Insights from recent episode analysis
Audience Interest
Podcast Focus
Publishing Consistency
Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Total monthly reach
Estimated from 11 chart positions in 11 markets.
By chart position
- 🇬🇧GB · Entrepreneurship#5830K to 100K
- 🇨🇦CA · Entrepreneurship#1575K to 30K
- 🇮🇪IE · Entrepreneurship#553K to 10K
- 🇮🇸IS · Entrepreneurship#653K to 10K
- 🇹🇭TH · Entrepreneurship#873K to 10K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
15K to 56K🎙 Daily cadence·100 episodes·Last published yesterday - Monthly Reach
Unique listeners across all episodes (30 days)
50K to 185K🇬🇧54%🇨🇦16%🇮🇪5%+8 more - Active Followers
Loyal subscribers who consistently listen
27K to 102K
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
—
Total Plays
—
Total Reviews
—
* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
Recent episodes
188: The 4 AI Skills Anthropic Wants You to Have (Explained in 20 minutes)
May 15, 2026
20m 34s
187: How I Produce 20+ Pieces of Content Daily Using AI (Full System Revealed)
May 13, 2026
30m 24s
186: How to Prompt AI Better Than Marc Andreessen (A Billionaire)
May 8, 2026
29m 03s
185: The $10Bn Move OpenAI & Anthropic Are Making That You Can Copy
May 7, 2026
22m 55s
184: AI Hallucinations Explained: Why They Happen & How to Stop Them
May 6, 2026
27m 22s
Social Links & Contact
Official channels & resources
Official Website
Login
RSS Feed
Login
| Date | Episode | Description | Length | ||||||
|---|---|---|---|---|---|---|---|---|---|
| 5/15/26 | 188: The 4 AI Skills Anthropic Wants You to Have (Explained in 20 minutes) | 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/ | 20m 34s | ||||||
| 5/13/26 | 187: How I Produce 20+ Pieces of Content Daily Using AI (Full System Revealed) | 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/ | 30m 24s | ||||||
| 5/8/26 | 186: How to Prompt AI Better Than Marc Andreessen (A Billionaire) | 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/ | 29m 03s | ||||||
| 5/7/26 | 185: The $10Bn Move OpenAI & Anthropic Are Making That You Can Copy | 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/ | 22m 55s | ||||||
| 5/6/26 | 184: AI Hallucinations Explained: Why They Happen & How to Stop Them | Stop AI from making things up. Get the free Hallucination Defence Kit (Free Guide): https://aiwithkyle.com/mini/ai-hallucinations 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 hallucinations aren't going away, and the reason might surprise you. In this one, I break down exactly what's happening under the hood when your chatbot confidently lies to you. Whether it’s making up a book, a statistic, or a legal citation, why it happens more with the smarter reasoning models, and why calling it a "bug" fundamentally misunderstands what these systems actually are. More importantly, I give you a set of practical things you can do today to reduce the damage: which settings to turn on, when to use stronger models, how to prompt for accuracy instead of agreement, and a genuinely underrated use of NotebookLM. —— Time Stamps —— 0:00 Intro: What Are AI Hallucinations?0:32 When AI Hallucinations Go Public: Chicago Sun-Times & Deloitte2:28 The Scary Stats: 92% Don't Fact-Check AI4:05 The Two Types of Hallucinations You Need to Know5:56 Why ChatGPT Isn't a Database (How LLMs Actually Work)8:01 Andrej Karpathy: Hallucination Isn't a Bug, It's the Feature12:18 Will AI Hallucinations Ever Be Fixed?14:39 When Hallucinations Are Most Likely to Happen18:17 Practical Fixes: Web Search, Paid Plans & Stronger Models21:22 The NotebookLM Trick: Build Your Own Verified AI22:17 Better Prompting: How to Stop AI From Lying to You24:28 The New AI Paradigm (and Final Thoughts) — Useful Resources —— Find everything else at https://aiwithkyle.com/ | 27m 22s | ||||||
| 5/5/26 | 183: How to Write With AI and Never Get Caught | Does your writing smell like AI? Grab the fix kit (Free Guide): https://aiwithkyle.com/mini/goblins 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: OpenAI banned the word ‘Goblin’ from their models, and the reason why is a reinforcement learning feedback loop that turbo-charged a "nerdy personality" setting into goblin obsession. This is an interesting insight into how AI writing ticks develop in the first place. Practically, what does this mean for you? I walk you through Wikipedia's living list of AI writing giveaways (yes, they built a 15,000-word guide to protect themselves from AI slop, and yes, I show you how we’ll be using it against them), how to compress it into system instructions and a skill file, and why running your output through both a pre-write and post-write filter is the closest thing to a reliable humaniser you're going to get. I also discuss AI detectors, spoiler: they're worse than useless, and the academic institutions using them to penalise students are in for a rough few years. —— Time Stamps —— 0:00 Intro: OpenAI Banned Goblins From ChatGPT1:42 Why Goblins? The Reinforcement Learning Loop4:33 What Are AI Tells?5:39 Wall of Shame: AI's Most Overused Words7:46 Wikipedia's Signs of AI Writing Guide9:42 How to Stop AI From Sounding Like AI (Belt & Braces System)13:02 Why AI Detectors Don't Work (And Never Will)15:59 AI Tells Are a Moving Target19:18 The Disclosure Paradox: Does Anyone Actually Care?22:00 Free Resources & Wrap-Up — Useful Resources —— Find everything else at https://aiwithkyle.com/ | 23m 02s | ||||||
