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The agent harness belongs outside the sandbox

A long-overdue shift in conversational AI development is underway, as the traditional sandbox model of isolated, in-house agent training gives way to a more collaborative approach enabled by cloud-based APIs and containerization. By decoupling agent logic from proprietary infrastructure, developers can now tap into a shared ecosystem of pre-trained models and fine-tune them for specific use cases, accelerating innovation and reducing the barrier to entry. This paradigm shift promises to unlock unprecedented scalability and diversity in conversational AI applications. AI-assisted, human-reviewed.

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