Deal Velocity, Not Billable Hours: How Crosby Uses AI to Redefine Legal Contracting
Source
youtube.com
Author
Sequoia Capital
Date
Why it matters
Describes how running the work yourself produces feedback loops that standard 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 → do not capture, and how to layer 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 → roles. Useful for anyone building agents for a professional domain.
Terms in this piece · Glossary
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.
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.
videoWhen to Build Your Own Agent Harness | Harrison Chase, LangChain
videoWhy Hardware-Software Co-Design Is AI's Real 100x: Dylan Patel of SemiAnalysis
videoContext Engineering Our Way to Long-Horizon Agents: LangChain’s Harrison Chase
videoRich Sutton and Khurram Javed: Why AI Models Stop Learning, and How to Start It Again
videoThe AI-native startup: 5 products, 7-figure revenue, 100% AI-written code. | Dan Shipper (Every)Lenny's Podcast
videoOpenAI’s head of platform engineering on the next 12-24 months of AI | Sherwin WuLenny's Podcast
videoHow do you diffuse AI into the real world? — Varun Shenoy, Long LakeAI Engineer