For teams shipping an AI product to customers

Ship faster without sacrificing engineering discipline.

Book a callSee the proof ↓
The problem

What this fixes

Most teams ship AI features fast by cutting corners — a slick demo that buckles under real traffic, brittle prompts, no observability, and a codebase the next engineer can't safely change. Speed and engineering discipline get treated as a trade-off. They aren't.

  • 01

    Demos that don't survive production

    The prototype impresses, then falls over on real traffic, edge cases, and scale.

  • 02

    AI bolted on, not engineered in

    Brittle prompts and glue code, with no tests, types, or observability to stand on.

  • 03

    Speed bought with debt

    Every shortcut taken to “ship fast” becomes a fix you pay for later.

A brittle, half-built scaffolding tower mid-instability — a slick demo that buckles under production load
Our approach

We treat AI features as production software from day one — shipped fast because the discipline is built in, not skipped.

Senior-owned, end to end

One senior Tuned Pod owns architecture to launch; agents do the volume, our engineers own every call that carries risk.

Production-grade from commit one

Observability, CI/CD, and reliability are part of the build, not a later phase.

Your stack, your repos, your IP

We build where you already work and hand over clean, documented, owned software.

What's included

Everything in the engagement

  • Senior-owned, end to end

    Senior engineers steer the whole build, design to launch, using AI agents judiciously where they earn their place.

  • Custom AI in your product

    AI shipped into web, mobile, and services — cloud-native on GCP, AWS, or Azure.

  • Production-hardened

    Observability, CI/CD, and reliability work built in, so it survives real traffic — not a demo.

  • Clean, future-proof APIs

    Well-typed interfaces that keep you open to new AI platforms as they emerge.

By the numbers

What teams get

0–5 weeks
to a production MVP in front of real users
0+
years of senior product engineering
0%
customer satisfaction across engagements
How we deliver

From first call to first release in weeks

A Pod embeds in your stack, narrows the work to the metric that matters, and ships the smallest system that moves it.

  1. 01

    Scope the outcome

    We pin the metric that matters and what "done" means — before any code.

  2. 02

    Stand up a Tuned Pod

    A senior engineer steering a proprietary in-house agent harness (Claude, Codex, Gemini), embedded in your stack within days.

  3. 03

    Build & ship

    A working system in front of real users in weeks — the agents do the building; our engineers own every call that carries risk.

  4. 04

    Measure & improve

    We track the number it moves and sharpen it as your data and the models change.

Tech & integrations

Built on what you already run

TypeScriptPythonNext.jsReactFastAPIAnthropicOpenAIGCPAWSAzurePostgres

FAQ

How fast can you ship a first version?
A working MVP in front of real users in weeks, not quarters — a senior Tuned Pod owns it end to end.
Do you work in our stack?
Yes — TypeScript and Python, Next.js/React/FastAPI, on GCP, AWS, or Azure; we plug into your existing systems.
Is this production-grade or a prototype?
Production-grade from the start: hardening, observability, and CI/CD are part of the build, not a later phase.
Who owns the code and IP?
You do. We build in your repositories and hand over clean, documented, owned software.
Let’s talk

Tell us the outcome you need.

Book a 30-minute call. We’ll map the highest-impact system to build first — and what moving that number is worth.