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Evidence record 2938 · automatically gathered

Proactive Agent Research Environment: Simulating Active Users to Evaluate Proactive Assistants

Proactive agents that anticipate user needs and autonomously execute tasks hold great promise as digital assistants, yet the lack of realistic user simulation frameworks hinders their development. Existing approaches model apps as flat tool-calling APIs, failing to capture the stateful and sequential nature of user interaction in digital environments and making realistic user simulation infeasible. We introduce Proactive Agent Research Environment (Pare), a framework for building and evaluating

Record details

Published: 14 July 2026
Source: Apple Machine Learning Research
Category: Field notes
Topics: Agents & autonomy · Environment
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (14 July 2026), “Proactive Agent Research Environment: Simulating Active Users to Evaluate Proactive Assistants,” evidence record 2938, https://ethics.ai/record/2938 (originally published by Apple Machine Learning Research).

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