The whole product around the model.
A model is not a product. I founded PromptMotion and built it end to end — the multi-agent engine, the Next.js app, subscriptions, analytics and growth — launched it in 5 months and grew it to 1,500+ users in its first 2 months. I bring the same founder's view to building AI products for clients.
- 1,500+
- users in 2 months on my own AI SaaS
- End to end
- engine, app, billing & growth
- 5
- AI video models supported natively
Problems I'm usually brought in to solve.
You have an AI product idea
You need a technical partner who can take it from concept to something people pay for.
The prototype isn't a product
A working model needs an app, accounts, billing and reliability around it.
AI costs eat the margin
Pricing and cost per run have to be designed together.
You need to know it's working
Activation and conversion tracking, not just page views.
What you get.
01
Product scoping
A first version focused on the one result users will pay for.
02
AI engine
LLM agents, retrieval or vision models — whatever the product needs.
03
Web app & API
Next.js front end and backend with Supabase, built to iterate on quickly.
04
Subscriptions & billing
Free tier and paid plans, with pricing that covers AI costs.
05
Analytics & activation
Event tracking and conversion APIs, so you can see what drives growth.
06
Launch & iteration
Shipping, learning from real users and improving the product.
01
Discovery callWe talk through the problem, your data and constraints, and what success looks like. You get an honest view of what AI can and can't do here.
02
Architecture & planA clear design — components, models, data flow and how quality will be measured — with a scoped first version.
03
Build & evaluateWorking software early, tested against real examples from your domain rather than demos.
04
Ship & improveDeployed to production, monitored, and tuned for accuracy, latency and cost as real usage comes in.