81Why do agents fail on long-horizon tasks, and how do you keep reliability up over many steps?▼hardAnthropicOpenAIGoogle DeepMind2 replies◆ premiumPer-step accuracy looks fine, yet a 50-step task fails. The signal is understanding compounding error and the techniques (decomposition, verification, checkpointing) that keep long-horizon agents from collapsing.Open full answer →
83How do you design human-in-the-loop checkpoints so an agent can pause, ask, and resume?▼mediumAnthropicSierraSalesforce2 replies◆ premiumAutonomous agents still need humans at the right moments. The signal is designing checkpoints: where to interrupt, what to surface, how to persist and resume state, without turning the agent into a click-through rubber stamp.Open full answer →
