Claude for long-horizon tasks
Lance Martin
- When
- Tuesday, June 301:55 PM – 2:15 PM · 20 min
- Where
- Track 1San Francisco, CA · imported from ai.engineer's public schedule feed
About this session
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.
Speaker
Member of Technical Staff, Anthropic
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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For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpointsHide
- JSONEvery published session and speaker, in one request./aie-worldsfair-2026-import/feed.json
- iCalSubscribe in Google, Apple or Outlook Calendar./aie-worldsfair-2026-import/feed.ics
- Schedule XMLfrab / pentabarf — the format conference apps import./aie-worldsfair-2026-import/feed.xml
- MCP + RESTPoint Claude at the programme. OpenAPI 3.1 included./agents
No key, no signup, CORS open. Everything here is generated from the same data the organisers edit.