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AI Agents in Acti...
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  (page 158 of 391)
"Instructing the agent how to think: chain-of-thought CoT for single pass and ReAct for iterative. Tree-of-through does breadth-first search, Reflexion does depth-first. They consume lots of tokens. Sequential Thinking MCP is a scratch pad for the agent, not thinking itself. Good examples with tools and MCP. Reflexion needs to know the answer, so it's weird. Maybe for drafting plans??" Aug 27, 2026 10:32PM

 
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