WorkDay-Bench: Can Embodied Agents Keep Up with a Busy Workday?

Real work does not pause while an agent thinks: food keeps cooking, patients' conditions change, and cold-chain items expire. What happens when an embodied agent must sustain competent performance across a workday rather than an isolated task? Existing benchmarks offer little evidence: most emphasize short-horizon perception and control or use fixed observe–act turns that reduce continuously evolving work to static snapshots. To isolate long-horizon execution, we factor out raw perception and motor control through a textual action–observation interface, while preserving situated actors, movement, stateful resources, persistent processes, and delayed consequences. We introduce the WorkDay Simulator, where occupational environments evolve continuously on a shared clock: actions consume time and resources, external events arrive asynchronously, and deliberation itself advances the world. Using this simulator, we construct WorkDay-Bench with 900 workdays across six occupations and evaluate six embodied agents under a shared interaction scaffold on completion, timeliness, safety, and economic value. Results expose a sharp gap between task closure and real-time execution: even the best On-Time Rate is only 59.7%. Safety further exposes distinct priority tendencies, with Gemini favoring deadlines and Doubao favoring safety-critical events. To reduce interaction cost under EP dynamics, we introduce Just-in-Time Context Interaction (JIT-C), which improves timeliness and economic value. Code and artifacts: https://github.com/anonymous-workday/Workday-Bench.