In this episode I share my predictions on who I think will win this AI race, both as it relates to the users and the industry. I break down the three traits that I believe will set people up for success, then shift into my present-moment take on which company seems best positioned to wear the crown. Along the way I get into the environmental realities, the big emotions that keep popping up around AI, and how humans are always the biggest variable in any prediction.

In this episode I break down how ChatGPT can support the process of writing and designing your sales pages. The conversation covers how Canvas works, how to feed ChatGPT the right input, and how to generate both the copy and a fully rendered mockup of your page. This episode clarifies what ChatGPT can actually do, what it can’t, and why it’s still an incredibly helpful tool for creating clear, effective sales pages.

In this episode I break down what people often misunderstand about ChatGPT and what it can actually do. I walk through the hard technical limits, the most common errors users make, and then share simple ways to become more fluent so you can get the most out of the model. This episode also covers recent updates from OpenAI, along with why sometimes the best use case for ChatGPT is…not using it at all.

In this episode I break down what NVIDIA is, why its GPUs (hint: these are the “chips” you hear so much about) became the backbone of the modern AI boom, and how CUDA locked in its dominance. The conversation moves from gaming history to trillion-dollar valuations and data centers stacked with H100s, offering a clear picture of why nearly every major AI system runs on NVIDIA hardware.

In this episode I dig into whether ChatGPT might get “Old Navy’d”, a concept that ties together capitalism, business strategy, and the evolving AI landscape. Using a Scott Galloway story about Gap and Old Navy as the jumping-off point, I explore what happens when a cheaper, “good-enough” alternative comes for the market leader. From Alibaba’s Qwen to DeepSeek’s leaner, lower-cost models, this episode unpacks the global economics of AI efficiency, U.S. protectionism, and what it would actually take for consumers, or companies, to switch away from OpenAI.

This episode breaks down how to use ChatGPT to handle repetitive computer tasks and free up more time to do the things that actually matter. From bolding text and summarizing writing to creating podcast show notes and automating client responses, I outline a practical five-step process for turning your ChatGPT Projects into reliable digital assistants. Let the robots do the work!

In this episode of ChatGPT Curious I walk you through OpenAI’s newest release, Atlas, a web browser launched October 21st for Mac users. I cover how to set it up, what you can actually do with it, and why I think it’s largely redundant to ChatGPT itself. This episode unpacks both the function and business play (in my opinion) behind Atlas, and how it might be signaling an AI slow-down.

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This episode lays out exactly how to start using ChatGPT (in two super simple steps), for even the most beginner of users. I break down why using the tool is the best way to understand and critique it, share my take on AI as an equalizer, and walk through a surprisingly useful feature called “Schedules”. Let’s get curious.

In this episode of ChatGPT Curious, we break down OpenAI’s newest release: Sora 2, the text-to-video model now living in its own app, Sora. From how diffusion models work to what the new invite-only platform looks like, we’re covering the tech, the ethics, and the implications. You’ll learn how Sora 2 generates videos, why it’s a big deal (for better and worse), and what it means for the future of AI-generated media.

In this episode we dig into why ChatGPT sometimes gives you garbage outputs and what you can do about it. From hallucinations and drift to bad prompts and long chats, we’ll cover the common pitfalls, what to do when it sucks, and how the imperfections of AI might actually be keeping your own skills sharp.