AI with Kyle

Epizode

• 204: What do you ask the smartest AI in the world? (but you only get one shot) 04.07.2026 13min

  Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary:  Fable 5 is back on the normal Claude subscription, but only for a few days, and then it vanishes behind a genuinely eye-watering price. Which puts you in an odd spot: the smartest AI in the world is sitting in your app, and you have roughly one prompt a day to use it. So the question stops being what it can do, and becomes what on earth you should ask it. This video is my answer, built around one idea: treat it less like a chatbot and more like the Oracle of Delphi. I walk through the method I have been using all week. Leave the mundane jobs to the cheaper models. Use one of those cheaper models to help you draft the question first, then hand the finished thing to Fable 5 in a single fully specced shot, with a safety net so it never has to come back and ask. And the questions worth your one shot are the uncomfortable ones. Where am I wasting my time. What am I avoiding. What would embarrass me if someone sharp studied my work for an hour. Big model, big questions. It turns out the hard part was never the AI. —— Time Stamps —— 00:00 Fable Is Back: You Have Until July 7th01:33 Fable Will Be the New Normal02:07 Two Mistakes People Are Making With Fable03:23 The Right Mindset: Big Model, Big Problems04:49 Use a Dumber AI to Write Your Fable Prompts06:34 Usage Limits & the One-Prompt Strategy07:45 How I Use Fable: Brutal Self-Challenge Questions09:26 The Real Skill: Asking Better Questions10:45 Time-Sensitive: Why $20 Is Worth It Right Now12:05 Your Homework This Weekend13:04 Resources & Wrap-Up — Useful Resources —— Find everything else at https://aiwithkyle.com/
• 203: Open Source AI Explained 03.07.2026 24min

  Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary:  Everyone's suddenly an expert on open source AI, and almost nobody's using the term correctly. I break down what open weights actually means, why it's not the same as open source and definitely not the same as free, and why your laptop has zero chance of running a 753 billion parameter model no matter how many browser tabs you close first. I walk through Hugging Face, show you what's actually inside these model files, and explain the real difference between downloading a model and being able to run one. If you've heard people throw around GLM, DeepSeek or Qwen and nodded along without having a clue what any of it means, this sorts it out in non tech speak. —— Time Stamps —— 0:00 Open Source vs Open Weight AI: Why It Matters0:40 The Open Source Price War: Why Anthropic & OpenAI Are Scared1:49 Claude Sonnet 5 vs GLM 5.2: Anthropic's IPO Nightmare3:15 What Open Source Actually Means (It's Not Free)4:48 Open Weights vs Open Source: The Taxi, Car & Kit Car Analogy7:08 How to Download AI Models: Hugging Face Walkthrough8:06 Inside GLM 5.2: Licenses, Safetensors & 753 Billion Parameters10:32 Running AI Models Locally: Hardware Requirements & Quantization11:55 American vs Chinese Open Source Models: Who's Left in the Game13:34 Open Source AI Rankings: The Top Models Are All Chinese14:57 Trillion-Dollar IPOs vs China's Undercut Strategy17:58 Cost Per Intelligence: $2.75 vs 50 Cents Per Task20:39 The AI Triage System: Which Model for Which Task23:06 Newsletter, Webinar & How to Get Paid Teaching AI — Useful Resources —— Find everything else at https://aiwithkyle.com/
• 202: Will You Get Access to the Best AI? (ChatGPT 5.6 BANNED) 01.07.2026 17min

  Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary:  I want to talk about something that's been bothering me for weeks now. GPT 5.6 just landed, and it's not coming to you or me. It's going straight to a vetted list approved by the US government, the same thing that happened to Claude Mythos and Fable not long before it. In this one I break down what's actually in the GPT 5.6 release, how Sol and Terra compare to Mythos on the benchmarks that matter, and why the real question in 2026 isn't whether a model is smart anymore. Every model is smart now. The question is whether you're allowed to use it. Then I get into what to actually do about it. I cover open source alternatives like GLM and Gemma, why running a model locally on your own machine has gone from a nerdy side project to a genuinely sensible backup plan, and how to start spreading your dependence across more than one provider before the next lockdown happens. If you run a business on any of these tools, this is the part you really shouldn't skip. —— Time Stamps —— 0:00 Why I'm Disillusioned With AI for the First Time0:51 AI Lockdowns: Fable Banned & GPT-5.6 Restricted2:52 Meet GPT-5.6: Sol, Terra & Luna Model Family4:16 Too Dangerous to Release: The US Government Steps In5:44 The Benchmarks: Just as Powerful, Far More Efficient8:39 The Real Threat: Bioweapons & Hacking Banks9:10 The Permission Era: A New Digital Divide10:11 The Fix: Open Weights & Open Source10:48 Chinese Open Source Models: GLM 5.2 Max11:41 Run Powerful AI Locally on Your Own Machine13:12 Dario Amodei's Crusade Against Open Source13:56 How to Set Up Local Models on Your Devices14:27 Don't Depend on One Model (or One Country)15:53 The New Question: Do You Even Have Access?16:51 IPO Fallout & Final Thoughts — Useful Resources —— Find everything else at https://aiwithkyle.com/
• 201: The Complete Guide to Building an AI Second Brain 24.06.2026 12min

  Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary:  Today I'm tackling the problem nearly everyone using AI seriously eventually hits: your tools don't talk to each other. ChatGPT on your phone has no idea what Claude Code did on your desktop, and Codex on your laptop is working blind to both. I walk through how to build a vendor agnostic AI vault, a shared brain made of simple markdown files that any tool can read, so your context stops getting lost between apps. I show you how to get an AI to interview you and build the entire folder structure for you, no technical setup required, and where GitHub and Obsidian actually fit into the picture (hint: Obsidian is for you, not the AI). If you've seen those gorgeous Obsidian graph diagrams floating around and felt like you were missing something, this clears it up. I explain why the vault, not Obsidian, is the actual brain, why GitHub is the smartest way to sync it across devices, and how to keep growing the system over time so it gets more useful the more you use it. Whether you're juggling client projects, personal life admin or a dozen half finished side builds, this gives every AI tool you use the same source of truth. —— Time Stamps —— 0:00 The Problem: Your AI Tools Don't Share Memory0:36 The Obsidian Vault Hype, Explained Simply1:30 Why Your AI Context Is Scattered in 20262:39 What Is a Markdown File?4:17 How Obsidian Works and Why the Vault Matters More5:33 Structuring Your Vault: Personal, Business, Projects6:35 Let the AI Interview You to Build It7:14 README, AGENTS.md and CLAUDE.md Explained9:13 Use Claude Code or Codex: The Interview Prompt10:02 Pro Tip: Use a Microphone and Just Talk10:38 Make It a GitHub Repo for a Durable Vault11:47 Recap: Obsidian Is Optional, Start Now12:27 Wrap-Up and Free Newsletter — Useful Resources —— Find everything else at https://aiwithkyle.com/
• 200: Fable 5 BANNED: If You're Not American, Sorry. 17.06.2026 31min

  Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary:  The most advanced AI model ever released to the public, Anthropic's Fable 5, was pulled from shelves roughly 48 hours after launch. Not by Anthropic. By the US government, citing national security and export control concerns. The ban applies to all foreign nationals, meaning non-US citizens are locked out entirely. I went through the full timeline on the live: the jailbreak, the Amazon angle, David Sacks' government-side narrative, and why Dario Amodei arguably talked his own model into a ban by spending months telling everyone it was a weapon. The more interesting question though isn't whether we get Fable back. It's what this reveals about the structure underneath all of it. You don't own your AI access. It's rented land. A government or a boardroom decision and it's gone, sometimes with 90 minutes' notice. In this one I get into what that actually means practically: local models, open source alternatives, the geopolitical chess game between the US and China, and the one skill that matters regardless of which model you're using.  —— Time Stamps —— 0:00 Fable & Mythos Banned: What Happened and Why It Matters0:51 Background: Fable vs Mythos, Project Glasswing & the "Super Weapon"2:58 Why People Fell in Love With Fable 5 (Expert Reactions)7:10 The Ban Timeline: Launch, Backlash & the 90-Minute Export Order9:52 What Triggered the Ban? Speculation & the Enforcement Problem11:29 The David Sacks Narrative: The Government's Side of the Story13:50 Pliny Jailbreaks Fable 515:15 Anthropic vs the Administration: The Standoff17:38 The Foreign National Rule & the Digital ID Threat20:09 Why You Should Learn Local & Open-Source Models (LM Studio Guide)24:34 Think Bigger: The Real Skill as AI Keeps Improving25:42 Big Open Questions: China, the IPO & AI Geopolitics29:00 Newsletter & Webinar: Get Paid to Teach AI — Useful Resources —— Find everything else at https://aiwithkyle.com/
• 199: Claude Fable 5 & Mythos: The Most Powerful AI Model Ever Built 15.06.2026 19min

