Solving Long-Horizon Agents: Why Process Supervision Beats Outcome Verification
mattturck · x · 2026-07-31
Long-horizon agents struggle to perform end-to-end tasks in the real economy (outside of coding) due to hard-to-verify tasks, unscalable data, and multi-day cycles from input to outcome.
The team argues the key to solving this is supervising the agent's process rather than just verifying the final outcome. This approach is crucial for building production agents at scale, enabling them to run continuously for hours or days.
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