Chain-of-thought prompting is a technique that encourages AI models to reason through problems step-by-step before delivering a final output. By guiding the model to “think out loud,” this method improves transparency, accuracy, and the interpretability of results. In enterprise use cases, CoT prompting can help ensure that AI-generated recommendations are logically sound and traceable, which is particularly valuable for compliance-heavy industries.
