Prompting Curiosity Castos https://promptingcuriosity.com Prompting Curiosity is a podcast for the AI-curious, no coding background required. Join Dr. Shanté Cofield, also known as the Maestro, to explore what these AI tools actually are, how to use them, and what they might mean for how we think, work, create, and move through life. Tune in every Thursday to get your fix. Stay curious. Thu, 09 Apr 2026 08:00:00 +0000 en-US © 2025 The Movement Maestro LLC US https://episodes.castos.com/68743ac9de2a18-76754613/images/podcast/covers/c1a-q61mw-dm1g659vf4pk-n13f87.png Prompting Curiosity https://promptingcuriosity.com Prompting Curiosity is a podcast for the AI-curious, no coding background required. Join Dr. Shanté Cofield, also known as the Maestro, to explore what these AI tools actually are, how to use them, and what they might mean for how we think, work, create, and move through life. Tune in every Thursday to get your fix. Stay curious. Dr. Shanté Cofield aka The Maestro episodic Prompting Curiosity is a podcast for the AI-curious, no coding background required. Join Dr. Shanté Cofield, also known as the Maestro, to explore what these AI tools actually are, how to use them, and what they might mean for how we think, work, create, and move through life. Tune in every Thursday to get your fix. Stay curious. Shanté Cofield maestro@chatgptcurious.com true https://feeds.castos.com/v4g04 yes <![CDATA[Ep. 38: Using Claude to Build Custom Tech Solutions]]> Thu, 09 Apr 2026 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2412769 https://chatgpt-curious.castos.com/episodes/ep-38-using-claude-to-build-custom-tech-solutions In this episode I walk through how I used Claude Code to check off the second item on my AI wishlist: a custom dashboard for my 1:1 messaging coaching clients. I cover the planning process, the tech stack I used, and what connecting external tools like Acuity and Google Drive actually entailed. I cover what I believe to be the biggest limitations of vibe coding with AI, namely usage limits and not knowing what you don't know, and round out the episode by making the case that personal custom tech solutions are already the next big thing, just siloed to the early adopters for now.

Main Topics Covered

  • Inspiration: checking off wishlist item two
  • Vibe coding with AI: patience more than tech knowledge
  • Limitations of vibe coding
  • Goal: exposing you to what's possible
  • Suggested starting deciding point for what to build
  • The custom dashboard build
  • My preferred tech stack: Next.js, Supabase, Vercel
  • Claude Code Plan mode
  • Connecting to Acuity and Google Drive
  • How I Used AI this week: Building a custom Google Sheet during a live event

Links & Resources for This Episode

Chapters

  • (00:00:05) - Prompting Curiosity: The AI Curious
  • (00:00:38) - How to Build a Custom Tech Solution With Claude
  • (00:04:50) - 3 limitations of AI-based tech
  • (00:06:35) - It's possible to learn to Code in 2019
  • (00:09:18) - How to Build a Custom Tech Solution in 2019
  • (00:14:55) - Claude AI: If You Can Talk to Claude Code, Then
  • (00:20:12) - Talking to AI in the Cloud
  • (00:21:12) - Building a custom CMS for my Business on the Fly
  • (00:24:40) - Building a Personal IT Solution
  • (00:26:45) - Building a custom Google Sheet in 7 Minutes
  • (00:29:47) - Curious Companion: The Old AI Podcast
]]> full 38 true In this episode I walk through how I used Claude Code to check off the second item on my AI wishlist: a custom dashboard for my 1:1 messaging coaching clients. I cover the planning process, the tech stack I used, and what connecting external tools like Acuity and Google Drive actually entailed. I cover what I believe to be the biggest limitations of vibe coding with AI, namely usage limits and not knowing what you don't know, and round out the episode by making the case that personal custom tech solutions are already the next big thing, just siloed to the early adopters for now.

Main Topics Covered

  • Inspiration: checking off wishlist item two
  • Vibe coding with AI: patience more than tech knowledge
  • Limitations of vibe coding
  • Goal: exposing you to what's possible
  • Suggested starting deciding point for what to build
  • The custom dashboard build
  • My preferred tech stack: Next.js, Supabase, Vercel
  • Claude Code Plan mode
  • Connecting to Acuity and Google Drive
  • How I Used AI this week: Building a custom Google Sheet during a live event

Links & Resources for This Episode

]]> 00:30:40 <![CDATA[Ep. 37: Automating My Podcast Workflow with Claude Code]]> Thu, 02 Apr 2026 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2404828 https://chatgpt-curious.castos.com/episodes/ep-37-automating-my-podcast-workflow-with-claude-code The podcast workflow automation is officially done! In this episode I walk through what the new process looks like end-to-end, how Claude Code was used to build a custom Node.js command line tool, and what APIs actually are and why they matter for making it all connect. This is a practical (and yes, somewhat techy) look at agentic AI doing exactly what it's supposed to do: handling the repetitive stuff so the creative work stays yours.

Main Topics Covered

  • Recap of my podcast workflow
  • What got automated (and what didn't)
  • The full pre-automation podcast process
  • What Claude Code built: a Node.js command line tool
  • The terminal, explained (it's not scary)
  • What the new workflow looks like end-to-end
  • Timing, cost, and what still requires a human
  • What an API is and how it fits in
  • How I used AI this week: Building this automation!

Links & Resources for This Episode

Chapters

  • (00:00:05) - Prompting Curiosity: The AI Curious
  • (00:00:38) - prompting curiosity
  • (00:03:20) - Automating My Podcast Workflow with Claude Code
  • (00:09:23) - How To Make a Podcast Episode in 2 Minutes
  • (00:15:41) - How to Build a Website With Node JS in 2020
  • (00:18:58) - How I Used AI This Week
  • (00:19:57) - The Curious Companion: Rating & Review
]]> full 26 true The podcast workflow automation is officially done! In this episode I walk through what the new process looks like end-to-end, how Claude Code was used to build a custom Node.js command line tool, and what APIs actually are and why they matter for making it all connect. This is a practical (and yes, somewhat techy) look at agentic AI doing exactly what it's supposed to do: handling the repetitive stuff so the creative work stays yours.

Main Topics Covered

  • Recap of my podcast workflow
  • What got automated (and what didn't)
  • The full pre-automation podcast process
  • What Claude Code built: a Node.js command line tool
  • The terminal, explained (it's not scary)
  • What the new workflow looks like end-to-end
  • Timing, cost, and what still requires a human
  • What an API is and how it fits in
  • How I used AI this week: Building this automation!

Links & Resources for This Episode

]]> 00:20:59 <![CDATA[Ep. 36: My AI Wishlist]]> Thu, 26 Mar 2026 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2402906 https://chatgpt-curious.castos.com/episodes/ep-36-my-ai-wishlist-1 In this episode I share my AI wishlist, two specific things I plan to build (one day) using Claude Code: an automated podcast production workflow and a custom client dashboard for my 1:1 messaging coaching services. I make the case that the era of exponential AI capability growth has leveled off, and the real gains now come from how you use it and what you build with it. Overall, this episode is a grounded, practical look at agentic AI and what it actually looks like to start putting it to work.

