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In this episode I break down Claude Code and Claude Cowork, two tools from Anthropic that have taken the AI space by storm, and allow Claude to actually execute tasks on your computer instead of just chatting with you. This episode covers what each tool does, how they're different from each other (and from regular LLMs like ChatGPT), what “agentic” AI actually means, who each tool is for, and what to know about safety and usage limits before jumping in. Main Topics Covered What Claude Code and Claude Cowork are Anthropic and Claude basics Claude Code vs Claude Cowork execution differences The kitchen analogy Agentic AI and agency Real-world Claude Cowork use cases Usage limits, safety, and pricing realities Recent ChatGPT use: Creating a portable LLM memory file Links & Resources for This Episode Newsletter Resources Anthropic Blog Post Subscribe to the ChatGPT Curious Newsletter: The Curious Companion Submit a Question Visit the Website Feeling curious AND generous? Click here to support the podcast. Chapters (00:00:00) - ChatGPT Curious(00:00:38) - Chat GPT Curious: What If Chat GPT Dies?(00:02:45) - Coding 101: Clear Stance on Trump & Everything Else(00:04:46) - Claude Code and Claude Cowork(00:07:09) - Claude Code: For Non-Developers (Cloud Code)(00:12:39) - ClAUDE vs. Cowork: Use Limits(00:17:55) - Curious: How Did I Use Chat GPT This Week?

In this episodeI dig into OpenAI’s quiet announcement that ads are officially coming to ChatGPT along with the U.S. rollout of the Go tier. I talk through what the ads will actually look like, who’s going to see them, and why this move feels less surprising than it does revealing. We get into the money math behind “free” tools, the trust implications of sponsored answers, and what this shift could mean for access as AI continues to get carved up into tiers. Main Topics Covered OpenAI’s quiet ads announcement How ChatGPT ads will work Who will and won’t see ads The new ChatGPT Go tier Ads as a pricing and growth strategy Sustainability and the Uber playbook Trust and access concerns Will users leave or tolerate ads Recent ChatGPT use: PDF screenshot to .docx document Links & Resources for This Episode Open AI Ads Announcement Listen to Ep. 17: Will ChatGPT Get Old Navy’d?  Subscribe to the ChatGPT Curious Newsletter: The Curious Companion Submit a Question Visit the Website Feeling curious AND generous? Click here to support the podcast. Chapters (00:00:00) - ChatGPT Curious(00:00:38) - ChatGPT: Ad Rollout(00:01:30) - OpenAI to Test Adverts on Chat(00:04:18) - ChatGPT's New 'Go' Tier(00:08:12) - Chat: How Much Can I Trust It?(00:15:08) - ChatGPT: Turn Screenshots into a Word Document(00:16:30) - The Curious Companion

In this episode I dig into why I think folks have such strong feelings about AI, and why so many seem to have chosen AI as the hill to die on. This conversation looks less at the technology itself and more at what AI has come to represent: forced adoption, corporate overreach, environmental impact, and the broader enshittification of everything. Main Topics Covered Quick OpenAI update on improved chat history memory What people usually mean when they say “AI” Why the hatred isn’t really about the technology Enshittification as the real underlying issue Why AI became the perfect piñata Environmental concerns and why they stick Data centers, efficiency, and why the panic feels sudden What people don’t know about data center usage Recent ChatGPT use: DIY shelving project Links & Resources for This Episode Listen to Ep. 7: What is AI?  Subscribe to the ChatGPT Curious Newsletter: The Curious Companion Submit a Question Visit the Website Feeling curious AND generous? Click here to support the podcast. Chapters (00:00:00) - ChatGPT Curious(00:00:38) - Why is AI so polarizing?(00:02:33) - Why is AI so polarizing?(00:04:36) - What is AI Hater?(00:06:03) - AI: The Process of Insertion Into Things(00:08:42) - Data Center Costs vs. AI: Why Now?(00:13:28) - Data Center Electricity Use in the US(00:16:33) - Participatory Democracy on Data Centers(00:17:35) - The demands to include AI in the 2020 election(00:19:01) - How To Build Ceiling Shelves(00:21:59) - 23 Ratings + A New Review!(00:22:36) - Curious Companion: The Curious Companion

