Category: Generative AI

  • You Ask, I Answer: ChatGPT Feedback?

    Summary In today's episode, I explain how positive feedback shapes ChatGPT's replies and which feedback mechanisms actually influence the underlying model. Here's what this means for you. You'll know exactly when to reach for the thumbs-up rating versus in-conversation feedback to get sharper, more relevant results from ChatGPT. You'll also learn these concepts: the difference…

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  • You Ask, I Answer: ChatGPT Predictions?

    Summary In today's episode, I break down why it's more useful to talk about large language models broadly than to fixate on ChatGPT specifically, and I walk through the creative and productivity use cases I'm most excited about for the coming year. Here's what this means for you. You can put these models to work…

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  • Mind Readings: Adobe Podcast Review

    Summary In today's episode, I review Adobe Podcast's AI audio cleanup tool by testing it across four challenging recording scenarios inside a vehicle. Here's what this means for you. You gain a powerful way to transform poor-quality spoken-word audio into studio-grade sound, which is especially valuable for podcasters working with remote guests or imperfect setups.…

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  • So What? How to do prompt engineering

    Summary In today's episode, I walk through how to approach prompt engineering for AI tools like ChatGPT and Stable Diffusion with practical examples and live demos. Here's what this means for you. You'll discover that specificity and structured thinking transform vague AI outputs into reliable, repeatable results you can actually use in your marketing and…

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  • You Ask, I Answer: Why is ChatGPT All The Rage?

    Summary In today's episode, I break down why ChatGPT suddenly captured the world's attention and what you should try next to get real value from it. Here's what this means for you. The same powerful AI model that lived behind a technical playground for years finally became useful to everyone once it wore a familiar…

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  • So What? Top News and Web Stories

    Summary In today's episode, I walk through how marketers can measure the explosive growth of online news content using tools like the GDELT database and SEO platforms. Here's what this means for you. You gain a practical framework for separating meaningful news from noise in an era flooded with AI-generated content. You'll also learn these…

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  • Mind Readings: AI Generation Tools Are Like Vodka

    Summary In today's episode, I draw a comparison between vodka and AI generation tools to explain why most vendors offer essentially the same underlying technology. Here's what this means for you. You can save money and time by recognizing that most AI tools rely on the same open source models, so you should evaluate vendors…

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  • Mind Readings: AI Bill of Rights, Part 4: Notice and Explanation

    Summary In today's episode, I cover part four of the AI Bill of Rights, focusing on the notice and explanation principle and why automated systems must reveal how they reach decisions that affect you. Here's what this means for you. You gain a practical way to evaluate whether your marketing and AI tools create hidden…

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  • Mind Readings: AI Bill of Rights, Part 1: Safe and Effective Systems

    Summary In today's episode, I break down the first of five fundamental rights from the White House's proposed AI Bill of Rights, focusing on safe and effective systems. Here's what this means for you. You gain a practical framework for evaluating whether your AI and marketing automation tools meet ethical and legal standards. You'll also…

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  • Fireside Chat: Copyright, Intellectual Property, and AI Generated Content with Attorney Ruth Carter

    Summary In today's episode, I break down how copyright law applies to AI-generated content with attorney Ruth Carter. Here's what this means for you. You gain a clear understanding of when your AI-assisted work qualifies for protection and when it falls into the public domain. You'll also learn these concepts: the difference between copyright, trademark,…

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