Main Topics Covered

  • New site + cover art celebration
  • Growth spurts and the horizontal curve of AI progress
  • GPT-5 as the end of "bigger = better"
  • Agentic AI as the next level of usage
  • Wishlist item 1: automated podcast production workflow
  • What that workflow currently looks like (and why it's annoying AF)
  • Wishlist item 2: custom client dashboard for messaging services
  • Why build it vs. use a CRM
  • How Claude Code fits into both builds
  • How I used AI this week: Using Claude to plan how to execute my AI wishlist

Links & Resources for This Episode

Chapters

  • (00:00:05) - A Week in the Life of Prompting Curiosity
  • (00:00:54) - CTA
  • (00:02:38) - My AI Wish List
  • (00:08:57) - Claude Code & Cloud Code: My AI Wish List
  • (00:11:17) - AI for Business: My Short List
  • (00:15:57) - How to Complete these tasks in C#
  • (00:17:01) - Wish List item 2: A Personalized Messaging Dashboard
  • (00:22:40) - How I Used AI (Week 3)
  • (00:24:38) - PPLUSING CURIOUS: The Curious Companion
]]> full 36 true In this episode I share my AI wishlist, two specific things I plan to build (one day) using Claude Code: an automated podcast production workflow and a custom client dashboard for my 1:1 messaging coaching services. I make the case that the era of exponential AI capability growth has leveled off, and the real gains now come from how you use it and what you build with it. Overall, this episode is a grounded, practical look at agentic AI and what it actually looks like to start putting it to work.

Main Topics Covered

  • New site + cover art celebration
  • Growth spurts and the horizontal curve of AI progress
  • GPT-5 as the end of "bigger = better"
  • Agentic AI as the next level of usage
  • Wishlist item 1: automated podcast production workflow
  • What that workflow currently looks like (and why it's annoying AF)
  • Wishlist item 2: custom client dashboard for messaging services
  • Why build it vs. use a CRM
  • How Claude Code fits into both builds
  • How I used AI this week: Using Claude to plan how to execute my AI wishlist

Links & Resources for This Episode

]]> 00:25:56 <![CDATA[Ep. 35: Put Your Money Where Your Prompt Is]]> Thu, 19 Mar 2026 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2400134 https://chatgpt-curious.castos.com/episodes/ep-35-put-your-money-where-your-prompt-is The Prompting Curiosity rebrand is officially here and this episode breaks down exactly why the switch happened. I cover the three big reasons for the name change, take a detailed look at OpenAI's behavior that made staying with them feel untenable, and share a clear-eyed take on Anthropic as the alternative. 

Main Topics Covered

  • The rebrand: ChatGPT Curious to Prompting Curiosity
  • Three reasons for the name change
  • Why ChatGPT was originally in the name
  • OpenAI's bad behavior: specific receipts
  • Anthropic's imperfections and brownie points
  • "Do the least harm" as a decision framework
  • What stays the same going forward
  • Recent AI use: Using Claude to help with every part of this rebrand

Links & Resources for This Episode

Chapters

  • (00:00:05) - Prompting Curiosity: The AI Curious
  • (00:00:38) - Puncting Curiosity
  • (00:01:02) - A New Website: Mission
  • (00:02:50) - ChatGPT: Prompting Curiosity
  • (00:04:01) - ChatGPT
  • (00:05:04) - OpenAI's Bad Behavior
  • (00:06:59) - OpenAI Leads Fight for AI Regulation
  • (00:08:23) - OpenAI vs. Anthropic: Which One Is Right?
  • (00:12:15) - How I Used AI This Week
  • (00:13:52) - The Curious Companion
]]> full 35 true The Prompting Curiosity rebrand is officially here and this episode breaks down exactly why the switch happened. I cover the three big reasons for the name change, take a detailed look at OpenAI's behavior that made staying with them feel untenable, and share a clear-eyed take on Anthropic as the alternative. 

Main Topics Covered

  • The rebrand: ChatGPT Curious to Prompting Curiosity
  • Three reasons for the name change
  • Why ChatGPT was originally in the name
  • OpenAI's bad behavior: specific receipts
  • Anthropic's imperfections and brownie points
  • "Do the least harm" as a decision framework
  • What stays the same going forward
  • Recent AI use: Using Claude to help with every part of this rebrand

Links & Resources for This Episode

]]> 00:14:59 <![CDATA[Ep. 34:  8 AI Writing Patterns that Are Dead Giveaways]]> Thu, 12 Mar 2026 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2383138 https://chatgpt-curious.castos.com/episodes/ep-34-8-ai-writing-patterns-that-are-dead-giveaways For the love, please stop using AI to write your copy. We can all tell. In this episode I call out the 8 most obvious AI writing patterns, and provide specific names for those specific styles that are just so characteristically robotic. From em dashes and antithesis structures to hollow opens and metronomic cadence, I break down why these patterns appear, why AI defaults to them, and why the best solution is usually just writing it yourself.

Main Topics Covered

  • Why I'm naming these patterns
  • Antithesis structure ("It's not X, it's Y")
  • Em dashes
  • Parallel structure overload
  • Metronomic cadence
  • The illusion of consideration
  • Adjective stacking
  • No risky sentences
  • Hollow opens and tidy closes
  • Why AI writes like this
  • What you can do about it
  • How I used Claude this week: Learning front-end web development

Links & Resources for This Episode

Chapters

  • (00:00:00) - ChatGPT Curious
  • (00:00:38) - 8 AI Writing Patterns That Are Dead Digits
  • (00:02:26) - 8 AI Writing Patterns That Are Dead Agents
  • (00:03:02) - 7 Signs That AI Writing Is Stupid
  • (00:07:30) - AI's Hollow Openings and Tidy Closes
  • (00:09:46) - Why Does AI Write Like This?
  • (00:13:51) - The 8 Telltale AI Writing Patterns
  • (00:16:14) - How I Used AI to Develop a Website this Week
]]> full 34 true For the love, please stop using AI to write your copy. We can all tell. In this episode I call out the 8 most obvious AI writing patterns, and provide specific names for those specific styles that are just so characteristically robotic. From em dashes and antithesis structures to hollow opens and metronomic cadence, I break down why these patterns appear, why AI defaults to them, and why the best solution is usually just writing it yourself.

Main Topics Covered

  • Why I'm naming these patterns
  • Antithesis structure ("It's not X, it's Y")
  • Em dashes
  • Parallel structure overload
  • Metronomic cadence
  • The illusion of consideration
  • Adjective stacking
  • No risky sentences
  • Hollow opens and tidy closes
  • Why AI writes like this
  • What you can do about it
  • How I used Claude this week: Learning front-end web development

Links & Resources for This Episode

]]> 00:18:37 <![CDATA[Ep. 33: ChatGPT vs. Claude - Real Differences After Weeks of Daily Use]]> Thu, 05 Mar 2026 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2376793 https://chatgpt-curious.castos.com/episodes/ep-33-chatgpt-vs-claude-real-differences-after-weeks-of-daily-use In this episode I share my personal experience of what it's actually been like to ditch ChatGPT and go all-in on Claude. This episode covers the real differences between the two platforms: what Claude does better, where it falls short, and why the switch probably isn't as big a deal as some people are making it out to be.

Main Topics Covered

  • Anthropic refusing government demands
  • The Threads chatter about switching and why it's overblown
  • Claude's lack of a native image generator
  • Claude's usage limits
  • Custom GPTs (or the lack thereof)
  • Claude's reliability
  • Memory differences
  • Voice mode
  • Personality and sycophancy compared to ChatGPT
  • Using Claude to write a Google Apps Script for Acuity scheduling
  • Recent Claude use: vibe coding a free Zapier replacement for Acuity 

Links & Resources for This Episode

Chapters

  • (00:00:00) - ChatGPT Curious
  • (00:00:38) - Cloud vs ChatGPT
  • (00:03:02) - Claude vs Chat GPT
  • (00:05:05) - Claude vs. Cloud: The Differences
  • (00:09:56) - Claude vs. Chat: 6 Differences
  • (00:14:52) - How I Used Google Apps Script this Week
]]> full 33 true In this episode I share my personal experience of what it's actually been like to ditch ChatGPT and go all-in on Claude. This episode covers the real differences between the two platforms: what Claude does better, where it falls short, and why the switch probably isn't as big a deal as some people are making it out to be.