| 4/30/26 | 182: GitHub for Beginners: Set Up, Connect AI Tools & Never Lose Work Again | New to GitHub? Skip the confusion (Free Guide): https://aiwithkyle.com/mini/github 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: GitHub keeps coming up everywhere if you're building with AI, and nobody ever properly explains what it actually is. So here it is: a complete beginner's guide to GitHub, what it does, why it matters, and how to get it set up and connected to your AI tools of choice, whether that's Claude Code, Codex, Lovable, or Cursor. Think of it as Google Drive for your projects. One central folder that everything syncs to, across every tool and every device. I walk you through creating your first repo, the key terminology you'll actually encounter (commit, push, pull, branch), and how to connect it all up without touching the terminal once. I also show you how I use GitHub beyond code, as the backbone of my content system and second brain. One repo, set up properly, changes how you work with AI permanently. —— Time Stamps —— 0:00 What Is GitHub & Why Vibe Coders Need It2:05 The Version Control Nightmare Without GitHub4:05 Create Your First GitHub Repo (Step by Step)6:12 GitHub Terms Explained: Repo, Commit, Push, Pull8:42 Cloning, Branching & Merging Made Simple11:01 Connect GitHub to Lovable, Cursor, Claude Code & Codex13:12 GitHub Beyond Code: The Obsidian Second Brain Workflow15:39 Install GitHub Desktop (No Terminal Required)18:01 Best Practices: Folder Structure & When to Commit19:57 Your Action Plan: Set Up GitHub Today21:33 Wrap Up & Newsletter Resources — Useful Resources —— Find everything else at https://aiwithkyle.com/ | 22m 43s | ||||||
| 4/29/26 | 181: Local LLM Beginner Guide: You Can Actually Run AI For Free (No More $20/Month AI Subscription) | Want to run AI privately on your own laptop? (Free Guide): https://aiwithkyle.com/mini/local-llmGet 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: Running a large language model on your own computer sounds like the kind of thing that requires a computer science degree and a spare weekend. It doesn't. In this video I walk you through exactly how to get a local AI model running on your machine today, from downloading LM Studio to picking the right model for your hardware. We cover how to figure out what your device can actually run (RAM is the main thing), what quantization means and why it's not as scary as it sounds, and why Gemma 4 is the sensible starting point for almost everyone. There are real limitations to local models and I'm not going to pretend otherwise. But for general chat, for working offline, for keeping your data off someone else's servers, they're genuinely good and getting better fast. By the end of this you'll have a working local LLM and a decent handle on where this whole space is heading. —— Time Stamps —— 0:00 Intro: How to Run AI on Your Device2:11 What Is a Local Large Language Model?3:53 4 Reasons to Run AI Locally (Privacy, Cost, Offline, Learning)6:35 LM Studio vs Ollama: Best Tool to Start8:49 Finding Local AI Models on Hugging Face10:25 Best First Model for Beginners: Gemma 411:35 How Much RAM Do You Need? The Parameter Rule15:36 Quantization Explained: Compressing AI Models17:08 Picking Your Model Inside LM Studio19:08 Edge AI: Run AI on Your iPhone or Android21:06 Hobbyist vs Production: When Local AI Makes Sense22:45 Outro & Free Resources — Useful Resources —— Find everything else at https://aiwithkyle.com/ | 23m 24s | ||||||
| 4/28/26 | 180: Your Company Will Replace You With a $100/Month Bot. Plan Accordingly | 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 ground has shifted. The nine-to-five used to be the low-risk option, the sensible, boring, reliable choice for anyone who didn't fancy betting everything on a business idea. That deal is off the table. AI is attacking your job at three levels simultaneously: the tasks inside your role, the company that employs you, and the industry you work in. Any one of those can collapse without warning, and most people are sitting there hoping it won't. I'd rather you got a bit annoyed at me now than blindsided later. The good news, and there is good news, is that entrepreneurship has never been more accessible or less intimidating than it is right now. I'm not talking about raising venture capital or moving to San Francisco. I'm talking about making your first quid from a stranger on the internet, building a small side income, and slowly rewiring your brain to understand that you can generate your own money. AI makes the operational parts of running a small business genuinely manageable for one or two people. The risk-reward on doing your own thing has never looked more reasonable by comparison. —— Time Stamps —— 0:00 Why Your Job Isn't Safe From AI Anymore0:26 When the 9-to-5 Was Actually the Safe Bet1:32 The Three Levels of AI Risk: Job, Company, Industry5:19 Take Responsibility — The Brutal Data on AI Layoffs9:09 The Risk-Reward of Work Has Completely Flipped13:13 How Gen Z Are Building Their Own Way Out17:14 Objection 1: "But Not Everyone Wants a Business"19:56 Where to Start: Freelancing With AI as Your Team22:15 Objection 2: "But My Job Is Creative"25:02 Objection 3: "Just Go Into the Trades"27:19 Why Businesses Can Be Beautifully Simple31:13 The Bottom Line: Start Generating Your Own Income — Useful Resources —— Find everything else at https://aiwithkyle.com/ | 33m 11s | ||||||
| 4/27/26 | 179: GPT-5.5 Is Out: Harnesses Explained, Codex, and Why the Model No Longer Matters | ChatGPT Images 2.0 Business Guide (Free): https://aiwithkyle.com/mini/chatgpt-image-2 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: GPT-5.5 dropped yesterday, which means I spent this morning doing what I always do on a Friday: working out what it actually means beyond the benchmark chest-beating. The short version is that the model itself matters less than you think. What OpenAI has done with 5.5 is build something that works exceptionally well inside a harness, and if you don't know what a harness is yet, that's exactly what this video covers. The concept is simple once you see it, and it changes how you think about every AI release from here on. We also get into Codex, why it's the most accessible entry point for anyone not spending serious money on Claude Code, and the quiet but very deliberate war OpenAI is picking with Anthropic over who actually gets to use these tools. There's also the small matter of Claude Code spending the entire month of March running at reduced intelligence, which Anthropic has now admitted was intentional. A lot happened this week. —— Time Stamps —— 0:00 Intro: GPT 5.5 Just Dropped0:34 Why Non-Coders Should Care About Coding Models2:23 GPT 5.5: Intelligence For Real Work4:32 3 Ways to Access GPT 5.5 (ChatGPT, Codex & API)7:54 How I Run Agents Overnight (64-Page PDF Example)9:32 Why You Should Start With Codex (It's Free)10:43 How AI Agents Actually Work13:50 Why You Should Ignore Every AI Benchmark15:28 Testing GPT 5.5 Live: Building a Slide Deck17:54 Sam Altman's Tweet: An Attack on Anthropic?23:14 The Harness Matters More Than the Model26:52 Claude Code Got Dumber in March (Confirmed)29:13 OpenAI's Push Into OpenClaw32:08 Choosing Your Harness: A Practical Guide34:24 Outro & Newsletter — Useful Resources —— Find everything else at https://aiwithkyle.com/ | 35m 05s | ||||||
