PARE-Bench tests proactive agents in stateful apps
Published on April 25, 2026, the paper presents 143 tasks for evaluating agents that infer goals, choose when to intervene, and coordinate actions across apps.
Source: PARE-Bench avalia agentes proativos em simulações de apps com estado (arxiv.org). Text prepared with AI from this source.
What happened and what to do
The paper describes PARE-Bench, a benchmark that models applications as finite-state machines to simulate active users. It includes 143 tasks across communication, productivity, calendar, and lifestyle apps, testing goal inference, intervention timing, and orchestration across apps. The paper was published on April 25, 2026.
A company developing agents can use this approach to evaluate sequential, stateful interactions before deploying automations in production. A project could define scenarios based on internal processes, measure whether an agent acts at the right time, and check whether it preserves context when moving from one app to another.
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