Welcome to ChatGPT Masterclass AI Skills for Business Success. This is Season 7, Episode 2 – The Fundamentals of Structuring a Multi-Step Prompt. In the previous episode, we introduced prompt chaining—a powerful way to guide GPT through structured, multi-step workflows. Now, we’ll go deeper into how to design effective multi-step prompts that improve accuracy, efficiency, and relevance. By the end of this episode, you will know: How to break down complex tasks into structured steps. How to maintain logical flow in multi-step prompts. How to ensure GPT retains context throughout the workflow. Let’s get started. Step 1: Why Multi-Step Prompts Work Better Than Single Prompts A single prompt often forces GPT to generate broad or incomplete answers. For example, if you ask: "Write a marketing strategy for a small business." GPT might generate a generic response with limited depth. Instead, breaking this request into multiple steps allows for more detailed, structured, and refined output.

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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