1:24

In this short dialogue, the speakers critique generic AI prompting and propose a more effective approach: instructing the model (Claude) to act as an interviewer that asks the user targeted questions before generating output. They illustrate the method by referencing Alex Hormozi’s Grand Slam/Million‑Dollar Offer formula, noting that Claude is familiar with it and can embed it into the response. By having Claude first gather specifics about the product, guarantee, and positioning, the resulting copy—whether for a website, email, or ad—becomes more compelling and tailored. The conversation emphasizes the importance of specificity, the power of proven offer frameworks, and the evolving ability of AI to conduct structured interviews to improve prompt outcomes.

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