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Anthropic Workshop: Build Agents That Run for Hours

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Argues that concrete harness patterns beat vague promises: use an adversarial evaluator (separate LLM that runs Playwright and grades by rubric) paired with a generator, decompose work via a Planner and negotiate generator‑evaluator contracts, and store persistent artifacts on disk. Gives numbers and artifacts: model progress from ~1 hour (Sonnet/Opus 3.x) to ~12 hours (Opus 4.6), many generated apps run 3–5 hours, an example Retro Forge cost ≈$200 over 6 hours, and 27 contract criteria fixed bugs; reading traces is the primary debugging loop.

AI-written summary · about

  1. 0:00Introduction and speakers
  2. 1:21Overview of long-running agents
  3. 2:29Challenges: Context, Planning, and Judgment
  4. 4:14Two approaches: Model updates vs. Harness evolution
  5. 5:58Prehistory: Sonnet 3.5, Computer Use, and MCP
  6. 6:34The evolution of Claude Code
  7. 7:55The Ralph loop technique
  8. 9:49Sonnet 4.5, Agent SDK, and checkpoints
  9. 10:49Opus 4.5 and the role of sub-agents
  10. 12:05First long-running agent patterns
  11. 14:20Opus 4.6, Agent Teams, and server-side compaction
  12. 17:28State-of-the-art harness patterns
  13. 21:30Evaluating subjective output with rubrics
  14. 23:44Introducing the 'Planner' role
  15. 25:04The generator-evaluator contract
  16. 31:28Specificity in contracts and debugging traces
  17. 34:14Adjusting harnesses as models evolve
  18. 37:56How to build your own agent harness
  19. 39:01Key takeaways for long-running agents
  20. 40:05Q&A session
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