Trading Desks to Clinical Trials: Parallels in Applied Vertical AI — Ayush Bhardwaj, Allos AI
Source
AI Engineer
Author
AI Engineer
Published
Terms in this piece · Glossary
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
Why it matters
evalA repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.Full definition → capability, not model choice, is what decides whether a domain-specific AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → ships or quietly dies.
videoHow to build an AI-Native Health Company — Dan Feng, Maven Clinic
videoDon’t be data poor — Anuj Iravane, Anterior
videoWhy Your Enterprise Tech Stack Isn’t Ready for AI Agents — Christopher Lovejoy & Saul Howard
videoHealthcare’s Agent Bytecode: X12 as the Harness for AI Agents — Vasant Kearney, Onlay
