Unverified50% confidenceFactExact time
Agent-style automation describes goals in natural language, with the model dynamically choosing the steps, so it is more tolerant of change, but the cost is that behavior is not fully predictable.
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Long-term
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10/15/2026
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Related Claims
UnverifiedAgent的行为路径是概率性的，而非确定性的74% similarUnverifiedThe following cases usually do not need an agent: the task can be solved in one response, the step sequence is known, tool selection can be expressed with ordinary conditionals, results must arrive within a strict latency budget, per-request cost must be predictable, erroneous actions are hard to undo, and it is impossible to define what successful completion looks like.74% similarUnverifiedIn goal mode, Agent behavior can be quite aggressive, and it is not recommended to enable it when the goal's achievability is uncertain or when cost is a concern.74% similarVerifiedAn agent's self-correction capability within a runtime environment is constrained by the reasoning quality of the underlying large model.73% similar
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