Unverified60% confidenceFactExact time
In an Agent, all task decomposition and decision-making are accomplished by calling a large model.
2
Sources
60%
Confidence
Long-term
Relevance
9/19/2026
First Seen
Sources
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Related Claims
VerifiedA large model itself is not equivalent to an Agent; an Agent can orchestrate multiple large models and multiple tools to work collaboratively.78% similarVerifiedCompleting a complex task in an agent application often requires multiple rounds of reasoning and invocation, with each step generating token consumption77% similarUnverifiedContext engineering is the construction of the entire runtime environment surrounding the model, determining what state the agent can see at each step.77% similarVerifiedThe Agent mode of large models such as Claude and GPT autonomously plans and executes multi-step tasks, and each step's reasoning, tool calls, and result parsing consume a large number of tokens.77% similarUnverifiedA more robust approach is to decompose tasks among multiple specialized Agents, each responsible for research and retrieval, result verification, and actual action execution respectively76% similar
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