Main Topics Covered

  • Anthropic refusing government demands
  • The Threads chatter about switching and why it's overblown
  • Claude's lack of a native image generator
  • Claude's usage limits
  • Custom GPTs (or the lack thereof)
  • Claude's reliability
  • Memory differences
  • Voice mode
  • Personality and sycophancy compared to ChatGPT
  • Using Claude to write a Google Apps Script for Acuity scheduling
  • Recent Claude use: vibe coding a free Zapier replacement for Acuity 

Links & Resources for This Episode

]]> 00:20:05 <![CDATA[Ep. 32: WTF is OpenClaw?]]> Thu, 26 Feb 2026 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2366777 https://chatgpt-curious.castos.com/episodes/ep-32-wtf-is-openclaw The whole goal of this episode is simply to put OpenClaw, an open source autonomous AI agent that went viral in early January, on your radar, and make a case for why you absolutely should NOT install it. This episode covers what "open source autonomous AI agent" actually means, it’s two biggest draws, and the one massive downside that should give everyone pause: SECURITY.

Main Topics Covered

  • SSD and RAM prices spiking (the AI effect)
  • OpenClaw origin story
  • What "open source autonomous AI agent" actually means
  • The two big draws: agentic capability + messaging app integration
  • Being an LLM wrapper
  • The major downside: security
  • The hype cycle + OpenAI hiring OpenClaw's creator
  • Recent ChatGPT use: Researching OpenClaw

Links & Resources for This Episode

Chapters

  • (00:00:00) - ChatGPT Curious
  • (00:00:38) - OpenClaw
  • (00:01:37) - Pushing the button on a new podcast name
  • (00:02:26) - SSD Prices Go Through the Roof
  • (00:05:44) - What the F*ck Is Open Claw?
  • (00:06:52) - OpenCall: A Open-Source Autonomous AI Agent
  • (00:11:55) - Should You Install OpenClaw on Your Mac Mini?
  • (00:15:31) - How to Use Anthropic's Usage Limits
  • (00:18:06) - Curious Podcast: Turning 30
]]> full 32 true The whole goal of this episode is simply to put OpenClaw, an open source autonomous AI agent that went viral in early January, on your radar, and make a case for why you absolutely should NOT install it. This episode covers what "open source autonomous AI agent" actually means, it’s two biggest draws, and the one massive downside that should give everyone pause: SECURITY.

Main Topics Covered

  • SSD and RAM prices spiking (the AI effect)
  • OpenClaw origin story
  • What "open source autonomous AI agent" actually means
  • The two big draws: agentic capability + messaging app integration
  • Being an LLM wrapper
  • The major downside: security
  • The hype cycle + OpenAI hiring OpenClaw's creator
  • Recent ChatGPT use: Researching OpenClaw

Links & Resources for This Episode

]]> 00:19:45 <![CDATA[Ep. 31: Are We Addicted to AI?]]> Thu, 19 Feb 2026 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2359956 https://chatgpt-curious.castos.com/episodes/ep-31-are-we-addicted-to-ai In this episode I dig into whether we're addicted to AI by examining my own switch from ChatGPT to Claude and what usage limits reveal about dependency. I break down the business models behind OpenAI's "unlimited" usage versus Anthropic's enforced limits, explore the Uber playbook of subsidized addiction, and share why both companies' controversial partnerships (OpenAI with Trump/ICE, Anthropic with Palantir) complicate the choice of which AI to use.

Main Topics Covered

  • Switching from ChatGPT to Claude
  • OpenAI and Anthropic's controversial partnerships
  • Palantir and surveillance concerns
  • Claude's usage limits feature
  • OpenAI's projected $14 billion loss
  • The Uber addiction playbook
  • Session and weekly usage limits
  • AI addiction and dependency
  • Future pricing predictions
  • Open source alternatives
  • Recent Claude use: Coding a sales page

Links & Resources for This Episode

Feeling curious AND generous? Click here to support the podcast.

Chapters

  • (00:00:00) - ChatGPT Curious
  • (00:00:38) - Are We Adopting OpenAI?
  • (00:06:44) - Are We Addicted to AI?
  • (00:11:09) - Are We Adopting OpenAI?
  • (00:15:18) - The Need to Use Both Tech Companies
  • (00:17:02) - Anthropic's Users' Limits
  • (00:18:16) - How Much Should It Cost to Use an LLM?
  • (00:18:57) - Are We Addicted to AI?
  • (00:20:50) - How I Used Claude to Code Sales Pages
  • (00:22:24) - Thanks for Reviewing & Texting!
  • (00:23:14) - Curious Companions: The Podcast
]]> full 31 true In this episode I dig into whether we're addicted to AI by examining my own switch from ChatGPT to Claude and what usage limits reveal about dependency. I break down the business models behind OpenAI's "unlimited" usage versus Anthropic's enforced limits, explore the Uber playbook of subsidized addiction, and share why both companies' controversial partnerships (OpenAI with Trump/ICE, Anthropic with Palantir) complicate the choice of which AI to use.

Main Topics Covered

  • Switching from ChatGPT to Claude
  • OpenAI and Anthropic's controversial partnerships
  • Palantir and surveillance concerns
  • Claude's usage limits feature
  • OpenAI's projected $14 billion loss
  • The Uber addiction playbook
  • Session and weekly usage limits
  • AI addiction and dependency
  • Future pricing predictions
  • Open source alternatives
  • Recent Claude use: Coding a sales page

Links & Resources for This Episode

Feeling curious AND generous? Click here to support the podcast.

]]> 00:23:58 <![CDATA[Ep. 30: Switching Between ChatGPT, Claude, and Other LLMs Without Starting from Scratch]]> Thu, 12 Feb 2026 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2348482 https://chatgpt-curious.castos.com/episodes/ep-30-switching-between-chatgpt-claude-and-other-llms-without-starting-from-scratch In this episode we're talking about how to switch from one LLM to another without starting from scratch or pulling your hair out. I cover why you might want to switch (spoiler: politics and preparedness), how to create a portable memory document that travels with you, and the practical steps for migrating your workflows, projects, and voice to a new AI tool.

Main Topics Covered

  • Why switch?
  • The reality check: new LLMs feel different
  • How to export your ChatGPT chat history (and why you probably shouldn't)
  • Creating an LLM Portable Memory Document
  • Migrating projects and workflows to Claude or Gemini
  • Using Voice Anchors to teach a new LLM your writing style
  • Asking the robot for help
  • Recent ChatGPT use: Vibe coding an OG card generator

Links & Resources for This Episode

Chapters

  • (00:00:00) - ChatGPT Curious
  • (00:00:38) - Curious
  • (00:01:24) - Alternatives to Large Language Models
  • (00:05:12) - If You Can't Stick With One LLM, Switch to Anthrop
  • (00:09:29) - Migrating From One LLM to another without crying
  • (00:15:58) - The other aspect of changing LLMs is any projects or workflows
  • (00:16:47) - How to Have Chat Learn Your Voice (In 2020)
  • (00:19:44) - Talking to the New LLM
  • (00:20:25) - Chat GPT
  • (00:23:25) - The Curious Companion
  • (00:24:20) - Thanks for the Love
]]> full 30 true In this episode we're talking about how to switch from one LLM to another without starting from scratch or pulling your hair out. I cover why you might want to switch (spoiler: politics and preparedness), how to create a portable memory document that travels with you, and the practical steps for migrating your workflows, projects, and voice to a new AI tool.

