AI tools excel at generating convincing structure—layouts, logic, and interfaces.
But they don’t reason about the long-term demands of production.
The result isn’t broken software. It’s systems that almost work — and quietly accumulate risk.
A repeatable system for turning AI output into production-grade software.
Identify structures where AI output lacks cohesion.
Refactor logic, interaction models, and component architecture.
Validate against real-world edge cases and accessibility standards.
These are the signals we require before anything ships.
"Code is liability. We optimize for deletability and explicit intent."
Documentation is generated from truth, not written by hand.
We stress-test layouts against localized text expansion and dynamic content loads.
Every state transition is mapped and verified against the component contract.
Performance budgets are enforced at the pull request level, not post-merge.
After review, the system enters a stable, enforceable state. Nothing ships by accident.