AI-Integrated
Web Applications
I build the product around the model: fast Next.js applications wired to model backends, with streaming responses, live data and an interface people actually enjoy using.
The model is half the product — this is the other half
A great model is worthless behind a clumsy interface. I build the full product surface: Next.js and React front-ends connected to your model backends, with token streaming, optimistic UI, live data and the state handling that makes an AI feature feel instant rather than laggy.
Because I'm also a design architect, this comes with a real design system — components, tokens and interaction patterns — so the product is consistent, accessible and ready to extend, not a bolted-on demo.
What's included
Stack
Next.js · React · TypeScript · Node · streaming / SSE · design tokens · Vercel · model APIs (local & hosted)
Frequently Asked Questions
Can you connect to a model I already run?
Yes — hosted or local. I'll wire the app to your existing endpoint, or stand up the serving layer too (see LLM Serving & Inference).
Do you handle both design and build?
Yes. Design architecture and full-stack implementation are the same workflow here — you get the interface designed and built together, not handed between people.
Why streaming?
Streaming tokens as they generate makes an AI feature feel immediate. It's the difference between a spinner for ten seconds and a response that starts in under a second.
Will it scale?
The front-end is built on a proper design system and modern Next.js, and the backend is designed for the latency and cost profile you need — so it holds up as usage grows.
