Keep the humans.
charmthirteen designs AI for good. Some companies sell AI as a way to need fewer people. We build it so the people you already have get sharper, and we prove that in healthcare and government, where getting it wrong has a cost.
"AI that makes people more capable and keeps them in charge."
Schedule a Vibe Check →You don't have an AI problem. You have a systems problem.
Most teams:
- Use too many disconnected AI tools
- Don't know what should (or shouldn't) be automated
- Risk data privacy, compliance, and accuracy issues
- Waste time on workflows that don't scale
That's where I come in.
Safe, efficient, and usable. In that order.
A clear process from vibe check to working system.
Three things it can turn into:
- Training your team
- A Blueprint you own
- A build that runs on your accounts
You do not get sold a service. You get matched to a solution, and the scope comes after discovery instead of before it.
Built for teams where a wrong AI output reaches a patient, a claim, or a citizen.
Compliance, accuracy, and trust aren't optional. Neither is structure.
Orinyx. Independent verification for clinical AI, before it reaches a patient.
Orinyx is the first product out of the charmthirteen studio, built from a question the advisory work kept running into. Hospitals wanted an independent way to test clinical AI before deployment, and no one could give them one. Orinyx checks every AI assertion against authoritative sources instead of another model's judgment, so each verdict is deterministic and arrives with a citation.
- Phase 1 runs in a sandbox on synthetic data, no PHI, no EHR connection
- Deterministic verdicts with citations showing what was checked
- Findings documented for governance review
- Design partner pilots open now
Claude Loves Lovable
A founder-focused vibe coding series on shipping real product with Claude and Lovable. Five live sessions, and every one ships a Claude skill you keep.
Discovery, then a Blueprint, then a build you own.
Most AI consultants have never watched a clinical workflow break in production.
That background is why the recommendations hold up after I leave the room.