This article proposes an architectural approach for building controlled AI assistants, particularly for complex domains like quantum computing. It emphasizes separating the AI's conversational interface from the execution of computational tasks. The proposed system translates user requests into structured workflows, manages information gathering and validation, and runs computations on a simulation-first basis. Crucially, it advocates against allowing the AI direct access to physical hardware, suggesting that hardware execution should be an explicitly enabled, separate capability. AI
IMPACT This architectural pattern could improve the safety and reliability of AI assistants in high-stakes domains by enforcing controlled execution workflows.
RANK_REASON The article describes an architectural approach for building a specific type of AI application, rather than a new model release or significant industry event.
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