Your Agent Aced the Task. Will It Do It Again?
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IBM Research presents a problem with AI agents: although an agent succeeds at solving a task 77 percent of the time on average, it solves the same task every single time in only 53 percent of cases — a 24-percentage-point gap.
The issue is that an agent's decisions often stem from uncertain probability distributions, where certain steps are borderline between going different ways. IBM developed a tool called the Consistency Analyzer that identifies these critical points by replaying the same steps multiple times. They then create guidelines that help the agent become more consistent, cutting the gap from 24 to 12 percentage points without sacrificing average accuracy.
a workflow that succeeded once may fail the next time a user makes the same request
Vibekollen prepared this summary with AI from the original publication. The content belongs to Hugging Face.
