Example build · AI product
AI-native SaaS launch
You have a product idea with AI at its core and need it built properly, fast, without hiring a full team first.
01What we build
- 01Scoped MVP with the AI core, auth, billing and onboarding
- 02Evals, usage tracking and per-customer cost controls from day one
- 03Production infrastructure your future team can take over
Connects to
Measured on
- Time to first paying user
- Activation
- Model cost per user
- Uptime
02How it works
From input to outcome, step by step.
- 01
Scope the first version
We define the smallest version someone would pay for, the metrics that prove it works, and what can wait.
- 02
Build the core
The AI feature comes first, with an evaluation suite, then the product around it: auth, billing, onboarding and an admin view.
- 03
Launch on solid ground
Production infrastructure with monitoring, error tracking and per-customer cost limits, so growth never surprises you.
- 04
Iterate or hand over
We keep shipping from real usage data as your embedded team, or hand over to the engineers you hire.
03Questions
Before you ask.
01Who owns the code and IP?
You do: code, prompts, evaluation sets and infrastructure, in your own accounts from the first day.
02Can you help after launch?
Yes, either as your ongoing product engineering team or by helping you hire and hand over to your own engineers.
More example builds
→Next step
Want something like this for your team?
Thirty minutes with the engineers who would build it. You'll leave with a clear view of what's worth building first and what it should return.
Or see what we build