--- schema: 1 type: video title: 'Claude for Long-Horizon Tasks — Lance Martin, Anthropic' description: >- 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. --- Watch along with the corrected transcript, summary, timestamps and resources on this talk's official AIE page: https://ai.engineer/talks/9QebvrrY3KY-claude-for-long-horizon-tasks Join our upcoming AI Engineer conferences (see https://ai.engineer landing page): - AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs and engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS 2026 in Sydney --- canonical: >- https://liquidgold.cc/channel/aidotengineer/explore/video/claude-for-long-horizon-tasks-lance-martin-anthropi-04f9e07e090d markdown: >- https://liquidgold.cc/channel/aidotengineer/video/claude-for-long-horizon-tasks-lance-martin-anthropi-04f9e07e090d.md llms: null parent: 'https://liquidgold.cc/channel/aidotengineer.md' channel: aidotengineer updated: '2026-10-24T06:57:01.950Z' language: null children: [] videoId: 9QebvrrY3KY durationSeconds: 1519 publishedAt: '2026-07-22T17:00:06.000Z' searchChunks: - 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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. --- Watch along with the corrected transcript, summary, timestamps and resources on this talk's official AIE page: https://ai.engineer/talks/9QebvrrY3KY-claude-for-long-horizon-tasks Join our upcoming AI Engineer conferences (see https://ai.engineer landing page): - AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs and engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS 2026 in Sydney --- Canonical: https://liquidgold.cc/channel/aidotengineer/explore/video/claude-for-long-horizon-tasks-lance-martin-anthropi-04f9e07e090d · Channel: [AI Engineer](https://liquidgold.cc/channel/aidotengineer.md) > Search chunk text is held until public-source provenance is verified. ## Document chunks > Missing: no stored document chunks are available.