Blog: The Curious Companion

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.

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.

This episode is all about custom GPTs: what they are, what they can do, and how to “build” one. If you’ve ever wished you could clone yourself, this is basically how you do it. In this episode I share how I created my own ChatGP-TA for the Instagram Intensive, the files and instructions I used to make it sound like me, and the simple steps you can take to “clone yourself” without writing a single line of code. Along the way we talk vectors, transformers, input quality, and how to set capabilities so your Custom GPT does exactly what you want.

This episode zooms in on the hype cycle surrounding AI and asks a blunt question: Are we in a bubble? Spoiler: Yes. To unpack that, I trace the history of the dot-com boom and bust, bring in some numbers on today’s AI players, and consider what this all might mean for companies, investors, and everyday people like you and me.

In this episode of ChatGPT Curious I share a handful of ChatGPT features that you might not know about, and that I think you might find genuinely useful. These aren’t “hidden gems” or shiny distractions, they’re tools and settings I personally use and that I believe can improve both your user experience and the model’s outputs. From release notes and memory controls to project settings and the surprisingly powerful Study Mode, this is a practical tour of features that can actually make a difference.

In this episode, we’re talking about what it really takes to get ChatGPT to do what you want. From clarifying your own thoughts to understanding the basics of prompting, this is a how-to guide without the hoopla. Really though, it’s not that serious. Whether you’re asking it to write an email or act as your assistant, specificity and clarity are the name of the game.

This episode is about giving you a clear, simple definition of a word that gets thrown around constantly: AI. You’re hearing it in every commercial, on every app, and in every new feature rollout. But what is it, really? I share a plain-language definition — “software that can guess” — contrast everyday examples of AI with simple automation, and give quick context on where the term came from, how regulating agencies define it, what is meant by “agents” and “AGI”, and how close we realistically are to what Terminator predicted. (Spoiler, not close at all.)