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相较于对具体问题“响应式”给出回答的AI，AI智能体（AI agent）更接近人们期待中的那种AI助手：用户只需用自然语言说明目标，它会把任务拆成步骤，按需调用工具、反复检查并推进执行，尽量把事情从头到尾办完；必要时在关键环节向用户确认。
，更多细节参见wps
不过，值得注意的是，相较于泡沫本身的存在与规模，人们看待和对待其方式，可能更加重要。
Here’s what’s remarkable: Quint was built to help humans reason about complex systems. Giving Quint to AI helps guardrail it to work with more complexity, without making things impossible to validate. We use LLMs for what they excel at: translating between Quint specs, documentation, and implementation code. LLMs don’t think, they translate. Quint’s deterministic tools do the reasoning.