Handoveryou own it
A representative shape — abstract by design; we build it in your stack and your conventions.

// Deliverables

  • Product & UX design
  • Web and mobile apps
  • API & data model
  • CI, tests, and handover

// How we work

From prototype to production, in four moves.

01

Discovery

We map the problem, the data, and the eval that defines "done".

02

Prototype

A working slice in weeks — real model, real data, measured.

03

Production

Hardened, observable, evaluable. Shipped where users live.

04

Scale

Cost, latency and reliability tuned as load and scope grow.

// Typical engagement

What it takes to work together

  • Architecture Sprint

    $4–8kfixed · 1–2 wks

    1–2 weeks

    De-risk before you build — architecture, a plan, and a working proof-of-concept.

  • Build

    from$20kfixed scope or pod

    typically 1–3 months

    Ship the product end-to-end, in your repo and conventions.

  • Run & Scale

    from$4k/ month

    ongoing

    Operate and improve after launch — SLA, monitoring, and iteration.

Indicative ranges — the final price and timeline depend on your project's scope, complexity, and integrations. A paid Architecture Sprint pins them down.

// FAQ

Common questions

Yes — we build in your repo and conventions with tests, CI, and documentation, and hand over a system your team can own, not a black box.

We start with the thinnest end-to-end slice — a working flow your users can actually try, in your stack, not a throwaway prototype — and aim to have it in their hands within the first few weeks, then harden that same slice into production rather than rebuilding it.

Both — the interface and flows around the model are part of the build, because an AI feature people don't trust or understand doesn't ship no matter how strong the model is.

// Related

All services
15+systems shipped
6+ yrsin production
~4 wksto a first slice
99.9%uptime SLA

// Let's build

Ready to build with product engineering?

Tell us where you are. We reply within a day with a concrete next step.