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What is Chain-of-Thought Reasoning?

A prompting technique where LLMs generate multi-step reasoning, explanations, or solutions by thinking step by step.

More about Chain-of-Thought Reasoning:

Chain-of-Thought Reasoning is a prompt engineering strategy where an LLM is guided to "think out loud"—breaking complex problems into clear, step-by-step reasoning paths. This improves model transparency, logical consistency, and often accuracy for tasks like math, coding, or planning.

Chain-of-thought reasoning is central to reasoning engines, few-shot prompting, and advanced agentic workflows.

Frequently Asked Questions

When should chain-of-thought prompting be used?

It is especially useful for complex tasks that benefit from stepwise reasoning, such as math, logic puzzles, and code generation.

How does chain-of-thought reasoning help in agentic workflows?

It makes agents’ decisions more interpretable, reliable, and adaptable in observation-action loops.

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