Want analysis for the episodes below?Free for Pro Submit a request, we'll have your selected episodes analyzed within an hour. Free, at no cost to you, for Pro users. | |||||||||
| 4/24/26 | 178: ChatGPT Images 2.0 vs Google's Nano Banana: 5 Tests, One Clear Winner — 65 chars | (Free Guide) Stop Letting Claude Limits Own Your Workflow: https://aiwithkyle.com/mini/claude-opus-4-7 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 been testing ChatGPT Images 2.0 against Google's Nano Banana (Gemini's image model) across five real business use cases: YouTube thumbnails, Facebook ads, explainer comic strips, event posters, and LinkedIn carousels. This isn't art generation or anything photorealistic. It's about what actually saves time and produces usable assets when you're running a business and need things to look good without hiring a designer every five minutes. The short version: ChatGPT won all five tests, which I genuinely wasn't expecting. What set it apart wasn't just image quality — it was consistency across sequential prompts, the ability to generate a functional QR code and embed it into a poster, and LinkedIn carousel slides that actually tell a story rather than vague abstract imagery. Imagen is still cheaper and faster via the API, so I'm not writing it off. But if you've been sleeping on ChatGPT's image generator, this is the video that'll change that. —— Time Stamps —— 0:00 Introduction — ChatGPT Images 2.0 vs Nano Banana 2 Pro3:23 Where to Find the New ChatGPT Image Generator4:17 Test 1 — YouTube Thumbnail Design Showdown08:41 Test 2 — Facebook Ad Creative at Scale14:59 Test 3 — Four-Panel Explainer Comic & Marvel Style21:16 Test 4 — Event Poster With a Working QR Code26:36 Test 5 — Turning a Newsletter Into a LinkedIn Carousel31:51 Final Verdict — 5/5 for ChatGPT Images 2.0 — Useful Resources —— Find everything else at https://aiwithkyle.com/ | 36m 20s | ||||||
| 4/23/26 | 177: Your AI Subscription Is About to Get a Lot More Expensive (And What To Do About It) | (Free Guide) Stop Letting Claude Limits Own Your Workflow: https://aiwithkyle.com/mini/claude-opus-4-7 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: Yesterday Anthropic quietly ran an AB test that removed Claude Code from the $20 Pro plan, apparently hoping nobody would notice. They noticed. What started as a pricing page edit turned into a useful window into where AI costs are actually heading, so I put together a presentation on what's going on: why inference is now the bottleneck, how Jevons Paradox means cheaper tokens still lead to higher bills, and why the all-you-can-eat subscription model is living on borrowed time. The practical bit covers what you can actually do about it right now: Codex as a serious alternative (genuinely good, and embarrassingly generous with limits), local models via LM Studio if you're happy spending on hardware, and a set of prompting habits that will meaningfully reduce your token consumption without slowing your output. If you're building anything with agentic tools, this is the context you need before prices stop being theoretical. —— Time Stamps —— 0:00 Intro: The AI Pricing Era Is Here0:43 Anthropic Pulls Claude Code from Pro Plan2:39 Codex Team Trolls Anthropic4:14 What This Means for $20 Pro Users5:41 The Broken Promise of Cheap AI7:15 How Agents Changed the Economics9:35 Inference: The New Bottleneck11:45 China's Electricity Advantage12:25 Solution 1: Switch to Codex14:05 Solution 2: Run Local Models15:25 Token Efficiency Tips16:32 The Future: AI Employees, Not Subscriptions18:53 Outro & Newsletter — Useful Resources —— Find everything else at https://aiwithkyle.com/ | 19m 24s | ||||||
| 4/21/26 | 176: Claude Design Review: AI Websites, Figma Killer?? & Brutal Usage Limits | (Free Guide) Protect Yourself from Opus 4.7’s Brutal Token Limits: https://aiwithkyle.com/mini/claude-opus-4-7 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 Design just dropped, and yes, people are already calling it the Figma killer. In this video I walk you through what the tool actually does, how to use it to design websites and app mockups from scratch or from an existing project, and why the "Figma is dead" crowd almost certainly don't use Figma. I cover the full workflow: connecting a GitHub repo, working with the built-in design system, adding inline comments, and iterating on designs the same way you would with a human designer. The honest bit: there are serious limitations. The usage limits are so aggressive I burned through my weekly allowance on one prompt while on the $200 plan, and every single output defaults to the same Anthropic oyster-cream colour palette that is going to become the new purple-gradient AI tell. I show you exactly how to fight that, including a skill pack that gives Claude Design nine alternative style directions so your work doesn't look like it was built by the same tool as everyone else's. If you're an entrepreneur who wants to get something decent out the door fast, this is worth your time. If you're a working designer, come back in a few weeks. —— Time Stamps —— 0:00 Intro: Claude Design and the Figma Killer Hype0:45 How to Access Claude Design and Its Brutal Usage Limits1:45 Shadow Drop, Figma Stock Crash, and What This Tool Really Is3:45 Building a Duolingo-Style App Mockup from Scratch6:47 Canvas, Comments, and Team Collaboration Features7:57 Redesigning Your Website with GitHub Integration10:58 How to Work With Claude Design: Chat, Comments, and Teams12:05 The Cream Problem: Why Claude Design Outputs Look Identical13:58 Beating AI Slop with Skill Packs and Exemplar References16:03 Team Feedback Workflows and Export Options17:44 Will Claude Design Kill Figma? The Honest Verdict19:54 Final Thoughts: Usage Limits and Who Should Actually Use It —— More Useful Resources —— Find everything else at https://aiwithkyle.com/ | 21m 06s | ||||||
