03. Prompt Engineering Patterns: Chain-of-Thought

Chain-of-Thought (CoT) prompting is a breakthrough technique that forces the AI to decompose a complex task into steps. By asking the model to "think step-by-step," you provide it with an "internal scratchpad" to work through difficult logic. This is especially powerful for math, syllogisms, and coding tasks where the final answer depends on intermediate stages. Models that express their reasoning are significantly less likely to make logical leaps or common mathematical errors. It also provides transparency for the user, as they can see exactly how the AI arrived at its final conclusion or solution. Implementing CoT patterns is standard practice for building reliable AI agents that can handle multi-stage decision making.