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Service detail

AI-Native MVP Development

I take the idea to a working, deployed MVP. AI isn't bolted on as a feature — it's part of the core logic from day one, so the product doesn't need a rebuild the moment you outgrow the prototype.

Founders building AI copilots, assistants, or automation products who need the real version built, not another prototype.

The problem

You've got an AI product idea, maybe even a rough prototype from a no-code tool, but nobody's built the real version yet — the part with actual backend logic, real data, and a UI that doesn't fall apart under real users.

Proof

FinMarketIQ

AI-assisted trading dashboard — FastAPI backend, live multi-provider market data, Stripe subscriptions

View proof ↗

What this service includes

  • Fast validation of AI product ideas
  • AI workflow and data model designed together
  • Deployed MVP with a clear growth path

What you can expect

  • A working MVP live in weeks, not months
  • AI logic built to extend, not replace, as usage grows
  • A real product you can put in front of users, not a demo

Stack

Next.jsNode.js / FastAPIPostgreSQL / SupabaseStripeLLM API integration (Gemini / OpenAI)

How it runs

  1. Scope the core loop — the one thing the product has to do well before anything else
  2. Design the AI workflow and data model together, not separately
  3. Build and deploy the MVP in weekly shippable increments
  4. Wire up analytics so you know what users actually do with it
UM