System
Product velocity
Ship production software at small-team speed, without the small-team risk.
ProofAbout 350% faster shipping, with the automated checks that keep it production-grade.
The problem
Going fast with AI usually means going sloppy. Context gets lost between sessions, generated code drifts from the product, and nothing has guardrails.
The outcome
Real features shipped quickly and safely, by a founder pair, on indie economics.
Most teams treat AI-assisted building as a trade: move faster, accept more mess. We don’t. My technical co-founder and I ship real product on a small team, fast, and keep it production-grade while we do it.
Speed comes from running several AI models against one source of truth, so each works from the same product reality instead of inventing its own. Safety comes from the discipline around it: automated end-to-end tests after every change, an automated security review on each one, code-quality and house-style gates, and error tracking that flags and ranks issues before a customer ever feels them.
That is how three of us put out the work of a much larger team without shipping fragile software.
It travels to any product company that wants AI-native velocity without enterprise engineering overhead: founder pairs, indie product teams, anyone whose ambition has outrun their headcount.
