In app copilots
An assistant inside your product that answers questions and takes actions for the user.
AI Products
AI product development from idea to launch.
We design, build and ship AI features and full AI products. Copilots inside your SaaS, chat apps and dashboards that explain themselves. One senior team covers design, engineering and AI.
- Next.js
- React Native
- Vercel AI SDK
- TypeScript
- Supabase
- FastAPI
What is AI product development?
AI product development means building software where AI is a core part of what users get. That might be a copilot inside your app or a new AI first product. It might be features like smart search, summaries and suggestions. It needs product design, app engineering and AI engineering working as one.
Signs you are ready
Sounds familiar?
- Your roadmap has AI features but your team has little AI experience.
- Competitors launched copilots and customers now ask for one.
- You have a product idea and need a working version to show users or investors.
- Your AI demo works but is too slow or too costly for real users.
Use cases
What we build.
AI first apps
New web or mobile products built around AI from day one.
Smart dashboards
Dashboards that explain trends in plain English and let users ask follow up questions.
AI features for SaaS
Search, summaries, drafting and suggestions added to your existing product.
MVPs for founders
A real, usable first version to test with users and raise on.
Deliverables
What you get.
Everything ships in your repo and your cloud. You own all of it.
- 01
Product and UX design
Flows and screens designed for AI, including loading states, errors and trust signals.
- 02
Web and mobile apps
Production apps in Next.js and React Native, built to your standards.
- 03
Streaming AI features
Fast, streaming responses with the Vercel AI SDK and the models you choose.
- 04
Usage and cost tracking
Cost, speed and feedback per user and per feature from day one.
- 05
Handover to your team
Clean code, docs and pairing sessions so your team can own it.
How we work
Our approach.
Every project runs on the Zap Sprint. A fixed price, a working prototype in about 14 days and a production launch in four to six weeks.
- 01
Shape the idea
We define the user, the job and the one AI feature that matters most.
- 02
Prototype fast
A working prototype on real data in about 14 days.
- 03
Build for production
Auth, billing, analytics, tests and the AI layer, all built properly.
- 04
Launch and learn
We ship, watch real usage and improve what users actually touch.
By industry
Where it works.
Case study
See it in production.
Yes. We often work inside an existing codebase. We add AI features behind feature flags and match your code style, tests and release process.
Yes. Senior designers and engineers work as one team. AI features need careful design for speed, errors and trust, so design is part of the build.
We pick the smallest model that does the job well, cache common answers and set limits per user. You see cost per user and per feature in a dashboard.
You do. You own 100% of the code and IP from day one. We work in your repo whenever we can.
Related services
Pairs well with.
Got a messy process?
Let’s zap it.
Tell us what slows your team down. We will show you what an agent could do about it. The first call is free.
- 01Tell us about the job in two minutes
- 02A senior engineer replies within 24 hours
- 03Get a plan and a fixed quote after one call