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. Main Topics Covered Where the term “vibe coding” came from Andrej Karpathy’s original definition Natural language instead of code review Public vibe coding tools like Lovable and Replit Prototypes vs production software Security and fragility concerns Vibe coding vs AI-assisted coding Coding as a spectrum, not a binary Recent ChatGPT use: Creating featured images for blog posts Links & Resources for This Episode Check out the Curious Companion Blog Build Your Own Apps self-paced course The AI Accelerator by Khe Hy Subscribe to the ChatGPT Curious Newsletter: The Curious Companion Submit a Question Visit the Website Feeling curious AND generous? Click here to support the podcast. Chapters (00:00:00) - ChatGPT Curious(00:00:38) - What is Vibe Coding?(00:04:12) - What Is Vibe Coding?(00:08:16) - Coding 101: The niche(00:08:34) - A New World of AI-assisted Coding(00:11:11) - Vibe Coding: Call to Action!(00:12:58) - Cursor vs. Claude Code(00:15:44) - Vibe Coding: Do Vibe Codes Change Jobs?(00:16:18) - Vibe Coding and AI-assisted Coding(00:17:27) - Vibe Coding and Security(00:22:39) - How I Use ChatGPT

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. Main Topics Covered What Google Notebook LM is (and isn’t) “Understand Anything” Uploading sources and learning from them Types of learning resources it can create Why it doesn’t hallucinate Internal vs external use cases One-sheets and pattern recognition Pricing and Google Workspace Recent ChatGPT use: Vibe coding assistant Links & Resources for This Episode Check out Google NotebookLM Subscribe to the ChatGPT Curious Newsletter: The Curious Companion Submit a Question Visit the Website Feeling curious AND generous? Click here to support the podcast. Chapters (00:00:00) - ChatGPT Curious(00:00:38) - The Best AI Tool You've Never Heard of(00:01:40) - A ChatGPT Lesson: Google Notebook(00:03:10) - Google Notebook LM: Mind Blowing AI Learning App(00:09:01) - Mind Maps: The democratization of learning(00:13:50) - Google Notebook: Better Than Chat?(00:17:59) - How I Use ChatGPT to Code my First Web App

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. Main Topics Covered Why I avoided this episode Ethics and discomfort around paying for AI Why “worth it” is subjective Free vs Plus vs Pro tiers Why Pro is an immediate no What the free tier includes What the Plus tier unlocks What actually matters in real usage Usage caps, throttling, and limits Memory, Projects, Tasks, and Custom GPTs Who should and shouldn’t pay Trying Plus without commitment Where OpenAI might be headed Recent ChatGPT use: Computer science and coding deep-dive Links & Resources for This Episode Listen to Ep. 11: WTF is a Custom GPT Subscribe to the ChatGPT Curious Newsletter: The Curious Companion Submit a Question Visit the Website Feeling curious AND generous? Click here to support the podcast. Chapters (00:00:00) - ChatGPT Curious(00:00:38) - Chat GPT: Curious(00:01:56) - Paying for ChatGPT(00:06:43) - Paying for Chat: Is It Worth It?(00:10:30) - Gemini: The Free vs. Plus Tier(00:14:36) - ChatGPT: The $20+ tier(00:19:47) - OpenAI: Are You Paying for Chat?(00:24:22) - How I Use ChatGPT this Week(00:29:02) - Curious: The Code That AI Makes

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. Main Topics Covered Holiday and life updates Vacation recap and vibe coding course Revisiting Episode 9 and missed features Where to find personalization settings Base style and tone options Custom instructions and the interview prompt Brevity, hallucinations, and sycophancy Memory settings and management Recent ChatGPT use: Generating a new workout program Links & Resources for This Episode Listen to Ep. 9: Helpful ChatGPT Features You Might Not Know About  Subscribe to the ChatGPT Curious Newsletter: The Curious Companion Submit a Question Visit the Website Feeling curious AND generous? Click here to support the podcast. Chapters (00:00:00) - ChatGPT Curious(00:00:38) - Chat GPT: Using Chat GPT's Personalization Settings to(00:02:15) - ChatGPT: Custom Instructions (For Me)(00:07:58) - ChatGPT: Setting Up the Preferences(00:08:50) - Chat GPT: The Custom Instruction Box(00:09:33) - ChatGpt: Memory and Personalization Settings(00:13:17) - How I Use ChatGPT (Week 3)(00:14:28) - Curious Companion