Main Topics Covered

  • Why switch?
  • The reality check: new LLMs feel different
  • How to export your ChatGPT chat history (and why you probably shouldn't)
  • Creating an LLM Portable Memory Document
  • Migrating projects and workflows to Claude or Gemini
  • Using Voice Anchors to teach a new LLM your writing style
  • Asking the robot for help
  • Recent ChatGPT use: Vibe coding an OG card generator

Links & Resources for This Episode

]]> 00:24:50 <![CDATA[Ep. 29: An Introduction to Claude Code and Claude Cowork]]> Thu, 05 Feb 2026 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2342275 https://chatgpt-curious.castos.com/episodes/ep-29-an-introduction-to-claude-code-and-claude-cowork 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

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?
]]> full 29 true 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

]]> 00:20:19 <![CDATA[Ep. 28: ChatGPT Introduces Ads and a New Tier]]> Thu, 29 Jan 2026 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2333099 https://chatgpt-curious.castos.com/episodes/ep-28-chatgpt-introduces-ads-and-a-new-tier 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

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
]]> full 26 true 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

]]> 00:17:39 <![CDATA[Ep. 27: Why Is AI So Polarizing?]]> Thu, 22 Jan 2026 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2326372 https://chatgpt-curious.castos.com/episodes/ep-27-why-is-ai-so-polarizing 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

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
]]> full 27 true 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

]]> 00:23:20 <![CDATA[Ep. 26: What is Vibe Coding?]]> Thu, 15 Jan 2026 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2317400 https://chatgpt-curious.castos.com/episodes/ep-26-what-is-vibe-coding 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

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
]]> full 26 true 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

]]> 00:27:53 <![CDATA[Ep. 25: The Best AI Tool You’ve Never Heard Of]]> Thu, 08 Jan 2026 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2310281 https://chatgpt-curious.castos.com/episodes/ep-25-the-best-ai-tool-youve-never-heard-of 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

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
]]> full 25 true 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

]]> 00:24:06 <![CDATA[Ep. 24: Is It Worth It to Pay for ChatGPT?]]> Thu, 01 Jan 2026 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2304634 https://chatgpt-curious.castos.com/episodes/ep-24-is-it-worth-it-to-pay-for-chatgpt 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

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
]]> full 24 true 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

Feeling curious AND generous? Click here to support the podcast.

]]> 00:31:21 <![CDATA[Ep. 23: Using ChatGPT’s Personalization Settings to Get Better Responses]]> Thu, 25 Dec 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2294143 https://chatgpt-curious.castos.com/episodes/ep-23-using-chatgpts-personalization-settings-to-get-better-responses 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

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
]]> full 23 true 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

]]> 00:15:40 <![CDATA[Ep. 22: ChatGPT Will Never Write Like You]]> Thu, 18 Dec 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2283975 https://chatgpt-curious.castos.com/episodes/ep-22-chatgpt-will-never-write-like-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. 

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

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
]]> full 22 true 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

]]> 00:20:00 <![CDATA[Ep. 21: Who Will Win the AI Race?]]> Thu, 11 Dec 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2266589 https://chatgpt-curious.castos.com/episodes/ep-21-who-will-win-the-ai-race 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

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)
]]> full 21 true 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

]]> 00:23:55 <![CDATA[Ep. 20: Using ChatGPT for Your Sales Pages]]> Thu, 04 Dec 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2237048 https://chatgpt-curious.castos.com/episodes/ep-20-using-chatgpt-for-your-sales-pages 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

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
]]> full 20 true 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

]]> 00:20:15 <![CDATA[Ep. 19: Do You Actually Know How to Use ChatGPT?]]> Thu, 27 Nov 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2234085 https://chatgpt-curious.castos.com/episodes/ep-19-do-you-actually-know-how-to-use-chatgpt 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

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
]]> full 19 true 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

]]> 00:30:10 <![CDATA[Ep. 18: WTF is NVIDIA?]]> Thu, 20 Nov 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2204824 https://chatgpt-curious.castos.com/episodes/ep-18-wtf-is-nvidia 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

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
]]> full 18 true 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

]]> 00:22:51 <![CDATA[Ep. 17: Will ChatGPT Get Old Navy’d?]]> Thu, 13 Nov 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2193996 https://chatgpt-curious.castos.com/episodes/ep-17-will-chatgpt-get-old-navyd 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

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!!
]]> full 15 true 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

]]> 00:30:18 <![CDATA[Ep. 16: Automate Repetitive Work with ChatGPT]]> Thu, 06 Nov 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2170841 https://chatgpt-curious.castos.com/episodes/ep-16-automate-repetitive-work-with-chatgpt 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

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
]]> full 16 true 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

]]> 00:22:38 <![CDATA[Ep. 15: Reviewing Atlas: OpenAI’s New Web Browser]]> Thu, 30 Oct 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2170323 https://chatgpt-curious.castos.com/episodes/ep-15-reviewing-atlas-openais-new-web-browser 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

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
]]> full 15 true 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

Feeling curious AND generous? Click here to support the podcast.

]]> 00:24:59 <![CDATA[Ep. 14: ChatGPT for Absolute Beginners]]> Thu, 23 Oct 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2167526 https://chatgpt-curious.castos.com/episodes/ep-14-chatgpt-for-absolute-beginners 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.

Main Topics Covered

  • Why this episode exists (for true beginners)
  • How ChatGPT can possibly level the playing field
  • Two simple steps for getting started
  • The goal: using AI to reclaim human time
  • Recent ChatGPT use: Nest Cam + the Schedules feature

Links & Resources for This Episode

Chapters

  • (00:00:00) - ChatGPT Curious
  • (00:00:38) - Curious
  • (00:02:59) - Black People and ChatGPT
  • (00:06:34) - Why Should You Start Using Chat GPT?
  • (00:10:35) - How to get started with ChatGPT
  • (00:11:20) - How I Use ChatGPT
  • (00:14:40) - ChatGPT: A Beginner Episode
]]> full 14 true 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.

Main Topics Covered

  • Why this episode exists (for true beginners)
  • How ChatGPT can possibly level the playing field
  • Two simple steps for getting started
  • The goal: using AI to reclaim human time
  • Recent ChatGPT use: Nest Cam + the Schedules feature

Links & Resources for This Episode

]]> 00:15:31 <![CDATA[Ep. 13: What is Sora?]]> Thu, 16 Oct 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2161189 https://chatgpt-curious.castos.com/episodes/ep-13-what-is-sora 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.

Main Topics Covered

  • What Sora 2 is and how it works
  • Diffusion explained (drop of dye in water analogy)
  • Denoising and the Willy Wonka comparison
  • The difference between training and generation
  • SlopTok? Sora app features and invite system
  • Opt-out policy and data control issues
  • Compute cost and environmental impact
  • Deepfakes, realism, and misinformation risks
  • Personal takeaways and ethical concerns
  • Recent ChatGPT use: Sora prompt + Repairing the wine fridge

Links & Resources for This Episode

Chapters

  • (00:00:00) - ChatGPT Curious
  • (00:00:38) - OpenAI's Sora 2
  • (00:03:33) - How Video Generation is Made: Diffusion
  • (00:08:05) - SORA2
  • (00:09:06) - Chat GPT: Sora 2, Unboxing
  • (00:14:22) - Is AI Content Bad For You?
  • (00:17:52) - OpenAI Rolls Out 'Sora 2' for Video Making
  • (00:18:39) - How I Use Chat GPT this Week
  • (00:21:58) - How to Diagnose a Wine Fridge Problem with a Multimeter
]]> full 13 true 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.

Main Topics Covered

  • What Sora 2 is and how it works
  • Diffusion explained (drop of dye in water analogy)
  • Denoising and the Willy Wonka comparison
  • The difference between training and generation
  • SlopTok? Sora app features and invite system
  • Opt-out policy and data control issues
  • Compute cost and environmental impact
  • Deepfakes, realism, and misinformation risks
  • Personal takeaways and ethical concerns
  • Recent ChatGPT use: Sora prompt + Repairing the wine fridge

Links & Resources for This Episode

]]> 00:25:30 <![CDATA[Ep. 12: Why ChatGPT Sometimes Sucks (and What to Do)]]> Thu, 09 Oct 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2154947 https://chatgpt-curious.castos.com/episodes/ep-12-why-chatgpt-sometimes-sucks-and-what-to-do 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.

