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In this episode we talk about what vibe coding actually is, where the term came from, and why it’s showing up everywhere right now. I break down how vibe coding differs from AI-assisted coding, why the distinction matters, and what’s exciting and risky about both. The goal is to help you understand what’s real, what’s hype, and how to approach this space with curiosity instead of confusion.
Let’s get curious about Google Notebook LM! I walk through what it is, how it works, what makes it different from ChatGPT, and how I’ve personally used it to create mind maps, slide decks, and one-sheets. We also talk about learning styles, hallucinations, citations, pricing, and why this tool feels especially aligned with how I believe AI should be used.
In this episode I break down whether it’s actually worth paying for ChatGPT or sticking with the free tier. I walk through the concrete differences between free and Plus, talk honestly about what matters and what doesn’t, and explain why “worth it” is always subjective. This episode is less about convincing you and more about giving you enough clarity to decide for yourself.
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In this episode, I share how a small, easily ignored setting completely changed ChatGPT’s responses…in a good way. I discuss the personalization settings, including base tone, custom instructions, memory, and advanced settings, and go into detail about how “programming” ChatGPT how to respond, immediately made for a WAY better user experience. If you’ve ever thought “this thing is fine but kind of annoying,” this episode is for you.
In this episode I break down why ChatGPT will never truly write like you and why that’s actually a good thing. We get into what makes a human voice alive and dynamic, how large language models work, and a few tactical ways to help ChatGPT write closer to your voice when you need it to.
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.
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