Clinical AI, agent reliability, healthcare workflow, the building. Long-form, infrequent, and written by people in the work, not the marketing team.
Push-to-talk dictation lost the room a decade ago. Form-driven scribe UIs lose it every visit. The only model the patient doesn't notice is the only model the clinician will tolerate.
Self-consistency is not enough at clinical reliability levels. We run a second, independently-trained model whose only job is to disagree. Here's the architecture.
Generalist documentation is solved-enough. Specialty documentation is hard, valuable, and budget-funded. A primer on category construction.
Three principles that shaped the in-visit UI — and one mistake we shipped twice before we caught it.
A walk through our production-shadow eval pipeline, including the cryptographic and contractual primitives that let us measure quality without ever decrypting a patient name.
Modifier 25 is the most under-applied code in specialty medicine. Here's the documentation pattern that supports it, and how Scribara catches it 96% of the time.
Payer prior-auth policies aren't documents — they're decision trees with citations. We built a hybrid retriever that respects the tree.
Three pricing experiments. One that worked. Why the seat-based AI startup is a category mistake.
The new standard for AI management systems matters more than the certification industrial complex realizes. Here's why we went first.
One short essay every Tuesday morning. From the team building Scribara. No newsletter, no ads, no growth-hack hooks.