| 4/20/26 | 175: Claude Opus 4.7 Breakdown: Community Backlash, Rate Limits, Overcoming Token Waste | Free step-by-step guide to avoiding token waste with Opus 4.7: https://aiwithkyle.com/mini/claude-opus-4-7 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 Opus 4.7 dropped yesterday and I've been poking around with it all morning. On paper, it looks great. Anthropic's benchmarks even include their own unreleased Mythos model, which is a first, and Opus 4.7 holds up well against everything else out there. But the community is not having it. Reddit, Hacker News, the usual corners of the internet are all saying the same thing: this is basically the original 4.6 in a new coat of paint, conveniently arriving after weeks of 4.6 getting suspiciously dumber and hitting limits faster. The new tokenizer uses up to 35% more input tokens for the same content, which means "same price per token" is a bit of a magic trick when everything costs more tokens. They've also replaced extended thinking with adaptive reasoning, which auto-routes your queries to different effort levels. Sound familiar? It's exactly what OpenAI did with GPT-5, and everyone hated that too. The bigger picture here is one most people don't want to hear. Anthropic doesn't really want individual users. Their revenue is surging because of enterprise and API sales, not people on the $20 a month plan. They're reportedly hitting a $30 billion run rate, possibly overtaking OpenAI, and nearly all of that comes from businesses paying thousands a day in API costs. So when we complain about limits and sneaky cost increases, it's worth remembering we're not the customer they're building for. Intelligence is getting more expensive, not cheaper, at least for now. The days of unlimited access to frontier models for a flat monthly fee are properly behind us. —— Time Stamps —— 0:00 Claude Opus 4.7 Launch: Community Reaction & Early Verdict05:36 Adaptive Reasoning Removed: A Step Backward for Power Users08:31 The Hidden Price Hike: New Tokenizer Costs Explained11:21 MRCR Benchmark Drop: What Anthropic Didn't Tell You13:52 Usage Limits & Safeguards: Getting Worse, Not Better16:16 Anthropic's Real Priority: Enterprise Over Individual Users18:40 The Brutal Truth: AI Is Getting More Expensive21:13 How to Survive the Token Crunch: Practical Usage Tips —— More Useful Resources —— Find everything else at https://aiwithkyle.com/ | 27m 02s | ||||||
| 4/17/26 | 174: Complete Beginner’s Guide to Anthropic’s Claude Code App | Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Kyle’s AI Canon — Curated list of AI learning essentials: https://aiwithkyle.com/ai-canon Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: Anthropic dropped a new Claude desktop app yesterday, and the headline feature for me is the preview pane now baked into Claude Code. That's the bit that used to scare people off. You'd hear about Claude Code, try the terminal install guide, see a wall of curl commands, and quietly back out of the room. Now it works more like Lovable or Bolt, where you chat on one side and watch your project come to life on the other. So I thought I'd do a proper beginner's walkthrough for anyone who's been hovering near Claude Code without actually pressing the button. I take you from zero: downloading the app, starting a new local session, creating a folder, talking to Claude about what you want to build, all the way through to the preview pane and the new element selector that lets you point at a bit of the page and say "this looks terrible, fix it." —— Time Stamps —— 0:00 Claude Code for Beginners: New Desktop App Makes It Easy1:27 Inside the Claude Desktop App: Chat, Cowork & Code Explained2:35 Setting Up Your First Claude Code Project from Scratch4:33 Talking to Claude Code: Voice Input & Describing Your Build6:34 Claude Code's New Preview Pane: See Your App in Real Time7:35 Iterating with Claude Code: Giving Feedback & Fixing Errors9:48 Full Step-by-Step Recap: How to Use Claude Code Today11:31 Closing Thoughts & Where to Find the Community —— More Useful Resources —— Find everything else at https://aiwithkyle.com/ | 12m 14s | ||||||
| 4/15/26 | 173: How to Build a TEAM of AI Agent Using Anthropic’s New Tool (Anyone Can Do This) | Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Kyle’s AI Canon — Curated list of AI learning essentials: https://aiwithkyle.com/ai-canon Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: Orchestration is the new buzzword in AI, and for once it's actually worth paying attention to. In this episode I walk through what it means to go from simply chatting with AI to building entire teams of agents that work for you in parallel, check each other's work, and keep running while you sleep. Anthropic quietly released a managed agents platform with a graphical interface that makes this dramatically more accessible than it used to be. No terminal commands, no SDK setup, just a chat window where you describe what you want and it builds the agent for you. I give you a full walkthrough of how to set it up, configure environments, and start thinking in systems rather than individual prompts. I also dig into the bigger picture of what this means for entrepreneurs and businesses. Anthropic leaked what looks like a Lovable competitor, which signals that the big AI companies are now willing and able to replicate indie SaaS products in a weekend. That squeeze on mid-market founders is real and it's coming fast. On the flip side, if you're the person who learns to orchestrate these agent teams, you go from being one individual to effectively running a small company. The skill that matters now isn't prompt engineering, it's management. Turns out all those years of leading teams and thinking about systems might be the most valuable thing you bring to AI. —— Time Stamps —— 0:00 What Is AI Orchestration and Why It Matters3:33 The Restaurant Analogy: Users vs Builders5:22 Cowork vs OpenClaw vs Managed Agents Compared7:28 Getting Started with Claude Managed Agents9:02 Always-On Persistent AI: The 2026 Shift10:37 Why Parallel Processing Beats Sequential Agents11:15 The New No-Code Quickstart Interface12:32 Live Demo — Building an AI News Scraper Agent16:06 Configuring Environments and Running Sessions18:36 Iterating and Improving Your Agent20:10 Anatomy of a Managed Agent: Model, Sandbox and Tools21:55 Multi-Agent Systems: Managers and Sub-Agents23:33 How to Develop Systems Thinking Skills26:35 Business Use Cases: Products, Operations and Consulting29:54 Summary and Next Steps —— More Useful Resources —— Find everything else at https://aiwithkyle.com/ | 31m 42s | ||||||
