Unverified50% confidenceFactExact time
An agent-type work environment allows models to decompose complex goals, invoke tools across steps (such as web browsing, code execution, and file reading/writing), and autonomously decide the next action, which is distinct from traditional single-turn retrieve-and-answer AI search.
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50%
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Long-term
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9/15/2026
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Related Claims
UnverifiedThe dynamic discovery pattern allows agents to find and invoke the most suitable collaborators at runtime based on task requirements, making it conceptually more scalable.80% similarUnverifiedThe 'agents' widely used in enterprises today are essentially workflows (Workflows), where the steps are pre-planned by humans and the large model only serves as a semantic understanding and execution tool at each step.79% similarUnverifiedUnlike traditional question-answering large language models, Agents possess autonomous loop capabilities, enabling them to proactively call tools, access external data, decompose complex tasks, and iterate continuously until goals are achieved.76% similarUnverifiedIn workflow-type agents, the execution path is pre-designed by humans, whereas an Agent Loop lets the model autonomously plan what to do next.76% similarVerified工作流（Workflow）是确定性的，预先定义节点顺序；Agent模式是自主性的，由大模型自主决定调用工具和步骤74% similar
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