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AI glossary

Chain-of-Thought Prompting

Chain-of-thought prompting is a technique that asks an AI to reason through a problem step by step, which improves its accuracy on complex tasks.

What Chain-of-Thought Prompting means

When an AI rushes straight to an answer, it can slip on multi-step problems. Chain-of-thought prompting asks it to work through the steps first - much like showing your working in a maths exam - before giving the final result.

In practice, you add a line such as "think through this step by step before answering." The AI then lays out its reasoning, and that structured thinking tends to produce a more accurate final answer.

Why Chain-of-Thought Prompting matters

Chain-of-thought prompting is a simple trick that noticeably improves AI results on harder tasks. It is a valuable technique for building reliable automations.

It improves accuracy on reasoning and multi-step problems
It makes the AI's logic visible, so errors are easier to spot
It is easy to apply - just one line in your prompt
It is a practical prompt engineering technique

Frequently asked questions

It helps most with tasks that need reasoning or several steps, such as solving problems or making decisions. For simple lookups or short answers, it is usually unnecessary.

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