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Executive Inbox is an OpenEnv 0.2.1 environment for multi-step personalized assistant workflows under schema drift. The agent must inspect noisy inbox and calendar data, identify the real conflict, reschedule or delegate correctly, and send a resolution reply. We hardened the benchmark to remove shortcuts and added dense rewards to make training progress visible. On held-out evaluation, the base model solved 15/20 episodes (avg reward 1.0405) and the trained model solved 19/20 (avg reward 1.2765).

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