Production Hardening
Find out what's actually solid before real users do
AI tools make it easy to ship a working prototype fast. They don't know what they don't know, and they won't tell you which parts are about to break, because they're built to say yes. We audit the codebase, name exactly what's solid and what isn't, and fix what needs fixing before real users or a funding round put weight on a foundation that can't hold it.
Who this is for
- Non-technical or semi-technical founders with a working AI-built MVP
- Teams with real users or a funding round riding on a prototype they can't fully vouch for
- Anyone who can't tell if their AI-built product is a solid foundation or a house of cards
What you get
- A specific list of what's solid, what's broken, and what it costs to fix
- Fixes to the architecture, data model, and security gaps that matter most
- A system that holds up under real users and real growth, not just a demo