In the last episode, we covered how to fine-tune responses and improve output quality. Now, we’ll go even deeper by learning how to craft highly effective prompts to get the best possible responses from your custom GPT. By the end of this episode, you will know: How to structure prompts to get precise answers. How to use role-based prompting for better context. How to guide multi-step interactions for complex tasks. How to use prompt variations to refine responses further. Let’s get started. Step 1: Why Prompt Engineering Matters for Custom GPTs A custom GPT is only as good as the prompts you give it. Even with well-set instructions, you still need to ask the right questions in the right way to get the most useful responses. A poorly phrased prompt may result in: Overly generic or vague answers. Unnecessary or off-topic details. Responses that do not match your intended tone or style.

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

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