Building AI for Healthcare – Janie Lee (Abridge)
Janie Lee, VP Product at Abridge, describes building AI for healthcare on a clinical intelligence platform that turns each patient-clinician conversation into a clinically use…
8 docs tagged with "evals"
View all tagsBuilding Pat, the AI Pocket Analyst – Bridgewater
Brendan McManus, Michael Ran, and Santi Weight from Bridgewater (systematic macro investing) present Pat, the AI Pocket Analyst — an internally deployed agent that performs ho…
How Lyft Builds Evals That Actually Matter in Production – Nick Ung
Nick Ung, who leads data science for safety and customer care at Lyft, explains how his team builds evals for AI Assist, Lyft's customer care AI agent product.
How We Built It: LangSmith Engine – Ben Tannyhill & Vivek Trivedy
Ben Tannyhill and Vivek Trivedy of LangChain walk through how they built LangSmith Engine, positioned as the future of agent observability, evaluation, and autonomous agent im…
LangChain Interrupt 2026
Recap of LangChain Interrupt 2026 — the deep-agents era. Keynote launches (Managed Deep Agents, LangSmith Engine, Sandboxes, SmithDB), evals that grew up, and production agents from Cisco, Toyota, Box, MongoDB, Abridge, Bridgewater, Coinbase, and more.
Make Legal Write Your Evals – Chime
An engineer at Chime (the US consumer fintech with 9.5 million members) describes how the team built 'Jade,' an always-on agentic financial co-pilot built on deep agents, and …
Production Agents at Scale – Diamond Bishop
Diamond Bishop shares Datadog's lessons from deploying 100+ production AI agents.
The Return of the Data Scientist – Shreya Shankar & Hamel Husain
In the closing session, Shreya Shankar (UC Berkeley) and Hamel Husain (Parlance Labs) make the case for 'the return of the data scientist' — bringing a scientific, data-first …