Systems builder. Educator. Founder.
Not a consultant. A practitioner. There's a difference.
Lex Hamilton founded charmthirteen to design AI that makes people more capable and keeps them in charge. Her path runs from clinical care through EHR configuration analysis and healthcare data product management to AI literacy facilitation for federal agency audiences. She also created Orinyx, which is independently incorporated.
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.
She started in clinical care as a dialysis technician, moved into EHR solution and configuration analysis at a major electronic health record vendor, then into healthcare data product management at a large pediatric health system. Now the work spans AI governance, systems design, and regulated-industry training. Not in theory. In the actual day-to-day of systems where mistakes reach patients.
The practice serves healthcare and government teams, and the founders building for them, who need more than a strategy deck. They need someone who understands clinical and product workflows, can design systems, and will work alongside them until it works.
The founder work is productized on purpose. Engagements are repeatable, and founders leave with working systems and reusable assets, prompt libraries, decision frameworks, and documented workflows they own, not a folder of advice. That same approach runs the Claude Loves Lovable workshop series. For how the systems thinking actually looks on the page, see the solution designs from prior work.
The teaching runs from a 90-minute open class to team training and a youth bootcamp built with partner organizations, because the people closest to the work should be the ones who learn to build with AI.
Two frameworks, one rule: people stay in charge.
Orbit Framework
How charmthirteen finds and defines the right problem. Orbit moves through six phases, from Pre-Orbit to Trajectory, each built around one question, so we know whether the problem you named is the real one before anyone recommends technology. It runs every Discovery and structures every AI systems assessment.
AI Collaboration Framework
How charmthirteen teaches people to work with AI. Learners Ask with context, Explore with intention, and Reflect with judgment, and every class follows the same steps: Map it, Fix it, Build it, Check it.
See how we teach →AI doesn't fix a broken product decision process. It amplifies it. We fix the process first.
Structure isn't bureaucracy. It's what lets you move fast without losing everything you built.
charmthirteen is a practice, not a consultancy. The distinction matters to how the work gets done.
Builds and training are open. Let's see if it's a fit.
I build independent verification for clinical AI.
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 showing what was checked.