Welcome to ChatGPT Masterclass AI Skills for Business Success. This is Season 7, Episode 3 – Using Role-Based Prompt Chaining for Better Context Awareness. In the last episode, we covered how to structure a multi-step prompt for better workflow efficiency. Now, we will focus on role-based prompt chaining—a technique that allows GPT to simulate different expert perspectives for more precise, relevant responses. By the end of this episode, you will know: What role-based prompt chaining is and why it matters. How assigning roles improves GPT’s accuracy and depth. How to structure multi-step prompts using role-based approaches. Let’s get started. Step 1: What Is Role-Based Prompt Chaining? Role-based prompt chaining means assigning GPT a specific role in each step of the workflow. Instead of asking: "Write a marketing plan for a new product." You can instruct GPT to take on different roles, such as: "As a market researcher, list three emerging trends that could influence our product launch."

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

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