| 4/14/26 | 172: Claude Mythos Cracks All Security, Project Glasswing, and the New AI Underclass | Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Kyle’s AI Canon — Curated list of AI learning essentials: https://aiwithkyle.com/ai-canon Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: Claude Mythos is Anthropic's new model and they're refusing to release it publicly, which is the first time a major lab has held back a model since GPT-2. The headline is that Mythos can find and exploit zero-day vulnerabilities in every major operating system and browser. A sandboxed version that wasn't supposed to have internet access somehow found its way out and emailed a researcher while he was eating a sandwich in a park. Security researchers are saying they've found more bugs in a few weeks with Mythos than in their entire careers. Is some of this marketing ahead of Anthropic's IPO? Probably. But the exploits are being independently verified by the companies whose systems got cracked open, so there's clearly something real at the core of this. Instead of releasing Mythos publicly, Anthropic have launched Project Glasswing, a consortium giving early access to companies like Microsoft, Apple, Google, AWS and others so they can patch their systems before this kind of capability hits the wild. Think of it as handing a skeleton key to every locksmith in the world before announcing that the old locks are broken. Whether or not this qualifies as AGI is, frankly, a bit of a distraction. What matters is what it can functionally do, and right now it can make a mockery of security systems that have been trusted for decades. Even if Mythos itself never goes public, the capability will be replicated and distilled within months. The world just got a stay of execution, not a pardon. —— Time Stamps —— 0:00 Intro0:42 What is Claude Mythos? The Sandbox Escape Story1:32 Separating Mythos Hype from Reality2:06 Why Anthropic Won't Release Mythos Publicly2:57 Why Mainstream Media is Ignoring Mythos4:07 First AI Model Held Back Since GPT-24:45 Forget AGI — Focus on What Mythos Can Actually Do5:37 Mythos Found Zero-Day Exploits in Every Major System7:24 Anthropic's 245-Page System Card: Why This is Different8:16 120 Features in 90 Days: Is Mythos Powering Anthropic Internally?10:09 Is Mythos AGI? The Goalpost Problem11:58 Project Glasswing: Which Companies Get Early Access?13:46 The Skeleton Key Metaphor for AI Cybersecurity15:31 Dario Amodei on the AI Cyber Threat16:20 IPO Hype or Real Danger? Anthropic Hits $30B Revenue19:06 The AI Permanent Underclass Problem20:21 What Engineers and Businesses Must Do Right Now22:13 Your Wake-Up Call: Why You Need to Be AI Ready23:57 Q&A: Can Mythos Secure Systems and Who Should Control It?26:19 Claude Code Source Leak and Why Clean Code is Overrated29:48 Which Careers Are Most at Risk from AI?31:09 Every Job is a Bundle of Tasks AI Will Shrink33:23 AI Won't Take Your Job — It Will Stop New Ones Being Created35:58 Why Starting a Business is Your Best Move Right Now38:42 Why Coaches and Community Leaders Will Thrive in the AI Era40:21 How to Position Your Business Online in the AI Era42:21 How to Start an AI Consulting Business44:40 Will Vibe Coding Kill Software Companies?46:09 Closing Thoughts —— More Useful Resources —— Find everything else at https://aiwithkyle.com/ | 46m 30s | ||||||
| 4/1/26 | 171: How I Get 200+ Email Subscribers a Day Using AI, ManyChat & Spark Loop | Lead generation guide (free): https://aiwithkyle.com/mini/automated-blueprint Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Kyle’s AI Canon — Curated list of AI learning essentials: https://aiwithkyle.com/ai-canon Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: In today's session I walked through the entire system I use to drive a couple of hundred email subscribers into my list every single day. It's the engine behind everything I've built over the last two years, taking the business from absolute zero to mid six figures. The core idea is simple: social media is rented land, your email list is an owned asset. I break down how I pick trending topics, shoot short conversion videos, and use ManyChat alongside Claude Cowork to automate the whole thing across Instagram, TikTok, YouTube Shorts and LinkedIn. I also showed how I use AI to generate lead magnets and landing pages daily without them feeling like generic rubbish, and how Spark Loop lets you earn money the moment someone subscribes. It's not fully automatic and it shouldn't be. The human bit matters. But once the plumbing is in place, you can repeat the process every single day and watch the numbers compound. Quite satisfying, honestly. —— Time Stamps —— 0:00 How I Get Hundreds of Email Subscribers Every Day1:27 Why Email Lists Are More Valuable Than Social Media2:41 How AI Powers This Entire System4:36 The 5-Step Blueprint for Email List Growth5:57 Creating Short Videos That Convert Followers to Subscribers7:15 Choosing Your Topic and the Perfect Video Format9:24 Automating DM Replies with ManyChat and Claude Cowork10:05 ManyChat Results: What Worked and What Flopped10:58 Building AI Landing Pages and Lead Magnets with Claude Code13:57 Monetize Every Signup Instantly with SparkLoop16:32 The Complete Daily Lead Magnet Workflow17:28 Why Lead Magnet Quality Makes or Breaks First Impressions19:21 Live Q&A: Start Small and Build Your Lead Magnet Machine20:44 How to Define Your Target Audience for AI Content22:06 Can You Have Too Many Lead Magnets?24:28 Content Waterfall: One Live Stream Into Multiple Formats26:48 Wrap-Up and Where to Get the Free Guide —— More Useful Resources —— Find everything else at https://aiwithkyle.com/ | 27m 47s | ||||||
