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Why do agents fail on long-horizon tasks, and how do you keep reliability up over many steps?

Per-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.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Per-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.

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