Main Topics Covered

  • WTF moments with bad ChatGPT outputs
  • Why it’s math, not magic (probability, tokens, predictions)
  • Hallucinations and why “AI slop” happens
  • Improving your prompts
  • Memory checks and correcting drift
  • When to start a new chat
  • The importance of knowing your own stuff
  • Skills-of-operation vs skills-of-understanding
  • Historical parallels: calculators, smartphones, cameras
  • A solution to the concern about outsourcing thinking and expression
  • Weekly use case: Joe’s meal planning with ChatGPT

Links & Resources for This Episode

Chapters

  • (00:00:00) - ChatGPT Curious
  • (00:00:38) - Why Chat GPT SUCKS & What to Do About It
  • (00:05:07) - How to Train ChatGPT to Stop Sucking
  • (00:08:14) - ChatGPT: What You Can Do to Make It Less Stupid
  • (00:13:17) - Talking to a project in a chat
  • (00:13:38) - GPT: Know Your Right
  • (00:14:37) - ChatGPT: Its Stupidity has Value
  • (00:15:14) - Skills of Operations vs Skills of Understandability
  • (00:19:58) - The Problem With Out-Of-Touch Thinking
  • (00:21:57) - How I Use Chat GPT
  • (00:23:48) - ChatGPT: Curious
]]> full 12 true 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.

Main Topics Covered

  • WTF moments with bad ChatGPT outputs
  • Why it’s math, not magic (probability, tokens, predictions)
  • Hallucinations and why “AI slop” happens
  • Improving your prompts
  • Memory checks and correcting drift
  • When to start a new chat
  • The importance of knowing your own stuff
  • Skills-of-operation vs skills-of-understanding
  • Historical parallels: calculators, smartphones, cameras
  • A solution to the concern about outsourcing thinking and expression
  • Weekly use case: Joe’s meal planning with ChatGPT

Links & Resources for This Episode

]]> 00:25:18 <![CDATA[Ep. 11: WTF is a Custom GPT?]]> Thu, 02 Oct 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2149808 https://chatgpt-curious.castos.com/episodes/ep-11-wtf-is-a-custom-gpt 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.

Main Topics Covered

  • GPT definition refresher: generative, pretrained, transformer
  • How transformers work: tokens, vectors, and context
  • Definition of a Custom GPT and why it’s like “cloning yourself”
  • Example: building a Custom GPT (ChatGP-TA) for the Instagram Intensive
  • Files and instructions used to train it (outlines, sales page, emails)
  • Using Projects vs the GPT Builder (create + configure modes)
  • Importance of context and instructions for best outputs
  • Capabilities and settings (internet access, file uploads, toggles)
  • Use cases and limitations of custom GPTs
  • How Kate uses ChatGPT vs Claude

Links & Resources for This Episode

Chapters

  • (00:00:00) - ChatGPT Curious
  • (00:00:38) - ChatGPT Curious
  • (00:02:26) - Generative, Pre-trained Transformer in AI
  • (00:06:51) - What is a Custom GPT?
  • (00:08:06) - What is a Custom GPT?
  • (00:12:47) - How to create a custom GPT in ChatGPT
  • (00:18:08) - ChatGPT: Creating a Markdown File
  • (00:19:01) - Making a Custom GPT
  • (00:22:43) - How I Use Chat GPT
  • (00:23:45) - Chat GPT vs. Claude: What's the Difference?
  • (00:25:42) - How to make a custom GPT for chat
  • (00:28:15) - A Techie Introduction To Chat
]]> full 11 true 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.

Main Topics Covered

  • GPT definition refresher: generative, pretrained, transformer
  • How transformers work: tokens, vectors, and context
  • Definition of a Custom GPT and why it’s like “cloning yourself”
  • Example: building a Custom GPT (ChatGP-TA) for the Instagram Intensive
  • Files and instructions used to train it (outlines, sales page, emails)
  • Using Projects vs the GPT Builder (create + configure modes)
  • Importance of context and instructions for best outputs
  • Capabilities and settings (internet access, file uploads, toggles)
  • Use cases and limitations of custom GPTs
  • How Kate uses ChatGPT vs Claude

Links & Resources for This Episode

]]> 00:29:19 <![CDATA[Ep. 10: Are We in an AI Bubble?]]> Thu, 25 Sep 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2144635 https://chatgpt-curious.castos.com/episodes/ep-10-are-we-in-an-ai-bubble This episode takes a look at the hype surrounding AI and asks a simple question: Are we in a bubble? Spoiler alert: ABSOLUTELY. To make sense of it, I dig into the history of the dot-com boom and bust, walk through today’s AI financials, and explore what it might mean for companies, investors, and everyday people like you and me.

Main Topics Covered

  • Audience Q: ChatGPT vs. Gemini
  • What a bubble actually is
  • Story of the dot-com bubble
  • Today’s AI numbers: OpenAI and Anthropic
  • How greed fuels investment
  • Oracle’s $300B OpenAI deal and “jumping the shark”
  • Neuro-symbolic AI and Gary Marcus
  • Who loses when the bubble bursts
  • How I used ChatGPT this week: Agent mode for car rentals

Links & Resources for This Episode

Chapters

  • (00:00:00) - ChatGPT Curious
  • (00:00:38) - Are We In An AI Bubble?
  • (00:01:18) - ChatGPT vs. Gemini: Should I Switch?
  • (00:04:24) - The AI Bubble Explained
  • (00:08:22) - OpenAI is projected to lose $115 billion through 2029
  • (00:13:36) - Investment in AI is a Ponzi Scheme
  • (00:16:07) - OpenAI Jumps the Shark With Oracle
  • (00:18:55) - GPT 5: OpenAI's Best Days Are Behind It
  • (00:19:29) - Getting to AGI with OpenAI
  • (00:24:23) - We're In A Bubble in AI
  • (00:26:43) - How I Use ChatGPT
  • (00:29:49) - Thanks for Reading & Review!
]]> full 10 true This episode takes a look at the hype surrounding AI and asks a simple question: Are we in a bubble? Spoiler alert: ABSOLUTELY. To make sense of it, I dig into the history of the dot-com boom and bust, walk through today’s AI financials, and explore what it might mean for companies, investors, and everyday people like you and me.

Main Topics Covered

  • Audience Q: ChatGPT vs. Gemini
  • What a bubble actually is
  • Story of the dot-com bubble
  • Today’s AI numbers: OpenAI and Anthropic
  • How greed fuels investment
  • Oracle’s $300B OpenAI deal and “jumping the shark”
  • Neuro-symbolic AI and Gary Marcus
  • Who loses when the bubble bursts
  • How I used ChatGPT this week: Agent mode for car rentals

Links & Resources for This Episode

]]> 00:31:00 <![CDATA[Ep. 9: Helpful ChatGPT Features You Might Not Know About]]> Thu, 18 Sep 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2138830 https://chatgpt-curious.castos.com/episodes/ep-9-helpful-chatgpt-features-you-might-not-know-about 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.

Main Topics Covered

  • ChatGPT Release Notes and how to find them
  • Personalization settings (desktop + mobile)
  • Managing and customizing memory
  • Personality modes and interaction styles
  • Customizing ChatGPT’s voice options
  • Projects, project-only memory, and instructions
  • Study Mode: toggle vs. manual prompting
  • How I used ChatGPT this week: lifting cycle + exercise swaps

Links & Resources for This Episode

Chapters

  • (00:00:00) - ChatGPT Curious
  • (00:00:38) - 5 ChatGPT Hidden Features You Need to Know
  • (00:02:30) - Two helpful features of ChatGPT that you didn't know
  • (00:03:55) - ChatGPT: The ability to personalize the memory
  • (00:07:46) - Can You Customize ChatGPT?
  • (00:11:09) - Podcast: The Voice feature
  • (00:13:25) - ChatGbt: Projects now available for the Free tier
  • (00:18:41) - Facebook Chatbot: Improve the Experience for Everyone
  • (00:19:44) - ChatGPT: Best Feature Study Mode
  • (00:20:22) - Facebook Learning: "Study Mode" or "Manual Mode?"
  • (00:24:35) - How I Use ChatGPT This Week
]]> full true 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.