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.  Main Topics Covered Title choice and leading with the truth The big ask from the questionnaire Why ChatGPT will never write like you Your voice as a fingerprint and river 3 COR functions: clarifying, organizing, refining What a Voice Anchor is and how to create one Recent ChatGPT use: Charades and Catch Phrase Links & Resources for This Episode Subscribe to the ChatGPT Curious Newsletter: The Curious Companion Submit a Question Visit the Website Feeling curious AND generous? Click here to support the podcast. Chapters (00:00:00) - ChatGPT Curious(00:00:38) - Chat GPT Will Never Write Like You(00:01:54) - ChatGPT: How to Get ChatGPT to Sound Like(00:06:18) - ChatGPT: Please Make It Sound More Like You(00:11:38) - Vinod Chat: How I Write(00:13:39) - Chat: Help Me Create a Voice Anchor(00:14:47) - Chat GPT(00:18:01) - Curious Podcast: Charades and Catchphrases

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. Main Topics Covered Environmental concerns and big emotions on Threads Three traits for winning the AI race  Art discourse and AI-generated art Humans as the variable Corporate winner prediction Need for age restrictions, energy considerations, and guardrails Democratization and the beach volleyball analogy Recent ChatGPT use: CLARITY acronym Links & Resources for This Episode Listen to MOTM #693: The Tenacity to Change Subscribe to the ChatGPT Curious Newsletter: The Curious Companion Submit a Question Visit the Website Feeling curious AND generous? Click here to support the podcast. Chapters (00:00:00) - ChatGPT Curious(00:00:38) - Curious(00:01:38) - Will Computers Win the AI Race?(00:06:15) - Will AI Help People Win the AI Race?(00:09:42) - "It's Too Easy to Be an Artist"(00:10:54) - No Feelings About AI-Made Art(00:12:44) - Will OpenAI Win The AI Race?(00:18:00) - Are AI's Genotypes the Devil?(00:21:15) - How I Use ChatGPT(00:22:59) - Curious Podcast: The Curious Companion (In Text)

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. Main Topics Covered Gemini 3 release What Canvas is and how it works Why “make a sales page for me” doesn’t work Creating an offer outline with the 7Ps Prompts for generating sales page copy Prompts for rendering the sales page in Canvas Recent ChatGPT use: Lesson summaries and summary slides Links & Resources for This Episode Register for the webinar: ChatGPT for Online Business Owners Subscribe to the ChatGPT Curious Newsletter: The Curious Companion Submit a Question Visit the Website Feeling curious AND generous? Click here to support the podcast. Chapters (00:00:00) - ChatGPT Curious(00:00:38) - How to Use ChatGPT for Sales Pages(00:01:46) - 20 Episodes: Thank You!(00:03:02) - Using Gemini 3 to Build Sales Pages(00:08:25) - How to create a Sales Page with ChatGPT(00:13:47) - ChatGPT vs. Kajabi: How to Build a(00:18:10) - How I Use Chat GPT

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. Main Topics Covered Creativity follows fluency Lack of rapid advances in the tech Recent OpenAI updates Hard technical limits of ChatGPT Six biggest user errors Suggestions for improving ChatGPT fluency Recent ChatGPT use: How I used ChatGPT in Hawaii Links & Resources for This Episode Listen to Ep. 9: Helpful ChatGPT Features You Might Not Know About Check out Curious Finds Subscribe to the ChatGPT Curious Newsletter: The Curious Companion Submit a Question Visit the Website Feeling curious AND generous? Click here to support the podcast. Chapters (00:00:00) - ChatGPT Curious(00:00:38) - ChatGPT Curious: Whether or Not You Know How To Use(00:05:53) - Chat GPT Go Expands to Europe(00:06:45) - What ChatGPT Can't Do(00:09:19) - ChatGPT: The 6 biggest errors people make(00:11:42) - Error #3, Poor Prompts(00:15:52) - ChatGPT: Your Best Bet(00:20:01) - The Free vs Paid version of Chat GPT(00:23:28) - ChatGPT: 6 Tips for Fluency(00:25:17) - How I Use Chat GPT(00:28:52) - Curious Podcast: Getting To 20

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. Main Topics Covered What NVIDIA is NVIDIA’s role in the AI economy Founding story and naming Early GPUs and the GeForce 256  Researchers linking GPU math to AI math CUDA and the 2012 AlexNet breakthrough NVIDIA vs Google TPUs H100 chips and DGX Systems CUDA lock-In and why NVIDIA likely won’t be dethroned Recent ChatGPT use: Chris McCausland using AI to describe images Links & Resources for This Episode YouTube Video: Quick Tour of NVIDIA DGX H100 YouTube Video: Inside the Modern Data Center! SuperClusters at Applied Digital Watch Chris’ Reel Subscribe to the ChatGPT Curious Newsletter: The Curious Companion Submit a Question Visit the Website Feeling curious AND generous? Click here to support the podcast. Chapters (00:00:00) - ChatGPT Curious(00:00:38) - Cuda(00:02:27) - Nvidia: The Magnificent 7(00:03:58) - Are We In An AI Bubble?(00:04:56) - What is Nvidia and Why Are They So Big?(00:11:19) - Nvidia: The AI Big Deal(00:16:20) - Nvidia's $5.1 trillion valuation(00:18:18) - A Few Things to Know About Nvidia(00:19:32) - A Cool Use Case For AI(00:21:27) - The Curious Companion