| 3/31/26 | 170: NotebookLM Masterclass: Create Presentations, Hallucination Free Content Creation and it’s FREE | Free NotebookLM Content Engine guide: https://aiwithkyle.com/mini/notebooklm-content-engine Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Kyle’s AI Canon — Curated list of AI learning essentials: https://aiwithkyle.com/ai-canon Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: Most people have heard of NotebookLM by now, but almost nobody is using it properly. In this one I break down exactly how I use Google's free RAG tool to power my entire content operation. I walk through the interface, explain what RAG actually is (without making it sound like a computer science lecture), and show how NotebookLM pulls from your sources rather than hallucinating answers from the void. If you work in law, academia, or anywhere that needs accurate information, this alone makes it worth your time. But the real trick is what happens after you create content. I show how I feed my existing YouTube videos back into NotebookLM to generate lead magnets, infographics, slide decks, and even cinematic explainer videos, all from a single source. That process brings hundreds of new subscribers into my newsletter every day. I also touch on connecting NotebookLM to Claude Code via the unofficial Python API, which lets you automate the whole thing at scale. It is genuinely one of the most underrated tools in AI right now, and it costs nothing. —— Time Stamps —— 0:00 The Free AI Tool You're Sleeping On0:50 What is RAG? (Retrieval Augmented Generation Explained)3:44 NotebookLM Interface Walkthrough5:37 Demo: Importing a YouTube Video into NotebookLM6:27 Chat With Any Video or Document Using AI8:48 NotebookLM Output Types (Slides, Videos, Podcasts & More)10:29 AI Cinematic Video Generation Demo12:09 AI Podcast Feature You Can Join Live14:38 How I Create Daily Content Using NotebookLM16:55 How to Create Lead Magnets with NotebookLM20:14 Automate NotebookLM with Python API & Claude Code21:52 Live Q&A: Customization Tips & Best Practices25:43 Is NotebookLM Content "AI Slop"?27:13 NotebookLM vs Claude Cowork Explained28:40 How to Still Access GPT 5.1 After Removal29:53 Wrap Up & Free Resources —— More Useful Resources —— Find everything else at https://aiwithkyle.com/ | 30m 31s | ||||||
| 3/27/26 | 169: Replace your SEO agency with AI (Full Guide) | Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Kyle’s AI Canon — Curated list of AI learning essentials: https://aiwithkyle.com/ai-canon Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: I used to run an SEO agency. Charged businesses a couple of thousand quid a month, locked them into six-month contracts, and handed over PDFs that looked impressive but were, honestly, a bit of a black box. That entire model is now dead, and I say that with zero nostalgia. Today I walked through a free Claude Code skill called Claude SEO that runs a full technical audit, content analysis, keyword gap strategy, and AI search optimisation on your entire website. The same work that would cost tens of thousands a year from an agency took about 50 minutes on my site and cost me nothing beyond a Claude Pro subscription. The real magic is what happens after the audit. You feed the findings back into Claude Code, have it build a prioritised implementation plan, and then schedule it to chip away at fixes overnight. Title tags, header hierarchy, schema markup, meta descriptions, the lot. It just quietly gets on with it while you sleep and presents a little report in the morning. I also covered why SEO still matters in the age of AI, how Google indexing directly affects whether you show up in ChatGPT, Gemini, and Claude, and why blocking AI crawlers from your site is probably a mistake. The whole guide is linked below if you want to set this up yourself. —— Time Stamps —— 0:00 What is SEO and Why It Matters0:49 Why AI is Killing the SEO Agency Model3:37 Is SEO Still Important in the Age of AI6:12 Using AI Instead of an SEO Agency8:20 Claude SEO Skill: $20 vs $10K Agency Costs8:55 Free Claude SEO Skill Walkthrough9:58 How to Install the Claude SEO Skill10:57 Running Your First AI SEO Audit12:29 Content Analysis, EEAT and AI Crawler Access13:45 Feeding Your Audit Back Into Claude Code15:43 Connecting MCP to Analytics Tools17:11 Recommended AI SEO Workflow19:53 Q&A: Syncing Claude with Claude Code21:11 Community Showcase: WTF is this Tech23:24 How to Build and Host a Website with Claude26:32 Does Every Business Actually Need SEO29:16 Using Multiple LLMs for Better Results30:25 Community Showcase: Sequestered AI32:02 Best AI Creators to Follow Right Now —— More Useful Resources —— Find everything else at https://aiwithkyle.com/ | 36m 55s | ||||||
| 3/26/26 | 168: AI Latest: OpenAI Shuts Down Sora, Disney Drops $1B Deal, Claude Does Your Job For You | Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Kyle’s AI Canon — Curated list of AI learning essentials: https://aiwithkyle.com/ai-canon Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: Big day for OpenAI news, and not the good kind. Sora is officially dead, pulled before it even launched in most of the world, and that billion dollar Disney deal has collapsed with it. The internal message at OpenAI is clear: stop the side quests, start making money. They're pivoting hard toward API revenue and enterprise clients, essentially copying Anthropic's playbook after watching them generate comparable revenue with a fraction of the users. Shopping features are getting reworked, flashy consumer toys are being shelved, and researchers are being told to put down the fun projects and focus on profitability. It's a sensible business move, but it does make OpenAI a little less interesting. Meanwhile, Anthropic have been on an absolute tear. Since January alone they've shipped Cowork, Opus 4.6, Excel and PowerPoint integration, a million