Pare framework enables evaluation of proactive AI agents
July 13, 2026
The Proactive Agent Research Environment (Pare) models applications as finite state machines to simulate realistic user interactions. This method allows for the evaluation of proactive agents that anticipate needs and execute tasks sequentially in complex digital environments.
HOW THIS AFFECTS YOU
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builderThis provides a more rigorous way to validate agents that must navigate complex, stateful software workflows.
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researcherYou can use this framework to move beyond flat tool-calling evaluations toward stateful agent testing.