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. Main Topics Covered The Prof G Markets podcast episode that sparked the idea The origin story of Old Navy and its positioning against Gap Alibaba’s Qwen and DeepSeek’s cheaper AI models Bruce Buchanan’s three-line economic model: perceived value, price, cost Why I think China is unlikely to dethrone OpenAI in the U.S. The “inside job” possibility of a smaller U.S. company creating a 90%-as-good model What could make users actually switch models (price vs. perceived value) The “Netflix effect” and why stagnation kills perceived value The Costco model: keep margins low and values clear Final take: OpenAI probably won’t get Old Navy’d anytime soon, but it should Recent ChatGPT use: Transcript research for this episode Links & Resources for This Episode Watch: How China’s AI Efficiency Could Gut the U.S. Economy – Prof G Markets Subscribe to the ChatGPT Curious Newsletter: The Curious Companion Submit a Question Visit the Website Feeling curious AND generous? Click here to support the podcast. Chapters (00:00:00) - ChatGPT Curious(00:00:38) - Chat GPT(00:01:50) - ChatGPT Getting Old, Navied(00:03:26) - ChatGPT: Curious(00:05:10) - The Case for The Gap and Ikea(00:06:42) - ChatGPT vs OpenAI(00:09:55) - OpenAI's Mental Model of Economics(00:13:53) - What Could Happen With China and OpenAI?(00:18:28) - Will OpenAI Take Over Old Navy?(00:21:19) - What Would Drive a Switch to a Cheaper Model?(00:25:41) - "This Is Not a Business"(00:26:16) - Chat GPT: Will It Get Old(00:27:40) - How I Use ChatGPT(00:28:53) - Curious Podcast: Thank You!!

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! Main Topics Covered Why repetitive tasks are perfect for ChatGPT Examples of ChatGPT handling Maestro’s own tasks An overview of Projects The five-step process for automating repetitive tasks Understanding “drift” and keeping your instructions updated Using AI as an assistant, not a replacement Comparing ChatGPT Projects and Claude Skills When to use a Custom GPT instead of a Project Recent ChatGPT use: Researching health insurance options Links & Resources for This Episode Check Out My Other Blog, Maestro Musings Listen to Ep. 11: WTF is a Custom GPT? Subscribe to the ChatGPT Curious Newsletter: The Curious Companion Submit a Question Visit the Website Feeling curious AND generous? Click here to support the podcast. Chapters (00:00:00) - ChatGPT Curious(00:00:37) - ChatGPT: Using ChatGPT for Recurrent Tasks(00:01:35) - repetitive tasks can be automated by AI(00:06:57) - 5 Steps to Use ChatGPT for Repeated Tasks(00:08:31) - How to create a project in ChatGPT(00:13:09) - How to Train a Robot to Do Your Work(00:17:02) - How to Use a Project for Recurrent Tasks(00:18:37) - ChatGPT: Automatic Choosing for Projects(00:19:45) - How I Used Chat GPT to Navigate the World of Health

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. Main Topics Covered Introduction to Atlas Setup and initial questions Interface overview (Home, Globe, Images, Videos, News) Emphasizing agent mode My early impressions of redundancy and money motives Concerns about unbundling features Highlights and bugs from personal testing The “Ask ChatGPT” feature in action My two pennies on the future of AI tools Recent ChatGPT use: Rachel’s Gemini Win Links & Resources for This Episode Read the Atlas release note from OpenAI Listen to Ep. 7 – What is AI? Subscribe to the ChatGPT Curious Newsletter: The Curious Companion Submit a Question Visit the Website Feeling curious AND generous? Click here to support the podcast. Chapters (00:00:00) - ChatGPT Curious(00:00:38) - OpenAI's new Web Browser, 'Atlas'(00:03:10) - Atlas: The ChatGPT User Interface(00:09:04) - ChatGPT: Agent Mode and How It Works(00:14:28) - ChatGPT: The AI of the Web(00:15:20) - Chat GPT: The Only Proposal Feature(00:20:28) - Neural networks and the AI(00:21:42) - How I Use Chat GPT(00:23:41) - The Curious Companion