Main Topics Covered

  • ChatGPT Release Notes and how to find them
  • Personalization settings (desktop + mobile)
  • Managing and customizing memory
  • Personality modes and interaction styles
  • Customizing ChatGPT’s voice options
  • Projects, project-only memory, and instructions
  • Study Mode: toggle vs. manual prompting
  • How I used ChatGPT this week: lifting cycle + exercise swaps

Links & Resources for This Episode

]]> 00:29:42 <![CDATA[Ep. 8: Getting ChatGPT to Do What You Want]]> Thu, 11 Sep 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2132702 https://chatgpt-curious.castos.com/episodes/ep-8-getting-chatgpt-to-do-what-you-want 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.

Main Topics Covered

  • Prompting = communication
  • Why prompt obsession is overblown
  • Why I don’t give you “best prompt” templates
  • Never ask it to create from scratch
  • Quality input = Quality output
  • The 7 Clarity Items
  • Bonus strategies to try
  • Reverse prompting recap
  • Where ChatGPT still falls short
  • Relational fuckery and AI
  • How I used it this week: Model switching

Links & Resources for This Episode

Chapters

  • (00:00:00) - ChatGPT Curious
  • (00:00:38) - Curious on Chat GPT
  • (00:01:56) - The Curious Companion: Amy's Questions
  • (00:02:59) - How to Leave a Review on Apple
  • (00:04:11) - Getting Chat GPT to Do What You Want
  • (00:07:45) - ChatGPT: Better Memory, Better Output
  • (00:10:39) - Chat GPT
  • (00:11:35) - 7 Things You Need To Write For Your Presentation
  • (00:13:08) - How to Use ChatGPT for Creativity
  • (00:18:20) - 7 Confirmatory Items for Chat GPT
  • (00:20:30) - Chat GPT Bonus Strategy: Ask Chat GPT to Interview
  • (00:21:14) - You Don't Need To Describe Your Requirement
  • (00:22:05) - ChatGPT: How to minimize the back and forth
  • (00:25:53) - ChatGPT: The AI of Conversations
  • (00:27:26) - Chat GPT: GPT5 vs 4.0
  • (00:29:44) - Cognitive Defenses
]]> full 8 true 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.

Main Topics Covered

  • Prompting = communication
  • Why prompt obsession is overblown
  • Why I don’t give you “best prompt” templates
  • Never ask it to create from scratch
  • Quality input = Quality output
  • The 7 Clarity Items
  • Bonus strategies to try
  • Reverse prompting recap
  • Where ChatGPT still falls short
  • Relational fuckery and AI
  • How I used it this week: Model switching

Links & Resources for This Episode

]]> 00:30:42 <![CDATA[Ep. 7: What is AI?]]> Thu, 04 Sep 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2127682 https://chatgpt-curious.castos.com/episodes/ep-7-what-is-ai 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.)

Main Topics Covered

  • Creating informed consumers
  • “AI is…” exercise
  • A colloquial, plain-language definition for AI
  • Things That Are AI vs Things That Are NOT AI
  • AI as a kitchen sink marketing term
  • AI origin story: John McCarthy + the Dartmouth proposal
  • Official definitions from OECD and NIST
  • Understanding autonomy and “AI agents”
  • The forecast on AGI: artificial general intelligence
  • How I used ChatGPT this week: bulkhead light and bulb hunt

Links & Resources for This Episode

Chapters

  • (00:00:00) - ChatGPT Curious
  • (00:00:38) - What Is AI?
  • (00:03:57) - What is the Definition of AI?
  • (00:06:58) - A Taste of AI in 2017
  • (00:11:54) - Not AI: What Is It?
  • (00:16:53) - AI Agents and the Oxford Dictionary
  • (00:23:47) - AI Is Math, Not Scary
  • (00:27:49) - Putting a new light bulb in my yard on Chat GPT
  • (00:30:26) - Curious About ChatGPT
]]> full 7 true 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.)

Main Topics Covered

  • Creating informed consumers
  • “AI is…” exercise
  • A colloquial, plain-language definition for AI
  • Things That Are AI vs Things That Are NOT AI
  • AI as a kitchen sink marketing term
  • AI origin story: John McCarthy + the Dartmouth proposal
  • Official definitions from OECD and NIST
  • Understanding autonomy and “AI agents”
  • The forecast on AGI: artificial general intelligence
  • How I used ChatGPT this week: bulkhead light and bulb hunt

Links & Resources for This Episode

]]> 00:31:41 <![CDATA[Ep. 6: An Intro to Using ChatGPT for Content Creation]]> Thu, 28 Aug 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2116063 https://chatgpt-curious.castos.com/episodes/ep-6-an-intro-to-using-chatgpt-to-create-content In this episode I give an introduction to using ChatGPT for content creation with a focus on practical strategies for repurposing your own work. You’ll hear about reverse prompting, using Projects to save instructions, and how to keep your taste and voice at the center of what you create.

Main Topics Covered

  • Recent ChatGPT outages and possible reasons
  • Experimenting with Gemini and Google’s AI summary tool
  • Viewing everything as content
  • When using ChatGPT for content creation makes sense
  • Suggested steps for creating content
  • Picking a format, repurposing content, and reverse prompting
  • Utilizing the ‘Projects’ feature
  • Recent ChatGPT use: German translator

Links & Resources for This Episode

Chapters

  • (00:00:00) - ChatGPT Curious
  • (00:00:38) - ChatGPT: Introduction to Content Creation
  • (00:02:08) - ChatGPT Outage: Are You a Free User or a
  • (00:05:05) - ChatGPT Outage: How It Will Disrupt Search
  • (00:08:30) - Using ChatGPT for Content Creation
  • (00:11:07) - How to Use ChatGPT to Create Social Media Content
  • (00:14:33) - How to create social media content in 3 Steps
  • (00:17:13) - Introduction to Projects in ChatGPT
  • (00:22:14) - Curious Companion: Leaving a Review
]]> full 6 true In this episode I give an introduction to using ChatGPT for content creation with a focus on practical strategies for repurposing your own work. You’ll hear about reverse prompting, using Projects to save instructions, and how to keep your taste and voice at the center of what you create.

Main Topics Covered

  • Recent ChatGPT outages and possible reasons
  • Experimenting with Gemini and Google’s AI summary tool
  • Viewing everything as content
  • When using ChatGPT for content creation makes sense
  • Suggested steps for creating content
  • Picking a format, repurposing content, and reverse prompting
  • Utilizing the ‘Projects’ feature
  • Recent ChatGPT use: German translator

Links & Resources for This Episode

]]> 00:23:53 <![CDATA[Ep. 5: Can You Trust ChatGPT?]]> Thu, 21 Aug 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2112246 https://chatgpt-curious.castos.com/episodes/ep-5-can-you-trust-chatgpt In this episode, I dig into whether you can trust ChatGPT, and what that question reveals about trust in general. From model changes and user backlash to the three pillars of trust (benevolence, integrity, competency), I share why double-checking is anon-negotiable and how personal responsibility plays into using AI. We talk about media incentives, misinformation, and why “important” is a slippery, subjective word when it comes to verifying the answers that ChatGPT gives you.

