Claude for Long-Horizon Tasks — Lance Martin, Anthropic
Source
AI Engineer
Author
AI Engineer
Date
Why it matters
Learn Anthropic's patterns for reliable long-horizon Claude agents
Decouple the 'brain and hands' plus add self-verification
Design agent harnesses that self-learn and evolve over time
Transcript
Claude is capable of long horizon tasks. In this talk, we'll share lessons learned about building agent harnesses for reliable and secure long-horizon work. This include decoupling the brain and hands, self-verification, self-learning, and design for evolving agent harnesses. ### Lance Martin Member of Technical Staff · Anthropic [X/Twitter](https://x.com/RLanceMartin) · [LinkedIn](https://www.linkedin.com/in/lance-martin-64a33b5) · [Website](https://rlancemartin.github.io) Member of technical staff at Anthropic. Working on the Claude Platform, including Claude Managed Agents and the claude-api skill in Claude Code. Prior to Anthropic, was one of the early team at LangChain. Prior to LangChain, spent several years focused on vision for self-driving cars (Uber ATG, Ike, Nuro) and got a PhD from Stanford.
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