PRODUCT ENGINEERING
Product Engineering
When AI is the product, half-speed engineering kills the idea before users see it. We ship full-stack, AI-native product from first sketch to live software, with the same person in the room for both.
WHAT IS INCLUDED
The work, in detail
01
Full-stack builds
Next.js, TypeScript, Postgres, Railway, Vercel, Cloudflare. Production architecture, not a weekend prototype.
02
AI-native UX
Streaming responses, optimistic UI, guardrails, graceful failure. The difference between 'magical' and 'broken' is usually in the frontend.
03
Design partnership
We work with your designers or bring a senior one in. Either way, the interface ships in the same iteration as the backend.
04
Integrations
Stripe, Clerk, Resend, Slack, GitHub, Sentry, Amplitude, and whatever your operating stack requires.
05
Performance and cost
Monitoring model spend, caching where it matters, picking the right model for each task. AI products go bankrupt on the inference bill, not on the idea.
06
From zero to launch
For founders and product leads who need one senior engineer in the room until the product is live and earning.
IN PRACTICE
How this shows up in real engagements
WHAT AN ENGAGEMENT LOOKS LIKE
A shape we have used many times
Phase 1
Discover
A week to sketch the product, the smallest useful shape, and the path to the first real user.
Phase 2
Build
Shipping continuously from week one. No big-bang launches; real users touch real software early.
Phase 3
Operate
Post-launch tuning, feature work, and a clear hand-off plan for when you are ready to bring it in-house.
ENGAGEMENT MODELS
How we structure the work
Specific numbers come from an intro conversation. The shapes below cover most of what we do.
Zero-to-one
Fixed-scope launch engagement. From blank repo to live product with real users.
Retainer
Monthly engagement for ongoing product work after launch.
Ready when you are.
Tell us what you are trying to do. We reply within one business day.
Start the build