  Hand big work to AI without getting burned (Free Guide): https://aiwithkyle.com/mini/fable-commissioning Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary:  Claude Fable 5 and Mythos are here, and they've quietly split the AI world in two. In this episode I break down exactly what these models are, why most people are only getting Fable and not Mythos, and what the June 22nd deadline actually means for your access. The hierarchy has shifted: it no longer goes Opus, Sonnet, Haiku. There's a new tier above all of that, and it costs significantly more than your current subscription.The uncomfortable truth is that $200 a month now puts you in the lower class of AI user. The models capable of genuinely transformative work are heading toward pay-per-use pricing at roughly $40 an hour, and only businesses with serious cash flow will run them at scale. I cover what this bifurcation means practically, who it affects, and how to get the most out of Fable while you still have free access.  —— Time Stamps —— 0:00 This Week in AI: Mythos, Fable 5 & the IPO News1:20 First Impressions: Why Fable 5 Feels Like a Step Change3:13 Prompting vs. Commissioning: A New Way to Work With AI4:55 The Backstory: "Most Dangerous Model," Glasswing & the IPO6:13 The New Model Hierarchy: Where Fable Fits7:00 Safeguards: Why Biomedical Researchers Got Cut Off7:50 Ethan Mollick's Isochronic Map: What Fable Can Really Do9:02 AI as a $40-an-Hour Employee & the Impact on Jobs10:37 The Black Box Problem & Distillation Attacks11:56 Is Fable Overkill? When Not to Use It12:38 Solving Big Problems: The Youth Unemployment Case Study13:42 The June 22nd Cutoff & the AI Wealth Divide16:15 Controversies: Gatekeeping, Jailbreaks & Transparency17:42 AI for the People or the Elites? OpenAI's Opening18:50 Wrap-Up & Free Newsletter — Useful Resources —— Find everything else at https://aiwithkyle.com/
• 198: AI SEO: How to Show Up in ChatGPT & AI Overviews 08.06.2026 16min

  Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary:  AI search is eating into Google and if your business isn't showing up inside ChatGPT, Claude, or Google's AI Overviews, you're already behind. In this video I go through what Ahrefs found across 1 billion data points and 14 studies: which content formats actually get cited by AI, why schema markup does essentially nothing, and why YouTube turns out to be the single strongest signal for AI brand visibility. Yes, really. Practical stuff only. Blog listicles, homepage rewrites, reviews, directories, podcasts, and a YouTube strategy most businesses are completely sleeping on. Nobody's even agreed on a name for this yet (GEO? AEO? LLM SEO?) but the playbook is simpler than you'd think. —— Time Stamps —— 0:00 Intro: How to Be Discoverable Inside AI01:07 What Do We Even Call It? AI SEO vs GEO vs AEO1:39 AI Still Looks for Real Evidence Across Surfaces2:59 Blog Listicles: ChatGPT's #1 Cited Content Format3:40 Chatbots vs Google AI Overviews Explained5:34 Wikipedia & the Sources Marketers Can't Control6:35 The Hidden Discovery Layer: Zero Google Visibility7:46 Retrieved vs Cited: ChatGPT's 50% Citation Gap8:27 Off-Site Signals: Reviews, Podcasts & Directories9:22 Why YouTube Is the #1 Signal for AI Visibility10:43 How AI Overviews Are Killing Your Website Clicks12:28 Comparison Pages & Why Schema Markup Is a Waste14:36 Stop Tricking the Algorithm — Just Be Useful15:19 The Practical AI Visibility Checklist16:17 Wrap-Up & Free Resources — Useful Resources —— Find everything else at https://aiwithkyle.com/
• 197: How To Get Paid For AI 05.06.2026 17min

  Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary:  AI is getting very good at writing, coding, and creating polished content. So good, in fact, that polish is now the least interesting thing you can offer. In this one I make the case that the most valuable skill you can build right now is getting on camera and talking, because that is exactly what AI cannot replicate convincingly. I walk through the full progression from short-form video to livestreaming to paid AI workshops for businesses, and why non-technical communicators are the people companies actually want to hire. You have a phone and an opinion. That is genuinely all you need to start —— Time Stamps —— 0:00 Public Speaking & "Yapping": Your AI-Proof Skill1:26 Why Polished Content Now Kills Your Engagement3:34 From Short-Form Video to the Stage: The Progression7:16 Don't Hide Behind AI Avatars or Voice Clones9:14 Turn Content Into a Business (and Niche Down)12:03 What "Yap" Content Is & Twitter's Video React13:09 The Fundamentals of Yap Content14:45 How to Start: Phone, Apps & Recording Tips16:58 Final Thoughts: Why Being Human Wins — Useful Resources —— Find everything else at https://aiwithkyle.com/
• 196: AI 101: Tokens, Context Windows & Why AI Makes Dumb Mistakes Explained 03.06.2026 27min

  Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary:  Tokenization is one of those concepts that sounds technical until you realise it explains basically everything. Why AI can't count the letters in "raspberry." Why a bigger context window sometimes makes things worse. Why your API bill might be quietly spiralling. This is a 101 lesson on tokens: what they actually are, how models use them, and why the common assumption that a token equals a word is close but not quite right. The second half gets into context windows, the working memory of a model, and why the "just give it everything" instinct is both expensive and counterproductive. Whether you're building on the API or just a heavy user wondering why long threads start getting weird, understanding this stuff changes how you work. Also, token maxing is a trend and it is, in my view, a bit dumb. We get into that too. —— Time Stamps —— 0:00 Intro: What Tokenization Is & Why It Matters1:27 Tiktokenizer Demo: How Words Break Into Tokens4:18 Token IDs: How Models Store Words as Numbers5:35 Tokens Across Languages: Why English Is Cheapest7:59 The Raspberry Problem: Why AI Can't Count Letters9:49 Context Windows Explained: What "1 Million Tokens" Means11:40 Context Compaction: Why Chats No Longer Cut You Off13:27 Why a Bigger Context Window Isn't Always Better16:18 API Pricing: How Tokens Drive Your AI Costs18:42 "Token Maxing": The Wasteful AI Trend to Avoid20:13 Finding Real Context Limits & DeepSeek vs GPT Pricing22:36 Rules of Thumb: Optimize for Useful Context25:12 Wrap-Up & Andrej Karpathy Recommendation26:20 Newsletter & Sign-Off — Useful Resources —— Find everything else at https://aiwithkyle.com/
• 195: How to Use Codex Pulses (and Delete Your To-Do App) 01.06.2026 15min

  Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary:  Codex Pulses are dedicated AI threads that run on a schedule, collect everything you throw at them, and send you a triage report every morning. Credit to Dan Shipper for the original idea. I tried it, built my own version, and haven't opened a to-do app since. This is the full setup walkthrough.The system works like this: you speak into the Codex mobile app on your phone, it syncs to your home computer, and your pulses do the processing overnight. Thought capture, to-dos, things to buy, content ideas. Each gets its own thread, its own rules, its own output. No coding required, no complex configuration (like Open Claw), just chat. —— Time Stamps —— 0:00 Intro: What Are Codex Pulses?0:56 Dan Shipper's Codex Power User Method2:07 What Is a Pulse? Building Your Own Threads3:29 Codex vs OpenClaw: Why Focused Beats Broad4:02 Capturing on Mobile: Your Home Computer as Command Center5:41 Daily Reviews & Proactive AI Automation7:32 Kyle's 5 Capture Pulses: Thoughts, To-Dos & Content Ideas10:37 To-Do & Buy Capture: Auto-Sorting Your Purchases12:05 The Codex Mobile App: The Real Game-Changer13:20 Getting Started: Codex Pricing & Setup Walkthrough15:15 Recap & Wrap-Up — Useful Resources —— Find everything else at https://aiwithkyle.com/
• 194: The AI Job Audit: Will AI Take Your Job? 29.05.2026 16min

  Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: AI isn't going to tap you on the shoulder and tell you you're redundant. It's quieter than that. What's actually happening is a slow compression of the tasks that make up your working week, and if you're not paying attention to which ones are at risk, you'll be caught out. In this video, I walk you through how to break your job down into its component tasks, identify which ones are genuinely defensible, and work out where to focus your energy.I've also built a diagnostic tool that does a lot of the heavy lifting for you. You put in your job title, add a description, and it maps your weekly tasks against labour market exposure data to give you a real picture of where you stand. It's free. The link's above. But even if you want to run this manually first, I show you exactly how to do that in this video too. It's not about doom, it's about knowing where you actually are. —— Time Stamps —— 0:00 Will AI Take Your Job? The Real Threat Explained1:30 Why Every Job Is a Bundle of Tasks2:46 Exposed Edges vs Defensible Tasks (Accountant & Zookeeper)4:06 How AI Quietly Shrinks Headcount6:04 Why Gen Z and Entry-Level Workers Get Hit First7:32 The Productivity Myth and the Demand Problem9:27 Second-Order Effects: Why No Industry Is Safe10:54 The DIY Job Audit: Map Your Weekly Tasks12:51 Build Your Human Edge: Skills AI Can't Replace14:43 Your Action Plan and the AI Job-Risk Tool — Useful Resources —— Find everything else at https://aiwithkyle.com/
• 193: Here's how I find what to automate with AI (and what NOT to) 27.05.2026 19min

  Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: I've seen too many people rush straight into building AI agents for tasks that don't need them. This is the corrective. Starting from a viral prompt retweeted by Greg Brockman, OpenAI's co-founder, I walk through a proper workflow audit - how to find the tasks in your actual working week that are genuinely worth automating, and how to spot the ones that aren't.The framework is simple: audit your real work first, then match the fix to the job. A reusable prompt in a Word doc beats a managed cloud agent if that's all the task needs. I also show you how to put your AI into interview mode to surface repeating workflows you didn't even know you had. A practical system for getting more done with less friction. —— Time Stamps —— 0:00 The Viral Self-Improvement Prompt (Greg Brockman + Vaibhav)4:06 Why You Shouldn't Automate for the Sake of It5:29 How to Audit Your Real Weekly Workflows7:19 When NOT to Automate: Avoid the Over-Engineering Trap9:17 Put ChatGPT in Interview Mode (Live Demo)13:04 The Simplest Tools First: Prompts, Checklists, and Templates15:01 Stepping Up: Zapier, Make.com, and n8n Automations16:10 Managed Agents, Sub-Agents, Scripts, and Custom Apps17:18 Fit The Fix To The Job: Don't Get Blinded by Viral AI19:10 Wrap Up + Where to Get the Prompt — Useful Resources —— Find everything else at https://aiwithkyle.com/
• 192: Google I/O: What You Actually Need to Know 25.05.2026 22min

  Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: Google I/O is over, the dust has settled, and the takes have mostly been garbage. So here's what actually matters from Google's big conference this week. Hint: it's not the video generator. The story everyone missed is Google's move to embed agentic AI directly into Search. That's where 70% of their revenue comes from, and they're knowingly blowing it up. I walk through why that's a genuinely brave decision, what it means for SaaS businesses, how it compares to the OpenAI approach, and why distribution will always beat product quality. Also: Gemini 3.5 Flash benchmarks, Antigravity 2's messy launch, and why I'm not particularly impressed with any of it,  but still think this was one of the more important AI weeks of the year. —— Time Stamps —— 0:00 Intro: Cutting Through the Google I/O Hype1:10 Why Google Conferences Look Flashy But Say Nothing2:13 Distribution Beats Product: The Slack vs Microsoft Teams Lesson3:53 Google's Confusing AI Product Sprawl (Jules, Opal, Antigravity, Spark...)5:53 Gemini 3.5 Flash: Benchmarks and Why People Aren't Impressed9:07 Google's Hidden Edge: Bringing AI Directly to Users10:17 The Real I/O Story Nobody Covered: AI Inside Google Search12:16 Why Google Must Cannibalize Their $82 Billion Ad Empire14:46 How Google Agents Will Demolish Lightweight SaaS Companies17:07 Project Spark: Google's Jarvis-Style AI Assistant18:21 Antigravity 2: The Codex Clone That Flopped20:21 Final Verdict: What Actually Matters from Google I/O — Useful Resources —— Find everything else at https://aiwithkyle.com/
• 191: AI Destroyed Your Career Ladder (Here's What to Do Now) 22.05.2026 15min

  Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: AI isn't taking your job. It's doing something more insidious — it's stopping new ones from being created. Entry-level roles are down 35% since 2023, and the grunt work that used to build careers (research, admin, junior analysis, legal discovery) is gone, absorbed quietly by AI with no fanfare and no replacement. That's the real story behind Eric Schmidt getting booed off a graduation stage, and it's worth sitting with. The old deal — degree, job, ladder, pension — is finished. Wozniak's message that you have "actual intelligence" is a lovely thought, but actual intelligence without opportunity just becomes frustration. So here's what I'd actually recommend: stop waiting for a government fix or a tech exec to have a change of heart, and start carving out something small that you own. A skill, a service, a product. AI makes that more achievable than it has ever been, and right now it might be the only career ladder left worth climbing. —— Time Stamps —— 0:00 Tech CEOs Booed at Graduation Speeches Over AI0:45 Eric Schmidt Booed at University of Arizona Commencement2:27 Steve Wozniak's "Actual Intelligence" Counter Speech3:43 Why Schmidt Is Probably Right About AI & Young People5:09 Gen Z Isn't Anti-AI - They Distrust the Tech Industry Deal6:29 How AI Kills Entry-Level Jobs Without Replacing Workers8:55 Why New AI Roles Won't Save Gen Z From Unemployment10:28 The Career Ladder Is Dead - Start Your Own Income Now13:25 Action Steps to Stay Useful in the AI Economy — Useful Resources —— Find everything else at https://aiwithkyle.com/
• 190: How I'd Build an AI Product and Quit My Job If I Started Today 20.05.2026 23min

  Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join   Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg   Summary: Building an AI product used to mean months of development, a co-founder who could actually code, and probably a few rounds of VC money you'd eventually regret taking. That's not the deal anymore. In this video, I walk you through how to build your first AI product from scratch, including why people will absolutely pay for something they could technically do themselves in ChatGPT, how to find the one process in your industry worth turning into software, and the exact technical stack I use: Vercel for hosting, Supabase for your database, and Codex to do most of the actual building.   The goal here isn't a billion-dollar startup. It's something smaller, more useful, and genuinely achievable this week. I cover the full customer journey, the logic layer (where all the real value lives), and how to think about stripping down an existing SaaS into something specific enough to actually sell. I'm also giving away the prompt I use to get Codex to scaffold the whole thing, available in the newsletter at [aiwithkyle.com](http://aiwithkyle.com/).   —— Time Stamps ——     0:00 Build Your First AI Product This Afternoon 1:11 Why People Pay for AI Tools They Could Build Themselves 4:20 How to Find a Process Worth Productizing 5:35 Real Example: Productizing My Content System 7:24 Steal Ideas From SaaS Companies (Rocket Money & Vexly) 10:52 Start Small: Don't Try to Out-Build DocuSign 12:05 One Painful Input, One Useful Output (Product Examples) 14:02 Customer Journey vs Builder Journey 15:53 Under the Hood: Vercel, Supabase & The Logic Layer 20:36 The Codex Prompt That Builds Your Product For You 22:31 Be the High-Agency Person Who Actually Ships     — Useful Resources ——   Find everything else at https://aiwithkyle.com/
• 189: Codex Mobile: You Can Now Vibe Code From Anywhere (Seriously) 18.05.2026 11min

  Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: Codex just shipped a mobile app, and it's the last piece I needed to properly untether myself from my desk. In this one, I walk you through how to set up an always-on vibe coding workflow across your desktop, laptop, and phone. Meaning, you can start a session at home, walk out to a cafe, and pick it up on your phone without losing a single thread of context. The key is combining the new Codex mobile release with the "Control Another Device" feature. I also get into why I've quietly shifted from Claude Code to Codex as my main tool. The model quality gap has closed, and the usage limits on Claude just aren't worth the stress anymore. If you're still running one session per machine and wondering why it feels fragmented, this is the setup that fixes it. Full technical checklist and written guide are in the Monday newsletter at [aiwithkyle.com](http://aiwithkyle.com/). —— Time Stamps —— 0:00 Codex Now Has A Mobile App: Vibe Coding Just Changed0:43 How Codex In ChatGPT Mobile Actually Works1:18 The Multi-Device Problem Killing Your Coding Flow2:36 My Old Setup Mess & Why OpenClaw Was So Exciting3:59 Mobile Controls Desktop: How Native Codex Untethers You5:30 Hardware Setup: Mac Mini As Your Always-On Vibe Coding Machine6:42 "Control Another Device" Setting + GitHub Central Repository8:17 Adding Your Phone & The Real Studio-To-Pool Workflow9:53 Why I'm Switching From Claude Code To Codex — Useful Resources —— Find everything else at https://aiwithkyle.com/
• 188: The 4 AI Skills Anthropic Wants You to Have (Explained in 20 minutes) 15.05.2026 20min

  Tired of shipping polished AI rubbish? (Free Guide): https://aiwithkyle.com/mini/ai-fluency Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: Anthropic has a free AI Fluency course and, it’s good. I watched the whole thing and pulled out the frameworks that are actually worth your time, so you don't have to sit through the full thing yourself. The big idea is this: prompting is one small part of a much larger skill set. Anthropic breaks it down into four competencies. Interestingly the one people skill entirely is ‘discernment’, that's your human judgment telling you whether the AI actually did a decent job, or whether it's handed you a beautifully formatted hallucination. I walk through all four Ds, the three modes of AI use, and the description-to-discernment loop that, once you have it in your head, changes how you work with AI entirely. The course is free, but hopefully with this video I've saved you about an hour. —— Time Stamps —— 0:00 Welcome & Series Introduction1:12 The Big Takeaway: AI Skill Is More Than Just Prompting2:03 The Three Ways to Use AI: Automation, Augmentation & Agency3:36 The Four Ds Framework Explained4:29 D1: Delegation – What to Hand Off to AI vs Keep Yourself6:53 D2: Description – The RISEN Prompting Framework10:04 D3: Discernment – How to Spot AI Hallucinations13:47 The Description-to-Discernment Loop16:28 D4: Diligence – AI Ethics, Safety & Verification18:15 Final Takeaways & Why I Recommend This Course — Useful Resources —— Find everything else at https://aiwithkyle.com/
• 187: How I Produce 20+ Pieces of Content Daily Using AI (Full System Revealed) 13.05.2026 30min

  How Kyle turns ONE live session into 20 pieces of content (Free Guide): https://aiwithkyle.com/mini/content-machine Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: Every day I produce a YouTube video, a newsletter, five to eight short-form videos, carousels, PDFs, and LinkedIn posts, and there are two of us. In this video I walk through the complete AI-powered content system that makes that possible, from morning topic selection via an AI agent, through voice-note prep and slide generation, to the content processing workflow that turns a single live stream transcript into 20-plus assets automatically. This isn't a pitch for going all-in day one. I also cover the minimum viable version for anyone who's not ready to livestream to five platforms simultaneously, including how to use AI to interview you instead, capture your voice and opinions, and still spin out a newsletter and short-form scripts without getting anywhere near a camera. The key principle throughout: the AI handles the boring infrastructure, you stay in for the parts that actually require a human. —— Time Stamps —— 0:00 Intro: How I Use AI to Become a Content Machine0:50 Why an Audience Is Non-Negotiable for Business2:06 Why Education Content Beats Entertainment4:12 What I Publish Every Single Day6:08 The AI Slop Problem: Don't Automate Everything7:40 The Full Workflow Overview12:19 Step 1: AI-Powered Topic Selection13:42 Step 2: Voice Notes to Slide Decks15:18 Live Streaming (and the AI Interview Alternative)17:44 Step 3: Transcripts to Newsletters & Articles19:14 Carousels, PDFs & 100+ Emails a Day20:56 Short Form Scripts & Where to Use AI23:27 The Self-Improving Feedback Loop24:46 Tools Don't Matter, Workflows Do (My Stack)26:56 How to Start Small Without Burning Out28:40 Why Your Humanity Becomes More Valuable & Outro — Useful Resources —— Find everything else at https://aiwithkyle.com/
• 186: How to Prompt AI Better Than Marc Andreessen (A Billionaire) 08.05.2026 29min

