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We take a founder's idea straight into a focused, production-quality MVP with AI as a first-class design decision, not a bolted-on chat widget, built to demo well and to survive real users on day one.
We design the product around what the LLM actually makes possible from day one: data model, UX, and architecture all assume AI is core, not a widget added after the fact. That's the difference between a demo that impresses once and a product that holds up under real usage.
It's built to be investor- and user-demo ready: production-quality code and UX, not a throwaway prototype. Several of our AI-native MVPs have gone straight from delivery into fundraising conversations or paying early users.
Typically 4–12 weeks from a scoped technical spec to a demoable release, on a stack built around Next.js, OpenAI/Anthropic models, a vector database, and Supabase. Scope is fixed up front so the timeline doesn't drift.
A 20-minute build call: no deck, no pitch. Just your idea, our honest read on scope, and a fixed-price plan if it's a fit.