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Actionable Agent evaluation thresholds include a task decomposition rate and tool selection accuracy of 90% or above, a closed-loop completion rate of no less than 85%, and an error recovery rate of no less than 80%.
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9/19/2026
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UnverifiedAgents suffer from error accumulation in multi-step tasks; a ten-step sequential process where each step has 95% accuracy results in an overall success rate that drops to approximately 60%.75% similarUnverifiedIn evaluations of early Agent systems, a Stanford research team found that a single-step error rate of 5% can lead to a final failure rate exceeding 40% in 10-step tasks.74% similarUnverifiedThe author recommends designing the Agent's confidence threshold as follows: execute autonomously above 90%, present an intermediate state for user confirmation between 60% and 90%, and below 60% forcibly acknowledge uncertainty without guessing.73% similarUnverifiedIn the experiments, the task resolution rate was 17% for zero-shot generation, 27% for generic self-correction, 23% for error-only feedback, and 90% for diagnostic counterexample feedback (A-CEGIS).72% similarUnverifiedIn Alto's optimization case, the goal was to achieve a homepage score above 90, with a maximum of 5 attempts, checked by an independent Evaluator, ending only when the target was met or the round limit was reached.72% similar
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