Chain-of-thought is a reasoning technique where an AI model works through a problem step by step before giving its final answer, instead of jumping straight to a conclusion. It underpins how modern reasoning models tackle math, coding, and multi-step tasks, and is a key technique in prompt design. This hub covers how chain-of-thought works, why it improves accuracy, and how it’s used in practice.
Chain-of-thought reasoning is the technique that gets an AI model to work through a problem step by step before answering — and it now powers today's advanced reasoning models.
Read more →AI reasoning models think through problems step-by-step before answering, making them far more accurate on math, coding, and complex tasks — but slower and costlier than standard models.
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