Founder-led builds. You talk to the person writing the code.
Work directly with the engineer who builds your agent, from the first conversation through testing and launch.
In production · 4-doc primary care · voice agent answering today
Methodology
Discover
In a two-week paid proof of value, we study your workflow and its regulatory requirements.
e.g. Genius Care BAA + receptionist clinic profileSpec
Agree on what the agent needs to do and how we will measure success.
e.g. agent_demo.py turn-by-turn evalsPrototype
Build an agent for one useful task and test it against real examples.
e.g. LiveKit voice receptionist v0Harden
Test failure cases, limit sensitive data collection, and confirm the human handoff.
e.g. mic-prompt timeout → phone handoffShip
Launch, monitor results, and review performance each week. You own the code.
e.g. genius-care in production
Values
Start with one useful task and make sure the agent completes it reliably.
Every prompt change runs against a fixed eval set before it ships. Regressions block merge.
When an EMR has no suitable API, we evaluate whether the agent can work through its browser interface.
Plan PHI handling, audit logs, and BAAs before choosing the architecture.