OfficeTown: Generative Organizations for Evolving Agent Intelligence
AI agents increasingly use files and software tools to produce professional deliverables. Such work draws on materials, decisions, and feedback accumulated across assignments. We introduce OfficeTown, a generative simulation framework for professional organizations in which tasks and their context arise from continuing organizational work. From a natural-language description of
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AI agents increasingly use files and software tools to produce professional deliverables. Such work draws on materials, decisions, and feedback accumulated across assignments. We introduce OfficeTown, a generative simulation framework for professional organizations in which tasks and their context arise from continuing organizational work. From a natural-language description of
This work introduces a novel framework for simulating professional organizations with AI agents, which is crucial for developing and testing more sophisticated and collaborative AI systems. Understanding such generative simulation environments is key for ML engineers looking to build and deploy autonomous agents in complex, real-world scenarios.