token context window, Claude Code channels, and just yesterday, full computer use. That last one is particularly spicy because it means Claude can now click around your screen, open programs, and do tasks as if it were sitting at your desk. Someone in my chat pointed out the obvious implication: if you work from home, you could technically outsource your own job to Claude before your employer does it for you. Cheeky, ethically questionable, and probably inevitable. —— Time Stamps —— 0:00 Welcome & Show Introduction0:21 OpenAI Kills Sora: Video Generation App Shut Down1:14 Why OpenAI Is Cutting Features Before Its IPO2:01 ChatGPT vs Claude: Why I Switched to Claude3:08 OpenAI vs Anthropic: Consumer vs API Revenue5:23 OpenAI's Pivot to API and Enterprise Revenue6:42 Disney's $1 Billion OpenAI Deal Collapses With Sora10:49 Disney AI Strategy: IP Licensing and Legal Battles18:02 Is the Claude Ambassador Program Worth It?20:48 Why Sora Failed After Its Viral Launch22:54 ChatGPT Shopping: Why Instant Checkout Flopped30:51 OpenAI's Pre-IPO Slash and Burn Strategy32:18 Every Anthropic Claude Launch in 202635:53 OpenClaw vs Claude Cowork: Which AI Agent to Use?41:23 Why Anthropic's API Business Model Wins43:50 Claude API Errors and Server Capacity Issues44:46 How I Use Codex and Claude Code Together46:10 Edge AI Explained: Running Models on Local Devices49:13 China's Open Source AI Soft Power Strategy51:11 Is Cursor Getting Crushed? Future of AI Code Editors54:48 How to Start Vibe Coding for Free56:19 AI Models Are Converging: Why Harnesses Matter More59:57 Lovable vs Claude Code: Trade-offs for Beginners1:02:03 How to Set Up Claude Computer Use (Tutorial)1:02:56 How to Move Projects from Cursor to Claude Code1:05:49 Can You Outsource Your 9-to-5 Job to AI?1:07:46 Claude Usage Limits: Codex vs Claude Code Pricing1:08:59 How Claude Computer Use Works: 3 Methods Explained1:11:33 Outro & Sign Off —— More Useful Resources —— Find everything else at https://aiwithkyle.com/ | 1h 11m 29s | ||||||
| 3/25/26 | 167: Claude Can Now Control Your Entire Computer (FULL Explainer) | Get the free Vibe Coding guide here: https://aiwithkyle.com/mini/5-builds Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Kyle’s AI Canon — Curated list of AI learning essentials: https://aiwithkyle.com/ai-canon Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: Anthropic just dropped Claude Computer Use and it's a proper shift. As of last night, Claude can now take full control of your Mac, not just Chrome, not just a sandboxed virtual machine, but your actual computer. It opens apps, navigates your file system, clicks around desktop software, the lot. If you've been following Open Claw, this is essentially that functionality baked directly into the Claude ecosystem, minus the terminal setup, minus the security headaches, minus the afternoon you'd lose tinkering instead of working. You toggle it on in the desktop app and you're away. I've been playing with it all morning and it's genuinely impressive how seamless it feels. What's really striking though is the pace Anthropic are shipping at right now. Two or three features a week since January. Cowork, Opus 4.6, dispatch, channels, remote control, scheduled tasks, computer use, it's relentless. Meanwhile Open Claw's creator has been hired by OpenAI and we've seen precisely nothing from that side. Perplexity Computer costs $200 a month and just got made redundant overnight. The big picture here is simple: we're moving from chatting with AI to AI actually doing things for us, and Anthropic are leading that charge by a comfortable margin. If you haven't explored what agents can do yet, now's probably the time. —— Time Stamps —— 0:00 Claude Computer Use Just Dropped — Here's What It Does1:11 The Shift From Chatting to AI Doing Things For Us3:18 How OpenClaw Proved the Demand for AI Assistants6:26 Everything Anthropic Shipped in 3 Months9:45 What Is Claude Computer Use and How to Turn It On12:08 How Claude Decides: Connectors vs Browser vs Screen Control16:03 Safety: Claude Computer Use vs OpenClaw Compared20:27 How to Download and Set Up Claude Computer Use22:41 Control Your Computer Remotely With Dispatch and Channels25:04 Alternatives Compared: OpenClaw vs Perplexity vs Manus27:36 The Big Takeaway: We Can Just Build Anything Now30:41 Live Q&A —— More Useful Resources —— Find everything else at https://aiwithkyle.com/ | 33m 24s | ||||||
| 3/24/26 | 166: So you’ve Vibe Coded something brilliant — Now what? | Get the free Vibe Coding guide here: https://aiwithkyle.com/mini/5-builds Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Kyle’s AI Canon — Curated list of AI learning essentials: https://aiwithkyle.com/ai-canon Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: So you've vibe coded something. Brilliant. Now what? That's the bit nobody talks about. Everyone's showing you how to build the thing, but the moment you want actual humans to use it, pay for it, and not have their passwords stored in a spreadsheet, you need a proper stack. Today I walked through every tool I use to go from a half-baked idea to a live, deployed, money-making web app. GitHub, Supabase, Vercel, Stripe, Resend, Beehive, PostHog. The full lot. I explained what each one does, why you need it, and crucially, the order you should set them up in. The best part is nearly all of it is free to start. You only begin paying once thousands of people are actually using what you've built, which is a very good problem to have. I'm running a six-figure business and my entire tech stack costs me about a hundred dollars a month. That's an absurd margin. Whether you're using Lovable, Google AI Studio Build Mode, or Claude Code, this is the roadmap for turning your proof of concept into something real. I also shared a prompt that will generate a full deployment plan for your specific project, so you're not fumbling through DNS records alone at midnight. —— Time Stamps —— 0:00 The Vibe Coder's Toolkit Overview1:44 Best Vibe Coding Tools to Build Your App5:50 What Happens After You've Built Something7:07 GitHub — Cloud Storage and Version Control9:40 Supabase — Your Database and User Authentication12:45 Deploying Your Web App With Vercel15:37 Buying and Connecting a Custom Domain Name18:10 Getting Paid — Stripe and ThriveCart Setup21:03 Email Systems — Transactional vs Marketing Emails25:00 PostHog — Analytics and A/B Testing for Your App27:48 Full Vibe Coding Tech Stack Recap30:58 The Master Prompt to Deploy Your App33:08 Q&A — Lovable vs Claude Code and Getting Started35:22 Building Free or Nonprofit Apps Without Going Bankrupt37:50 Claude Code Remote Control — Channels, Dispatch and More39:35 The Danger of Always-On Coding From Your Phone40:40 Why AI Tool Costs Shouldn't Stop You From Building42:23 Is AI Overhyped? The Levels of AI Usage44:03 OpenClaw vs Claude Cowork — Which AI Agent Should You Use?47:00 Outro and Newsletter —— More Useful Resources —— Find everything else at https://aiwithkyle.com/ | 47m 43s | ||||||
