Teaching AI Agents to Spot Failures Within Successes
debashis_dutta · x · 2026-07-16
A new paper addresses a clear question: **When enterprise AI agents execute longer, more complex workflows, at which step do failures actually begin?** The core approach proposed by the authors includes: - Training agents to **learn what success looks like**, then deducing deviation points in failed trajectories. - The goal isn't just to determine "if it failed," but to pinpoint the **exact starting position of the failure**. - This is critical for long-chain agents in enterprise scenarios, as many errors don't just occur at the final step.
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