  Tired of ChatGPT and Claude spitting out generic answers that don't sound like you? (Free Guide): https://aiwithkyle.com/mini/system-prompt-builder Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: I came across Marc Andreessen's viral system prompt. The co-founder of Netscape, one of the sharpest minds in Silicon Valley, posted his custom ChatGPT instructions online and got absolutely roasted for it. Telling an AI it has "intellectual firepower on par with the smartest people in the world" doesn't make it smarter. Telling it to never hallucinate doesn't stop hallucinations. And asking for answers "as long and detailed as possible" just produces verbose nonsense that buries any actual value. His system prompt is stuck in 2023. In this video I fix it. We go through exactly what's broken in Andreessen's custom instructions and why, then build a system prompt from scratch using the RISEN(TM) framework — a structured approach to writing AI instructions that actually holds up in 2026. You'll learn why role declarations don't make AI smarter (but are still useful), why adjectives are useless without verbs, how to write custom instructions that change AI behaviour rather than just describe it, and how to define an end goal that stops your AI padding everything out. Whether you're using ChatGPT custom instructions or Claude's system prompt settings, this will change how you prompt. —— Time Stamps —— 0:00 Marc Andreessen's Viral System Prompt Is Getting Mocked Online1:14 Why "World-Class Expert in All Domains" Doesn't Work2:19 "Never Hallucinate" Is Not How AI Actually Works2:58 Tone, Provocative Answers, and Why "Bloviate" Padding Backfires3:54 The Anti-Sycophancy Trick That Actually Works5:39 System Prompts vs Conversational Prompts Explained6:13 How to Add Custom Instructions in ChatGPT and Claude8:03 The Role Declaration Myth (Ethan Mollick Research)10:41 Use Verbs, Not Adjectives, In Your Prompts11:39 Why "Think Step By Step" Is Outdated in 202614:07 You Can't Prompt Your Way Out of AI Hallucinations16:47 Why Asking for Long Detailed Answers Wastes Tokens18:49 The RISEN Prompt Engineering Framework Explained24:46 RISEN in Action: A Better Version of Marc's Prompt26:13 The Coffee Order Analogy: When NOT to Engineer Prompts28:18 Free Quick-Start Guide and Outro — Useful Resources —— Find everything else at https://aiwithkyle.com/
• 185: The $10Bn Move OpenAI & Anthropic Are Making That You Can Copy 07.05.2026 22min

   Turn Your Industry Experience Into An AI-Powered Income Stream (Free Guide): https://aiwithkyle.com/mini/ai-insider Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary:  I'm covering one of the biggest strategic moves I've seen from the AI labs: OpenAI and Anthropic both launched consulting and deployment ventures on the same day, backed by Goldman Sachs, Blackstone, BCG, McKinsey, and a handful of others. This isn't just big money doing big things. It tells you exactly where AI is heading and, more importantly, what that creates for people like you and me. The real focus here is what you can actually do about it. I walk through why your industry knowledge combined with basic AI skills puts you in the same position these companies are paying billions to replicate, just at a scale that actually makes sense for a one or two-person outfit. Workshops, advisory, implementation: the playbook is straightforward, the market is wide open, and most industries haven't had anyone claim that space yet. —— Time Stamps —— 0:00 Intro: AI Labs Push Into Consulting & Advisory0:30 The May 4th Announcements: $10B AI Enterprise Deals1:53 Following the Smart Money: AI Engineers Embedded Inside Companies3:23 The Palantir Playbook: How AI Locks In Forever4:55 The Jagged Frontier: Why AI Got Coding First7:08 From Coding to White Collar: The Harvard Study Proof8:16 When AI Fails: The Government Report Disasters9:13 The Hilarious Irony: Wall Street Is Next11:26 What This Means for Your Job12:46 The Solopreneur Opportunity Gap14:54 4 Ways to Profit From AI: Advisory, Implementation, Education, Content18:26 My Story: Building 300K Audience in Two Years19:07 Where to Start: Why Workshops Are the Best Entry Point21:35 Recap & Newsletter CTA — Useful Resources —— Find everything else at https://aiwithkyle.com/