Main Topics Covered

  • User reactions and model changes after GPT-5 rollout
  • ChatGPT as an assistant for known answers
  • What “hallucination” actually mean
  • The importance of verifying information
  • Trust and misinformation online
  • Social media’s role in shaping belief
  • Media incentives for clicks over accuracy
  • The foundations and four components of expertise
  • The three components of trust
  • Applying the trust framework to ChatGPT
  • Where personal responsibility fits in
  • Recent ChatGPT use: Suggestion mode and sentence checks

Links & Resources for This Episode

Chapters

  • (00:00:00) - ChatGPT Curious
  • (00:00:38) - Chat GPT: Can You Trust GPT 5?
  • (00:04:26) - Can You Trust ChatGPT?
  • (00:10:27) - Can I Trust ChatGPT?
  • (00:11:54) - Can We Trust? The Components of Expertise
  • (00:14:12) - Three Components to Building Trust
  • (00:18:27) - How to Use a Suggestion in Chat Gbt
  • (00:20:00) - Curious Podcast: The Curious Companion
]]> full 5 true In this episode, I dig into whether you can trust ChatGPT, and what that question reveals about trust in general. From model changes and user backlash to the three pillars of trust (benevolence, integrity, competency), I share why double-checking is anon-negotiable and how personal responsibility plays into using AI. We talk about media incentives, misinformation, and why “important” is a slippery, subjective word when it comes to verifying the answers that ChatGPT gives you.

Main Topics Covered

  • User reactions and model changes after GPT-5 rollout
  • ChatGPT as an assistant for known answers
  • What “hallucination” actually mean
  • The importance of verifying information
  • Trust and misinformation online
  • Social media’s role in shaping belief
  • Media incentives for clicks over accuracy
  • The foundations and four components of expertise
  • The three components of trust
  • Applying the trust framework to ChatGPT
  • Where personal responsibility fits in
  • Recent ChatGPT use: Suggestion mode and sentence checks

Links & Resources for This Episode

]]> 00:20:59 <![CDATA[Ep. 4: Overhyped or Underestimated: Is ChatGPT Coming for Your Job?]]> Thu, 14 Aug 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2110508 https://chatgpt-curious.castos.com/episodes/ep-4-overhyped-or-underestimated-is-chatgpt-coming-for-your-job So… is ChatGPT actually coming for your job? In this episode, I walk you through the GPT-5 release, what’s new, what’s noise, and why I think most folks won’t even notice a difference. We’ll talk about how AI is being used at work, why the headlines can be misleading, where the tech still falls short, and why job-loss predictions are far from straightforward.

Main Topics Covered

  • Key GPT-5 updates for users
  • OpenAI’s “phD-level intelligence” claim
  • New email and calendar integration
  • Benchmark testing and hallucination improvements
  • AI hype vs. real job impact
  • Media narratives around AI job loss
  • Microsoft study on AI and job tasks
  • Defining “agents”, “agentic”, an “AGI”
  • Summary of ChatGPT’s potential and limits
  • Advice for AI-proofing your job
  • How I used ChatGPT to create the podcast intro music

Links & Resources for This Episode

Chapters

  • (00:00:00) - ChatGPT Curious
  • (00:00:38) - The Curious Companion
  • (00:02:23) - Chat GPT 5: What You'll Notice
  • (00:08:32) - Is AI Coming for Your Job?
  • (00:10:38) - Does AI Threaten Your Job?
  • (00:16:44) - AI Agents, AGI and ChatGPT
  • (00:23:10) - GPT: Future Proofing Your Workforce
  • (00:23:59) - How I Use ChatGPT to Generate Music For My Podcast
  • (00:25:26) - Curious Planet
]]> full 4 true So… is ChatGPT actually coming for your job? In this episode, I walk you through the GPT-5 release, what’s new, what’s noise, and why I think most folks won’t even notice a difference. We’ll talk about how AI is being used at work, why the headlines can be misleading, where the tech still falls short, and why job-loss predictions are far from straightforward.

Main Topics Covered

  • Key GPT-5 updates for users
  • OpenAI’s “phD-level intelligence” claim
  • New email and calendar integration
  • Benchmark testing and hallucination improvements
  • AI hype vs. real job impact
  • Media narratives around AI job loss
  • Microsoft study on AI and job tasks
  • Defining “agents”, “agentic”, an “AGI”
  • Summary of ChatGPT’s potential and limits
  • Advice for AI-proofing your job
  • How I used ChatGPT to create the podcast intro music

Links & Resources for This Episode

]]> 00:26:22 <![CDATA[Ep. 3: Is ChatGPT Killing Creativity?]]> Thu, 07 Aug 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2102373 https://chatgpt-curious.castos.com/episodes/ep-3-is-chatgpt-killing-creativity In this episode I answer the question “Is ChatGPT killing creativity?” with a resounding no, and then unpack why I think that question even exists in the first place. I talk about what people are really reacting to, how our systems reward speed over depth, and why I see ChatGPT not as the problem, but as a mirror. We also take a detour into college, capitalism, and Cabo.

Main Topics Covered

  • Why ChatGPT isn’t killing creativity
  • What “bullish” means and why I’m actually excited about
  • The Great AI Reckoning: asking what really matters
  • Covid as the spark for questioning value systems
  • People using AI for things they don’t care about
  • Rejecting the idea of laziness
  • Systemic rewards for speed and flash over depth
  • The failures of traditional education
  • Critique of extractive capitalism
  • ChatGPT as a tool to support life
  • Real-life use case: chargeback script for Cabo resort

Links & Resources for This Episode

Chapters

  • (00:00:00) - ChatGPT Curious
  • (00:00:38) - Is CHAT GPT Killing Creativity?
  • (00:01:38) - Is ChatGPT killing creativity now?
  • (00:03:33) - ChatGPT: Is It Killing Creativity?
  • (00:04:43) - The Great AI Reckonance
  • (00:08:11) - How to Talk to Students About the Environment
  • (00:10:52) - Does ChatGPT Kill Creativity?
  • (00:14:12) - How I Use ChatGPT
]]> full 3 true In this episode I answer the question “Is ChatGPT killing creativity?” with a resounding no, and then unpack why I think that question even exists in the first place. I talk about what people are really reacting to, how our systems reward speed over depth, and why I see ChatGPT not as the problem, but as a mirror. We also take a detour into college, capitalism, and Cabo.

Main Topics Covered

  • Why ChatGPT isn’t killing creativity
  • What “bullish” means and why I’m actually excited about
  • The Great AI Reckoning: asking what really matters
  • Covid as the spark for questioning value systems
  • People using AI for things they don’t care about
  • Rejecting the idea of laziness
  • Systemic rewards for speed and flash over depth
  • The failures of traditional education
  • Critique of extractive capitalism
  • ChatGPT as a tool to support life
  • Real-life use case: chargeback script for Cabo resort

Links & Resources for This Episode

]]> 00:17:16 <![CDATA[Ep. 2: ChatGPT and the Environment: Energy, Water, and Carbon Emissions]]> Thu, 07 Aug 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2101807 https://chatgpt-curious.castos.com/episodes/ep-2-chatgpt-and-the-environment-energy-water-and-co2 In this episode I dig into the environmental impact of using ChatGPT: energy use, water consumption, and carbon emissions. I walk through the research, acknowledge the risk of whataboutism, and explain why comparisons to other systems matter when we're talking about true impact. Adopting a both/and approach, this episode is absolutely not about letting ChatGPT off the hook, it’s about putting things in perspective so we can take action on what will actually move the needle.

