Lance Martin

This talk explores building agent harnesses for reliable and secure long-horizon tasks using Claude. It emphasizes decoupling the agent's reasoning (brain) from its actions (hands), implementing self-verification and self-learning mechanisms, and designing for adaptability in evolving agent harness systems. The core thesis is that Claude's capabilities can be effectively leveraged for complex, extended tasks through robust harness architecture.