| 3/23/26 | 165: Massive Global Study: 81,000 people CONFESSED what they really want from AI | Get the free Vibe Coding guide here: https://aiwithkyle.com/mini/5-builds Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Kyle’s AI Canon — Curated list of AI learning essentials: https://aiwithkyle.com/ai-canon Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: Three big things today. Anthropic dropped a massive study where they interviewed 81,000 Claude users about how they actually feel about AI, and the results are fascinating. Nearly 19% said AI hasn't delivered what they expected, with my favourite quote being "AI should be cleaning windows and emptying the dishwasher so I can paint and write poetry." Instead, it's doing the painting and the poetry. The data also shows a clear global divide: developing nations are overwhelmingly optimistic about AI while the West is increasingly nervous, which makes perfect sense when you think about who has the most to lose. I also got hands on with Claude's new Dispatch feature, which lets you message your always-on computer from your phone and have Cowork handle tasks while you're out. It's basically Open Claw for grownups, doing 90% of what made that tool exciting but in a much more secure package. Anthropic have been shipping features at a ridiculous pace and they're clearly stitching Claude Chat, Cowork and Code into one coherent system. Plus, a reality check for anyone moving from ChatGPT to Claude and hitting usage limits: Anthropic's real business is the API, not the $20 consumer plan, and that's not changing anytime soon. —— Time Stamps —— 0:00 Intro: Claude and Anthropic Are Killing It0:34 Anthropic's 81,000 Person AI Study Explained5:00 What 81,000 People Actually Want From AI8:08 Is AI Actually Delivering on Its Promises?12:44 AI Accessibility: Changing Lives for Disabled Users14:45 What People Worry About: AI Hallucinations and Reliability16:25 AI Job Displacement: Why This Time Is Different17:56 Existential Risk and the AI Optimist vs Pessimist Debate20:03 Global AI Sentiment: Why Developing Nations Love AI23:24 Claude Dispatch and Cowork: OpenClaw for Grownups29:42 Dispatch vs Remote Control: What's the Difference?30:15 Is Any Job Future Proof? The Solopreneur Answer32:05 Karpathy's AI Job Exposure Tool: How Safe Is Your Job?33:17 Why Anthropic Doesn't Care About $20 Users36:32 OpenAI vs Anthropic: The Business Model War39:45 Outro & Free Resources —— More Useful Resources —— Find everything else at https://aiwithkyle.com/ | 40m 46s | ||||||
| 3/19/26 | 164: How to start VIBE CODING for free (no coding experience required, at all) | Get the free Vibe Coding guide here: https://aiwithkyle.com/mini/5-builds Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Kyle’s AI Canon — Curated list of AI learning essentials: https://aiwithkyle.com/ai-canon Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: Today I stripped vibe coding back to the absolute basics. If you've been hearing the term thrown around and feeling like you need to be technical to get involved, you don't. I walked through exactly how to get started using Google AI Studio's hidden Build mode, which is completely free, requires zero setup, and lets you build working apps just by describing what you want in plain English. I built a social media growth projector live on stream, from nothing to a functioning tool with charts and milestone calculations, in about two minutes. The whole point was to remove every barrier I could think of. No paid tools, no terminal commands, no deployment headaches. Just open a browser, click Build, and start talking. I also put together a second tool, a task automation analyser, to show how quickly you can go from idea to something genuinely useful. If you've had projects sitting on a to-do list for months because you assumed you'd need to learn to code first, this is your way in. Start with a toy project, get the bug, and worry about the complicated stuff later. —— Time Stamps —— 0:00 Getting Started with Vibe Coding for Complete Beginners2:41 Why Google AI Studio Build Mode is the Best Free Tool3:38 How to Use the Chat Interface and Voice Input4:15 Start with a Toy Project Not Your Dream App5:40 Live Build: Social Media Growth Calculator with Gemini10:00 Publishing and Deploying Your First App for Free11:06 Why Learning to Code Still Matters with AI11:44 Bugs vs Features: The Vibe Coding Feedback Loop14:28 How to Fix Bugs Using Screenshots and Error Logs15:28 From Toy Project to Real Business Tool Using Claude16:36 Planning Your Project Before Building19:53 Dropping a Project Plan into Google AI Studio Build20:47 What Beginners Should Skip: Auth, Databases and Deployment22:51 Vibe Five: 5 Mini Projects to Build Your Coding Portfolio24:55 Live Demo: AI-Powered "What Should I Automate First" Tool28:28 AI-Generated Automation Suggestions That Actually Work29:10 Recap: How to Start Vibe Coding Today31:28 Join the Community and Free Resources —— More Useful Resources —— Find everything else at https://aiwithkyle.com/ | 32m 32s | ||||||
Showing 25 of 100
Sponsor Intelligence
Sign in to see which brands sponsor this podcast, their ad offers, and promo codes.
Chart Positions
11 placements across 11 markets.
Chart Positions
11 placements across 11 markets.