Prompting & Interaction

Chain-of-Thought Prompting

Asking an AI to show its reasoning step by step before giving a final answer.

Definition

Chain-of-thought prompting asks the model to think through a problem explicitly before answering — often triggered by phrases like 'Let's think step by step.' This technique significantly improves performance on reasoning tasks, maths problems, and multi-step analysis because it forces the model to articulate its logic rather than jumping to a potentially flawed conclusion. The intermediate reasoning also makes it easier for humans to spot errors.

Why this matters for your business

For analytical tasks — risk assessment, financial analysis, competitive evaluation — chain-of-thought prompting consistently produces more reliable outputs and makes the AI's reasoning auditable.

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Disclaimer

This definition is provided for educational and informational purposes only. It represents a general explanation of a technical concept and does not constitute professional, technical, or investment advice. Artificial intelligence is a rapidly evolving field; terminology, techniques, and capabilities change frequently. Coaley Peak Ltd makes no warranty as to the accuracy, completeness, or currency of the information provided. Nothing on this page should be relied upon as the sole basis for commercial, technical, legal, or investment decisions without independent professional advice.

Document reference: ISO_webpage_knowledge-base_glossary_v1

Last modified: 29 March 2026

Knowledge Base·Prompting & Interaction·Chain-of-Thought Prompting