Main Topics Covered

  • Why this is episode 2 and why the topic matters
  • Ramit Sethi’s $30K vs $3-question analogy
  • The math behind ChatGPT’s energy use
  • The origin (and problems) with the “3Wh per query” stat
  • What .3Wh per query actually looks like in real-world use
  • The difference between inference and training impact
  • How ChatGPT kicked off the AI arms race
  • Where most AI energy actually goes (spoiler, it's not ChatGPT)
  • The hidden energy behind everything else we use
  • How water usage is measured across three scopes
  • ChatGPT’s water use vs typical U.S. electricity and food systems
  • Why carbon emissions highlight the need for more transparency
  • The repeating citations problem in media coverage
  • What actually makes the biggest environmental difference
  • Concerns about future energy use from agentic models
  • Why transparency from companies matters
  • This episode as a call for participatory awareness, not panic

Links & Resources For This Episode

Chapters

  • (00:00:00) - ChatGPT Curious: The Files in the Computer
  • (00:00:55) - ChatGPT & the Environment
  • (00:04:12) - Sam Altman's Cheat Code for ChatGPT
  • (00:05:29) - How a Google Search Uses 10 Times More Energy than a Standard Search
  • (00:14:05) - ChatGPT Uses 3 Watt Hours of Energy
  • (00:20:57) - Netflix's 150 Million Daily Users
  • (00:21:39) - The Impact of Inference on the Environment
  • (00:26:25) - Energy and Water Footprint
  • (00:30:21) - How Much Water Does ChatGPT Actually Use?
  • (00:36:46) - How AI Could Use More Water Than Us!
  • (00:42:50) - The Biggest Dial Mover
  • (00:44:01) - Carbon and Energy
  • (00:46:30) - Searching for Literature in the Dark
  • (00:49:44) - Don't Waste Your Energy on ChatGPT
  • (00:53:01) - A Short Episodes on the Environment
  • (00:54:14) - How I Use ChatGPT
  • (00:56:27) - ChatGPT's Impact on the Environment
]]> full 2 true In this episode I dig into the environmental impact of using ChatGPT: energy use, water consumption, and carbon emissions. I walk through the research, acknowledge the risk of whataboutism, and explain why comparisons to other systems matter when we're talking about true impact. Adopting a both/and approach, this episode is absolutely not about letting ChatGPT off the hook, it’s about putting things in perspective so we can take action on what will actually move the needle.

Main Topics Covered

  • Why this is episode 2 and why the topic matters
  • Ramit Sethi’s $30K vs $3-question analogy
  • The math behind ChatGPT’s energy use
  • The origin (and problems) with the “3Wh per query” stat
  • What .3Wh per query actually looks like in real-world use
  • The difference between inference and training impact
  • How ChatGPT kicked off the AI arms race
  • Where most AI energy actually goes (spoiler, it's not ChatGPT)
  • The hidden energy behind everything else we use
  • How water usage is measured across three scopes
  • ChatGPT’s water use vs typical U.S. electricity and food systems
  • Why carbon emissions highlight the need for more transparency
  • The repeating citations problem in media coverage
  • What actually makes the biggest environmental difference
  • Concerns about future energy use from agentic models
  • Why transparency from companies matters
  • This episode as a call for participatory awareness, not panic

Links & Resources For This Episode

]]> 00:58:25 <![CDATA[Ep. 1: What You Actually Need to Know About ChatGPT]]> Thu, 07 Aug 2025 08:00:00 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2101804 https://chatgpt-curious.castos.com/episodes/ep-1-what-you-actually-need-to-know-about-chatgpt In this episode of ChatGPT Curious, I lay the groundwork for understanding what ChatGPT actually is, without getting too lost in the weeds. I break down key terms like LLM and parameters, explain how the model was trained (hint: lots of math), why it sometimes spits out wrong info, and what all of this means for how you use it. I also touch on the environmental cost, what the free vs. paid versions can actually do, and how to think critically about its outputs. If you've ever felt a little confused, a little curious, or both, this one's for you.

Main Topics Covered

  • Why it’s worth understanding the foundation of ChatGPT
  • What is ChatGPT?
  • Brief history of OpenAI and the development of GPT
  • What GPT actually stands for and what changed with each version
  • What “parameters” are and how they shape the model’s responses
  • How language is turned into numbers via tokens
  • What happens during training
  • Human involvement in model training via RLHF (reinforcement learning with human feedback)
  • Probabilistic vs deterministic systems and what that means for output accuracy
  • The environmental cost of “compute” and an analogy for mindful use
  • What the free version can do (and can’t), including search, uploads, and voice
  • What the paid version offers
  • What ChatGPT is not
  • What to watch out for
  • Real-life use case: Trying to fix a bike derailleur using ChatGPT

Links & Resources for This Episode

Chapters

  • (00:00:00) - ChatGPT Curious
  • (00:00:38) - What Is ChatGPT?
  • (00:02:47) - ChatGPT
  • (00:04:32) - parameters of OpenAI's LLMs
  • (00:06:11) - Laplike 2.8
  • (00:13:31) - ChatGPT and the Probability of Outputs
  • (00:19:22) - ChatGPT: Algorithms That Predict the Next Word
  • (00:21:39) - ChatGPT: Probabilistic Models (
  • (00:28:28) - ChatGPT: What Can ChatGPT Do?
  • (00:31:00) - What to Watch Out For With ChatGPT
  • (00:36:13) - A Brief History of Chat GPT
]]> full 1 true In this episode of ChatGPT Curious, I lay the groundwork for understanding what ChatGPT actually is, without getting too lost in the weeds. I break down key terms like LLM and parameters, explain how the model was trained (hint: lots of math), why it sometimes spits out wrong info, and what all of this means for how you use it. I also touch on the environmental cost, what the free vs. paid versions can actually do, and how to think critically about its outputs. If you've ever felt a little confused, a little curious, or both, this one's for you.

Main Topics Covered

  • Why it’s worth understanding the foundation of ChatGPT
  • What is ChatGPT?
  • Brief history of OpenAI and the development of GPT
  • What GPT actually stands for and what changed with each version
  • What “parameters” are and how they shape the model’s responses
  • How language is turned into numbers via tokens
  • What happens during training
  • Human involvement in model training via RLHF (reinforcement learning with human feedback)
  • Probabilistic vs deterministic systems and what that means for output accuracy
  • The environmental cost of “compute” and an analogy for mindful use
  • What the free version can do (and can’t), including search, uploads, and voice
  • What the paid version offers
  • What ChatGPT is not
  • What to watch out for
  • Real-life use case: Trying to fix a bike derailleur using ChatGPT

Links & Resources for This Episode

]]> 00:40:29 <![CDATA[Trailer: Welcome to Prompting Curiosity]]> Mon, 14 Jul 2025 21:11:46 +0000 Dr. Shanté Cofield aka The Maestro https://permalink.castos.com/podcast/65860/episode/2088257 https://chatgpt-curious.castos.com/episodes/trailer-welcome-to-chatgpt-curious Welcome to the trailer episode of Prompting Curiosity! In this episode I lay out why I created the show, what kind of topics I’ll be exploring, and how I hope it supports your curiosity. From basic terms to big-picture questions, the goal is to make AI more useful, less overwhelming, and maybe even a little fun.

Main Topics Covered

  • Why I started this podcast
  • Deep dive into ChatGPT since 2022
  • What this show will cover
  • Terms like LLM, AGI, and parameters
  • Two major AI camps
  • Let’s have some nuance
  • My background and tech tenacity
  • Health and fitness roots
  • Who this show is for
  • New episodes and newsletter info

Links & Resources For This Episode

Chapters

  • (00:00:00) - ChatGPT Curious
  • (00:00:38) - ChatGPT: Curious
  • (00:02:48) - ChatGPT Curious: How AI Can Help You (
]]> trailer true Welcome to the trailer episode of Prompting Curiosity! In this episode I lay out why I created the show, what kind of topics I’ll be exploring, and how I hope it supports your curiosity. From basic terms to big-picture questions, the goal is to make AI more useful, less overwhelming, and maybe even a little fun.

Main Topics Covered

  • Why I started this podcast
  • Deep dive into ChatGPT since 2022
  • What this show will cover
  • Terms like LLM, AGI, and parameters
  • Two major AI camps
  • Let’s have some nuance
  • My background and tech tenacity
  • Health and fitness roots
  • Who this show is for
  • New episodes and newsletter info

Links & Resources For This Episode

]]> 00:06:22