(Free Guide) Stop Letting Claude Limits Own Your Workflow: https://aiwithkyle.com/mini/claude-opus-4-7

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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 Pro 3:23 Where to Find the New ChatGPT Image Generator 4:17 Test 1 — YouTube Thumbnail Design Showdown 08:41 Test 2 — Facebook Ad Creative at Scale 14:59 Test 3 — Four-Panel Explainer Comic & Marvel Style 21:16 Test 4 — Event Poster With a Working QR Code 26:36 Test 5 — Turning a Newsletter Into a LinkedIn Carousel 31:51 Final Verdict — 5/5 for ChatGPT Images 2.0

— Useful Resources ——

Find everything else at https://aiwithkyle.com/

(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 Here 0:43 Anthropic Pulls Claude Code from Pro Plan 2:39 Codex Team Trolls Anthropic 4:14 What This Means for $20 Pro Users 5:41 The Broken Promise of Cheap AI 7:15 How Agents Changed the Economics 9:35 Inference: The New Bottleneck 11:45 China's Electricity Advantage 12:25 Solution 1: Switch to Codex 14:05 Solution 2: Run Local Models 15:25 Token Efficiency Tips 16:32 The Future: AI Employees, Not Subscriptions 18:53 Outro & Newsletter

— Useful Resources ——

Find everything else at https://aiwithkyle.com/

(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 Hype 0:45 How to Access Claude Design and Its Brutal Usage Limits 1:45 Shadow Drop, Figma Stock Crash, and What This Tool Really Is 3:45 Building a Duolingo-Style App Mockup from Scratch 6:47 Canvas, Comments, and Team Collaboration Features 7:57 Redesigning Your Website with GitHub Integration 10:58 How to Work With Claude Design: Chat, Comments, and Teams 12:05 The Cream Problem: Why Claude Design Outputs Look Identical 13:58 Beating AI Slop with Skill Packs and Exemplar References 16:03 Team Feedback Workflows and Export Options 17:44 Will Claude Design Kill Figma? The Honest Verdict 19:54 Final Thoughts: Usage Limits and Who Should Actually Use It

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Find everything else at https://aiwithkyle.com/

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 Verdict 05:36 Adaptive Reasoning Removed: A Step Backward for Power Users 08:31 The Hidden Price Hike: New Tokenizer Costs Explained 11:21 MRCR Benchmark Drop: What Anthropic Didn't Tell You 13:52 Usage Limits & Safeguards: Getting Worse, Not Better 16:16 Anthropic's Real Priority: Enterprise Over Individual Users 18:40 The Brutal Truth: AI Is Getting More Expensive 21:13 How to Survive the Token Crunch: Practical Usage Tips

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Find everything else at https://aiwithkyle.com/

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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 Easy 1:27 Inside the Claude Desktop App: Chat, Cowork & Code Explained 2:35 Setting Up Your First Claude Code Project from Scratch 4:33 Talking to Claude Code: Voice Input & Describing Your Build 6:34 Claude Code's New Preview Pane: See Your App in Real Time 7:35 Iterating with Claude Code: Giving Feedback & Fixing Errors 9:48 Full Step-by-Step Recap: How to Use Claude Code Today 11:31 Closing Thoughts & Where to Find the Community

—— More Useful Resources ——

Find everything else at https://aiwithkyle.com/

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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 Matters 3:33 The Restaurant Analogy: Users vs Builders 5:22 Cowork vs OpenClaw vs Managed Agents Compared 7:28 Getting Started with Claude Managed Agents 9:02 Always-On Persistent AI: The 2026 Shift 10:37 Why Parallel Processing Beats Sequential Agents 11:15 The New No-Code Quickstart Interface 12:32 Live Demo — Building an AI News Scraper Agent 16:06 Configuring Environments and Running Sessions 18:36 Iterating and Improving Your Agent 20:10 Anatomy of a Managed Agent: Model, Sandbox and Tools 21:55 Multi-Agent Systems: Managers and Sub-Agents 23:33 How to Develop Systems Thinking Skills 26:35 Business Use Cases: Products, Operations and Consulting 29:54 Summary and Next Steps

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Find everything else at https://aiwithkyle.com/

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 Intro 0:42 What is Claude Mythos? The Sandbox Escape Story 1:32 Separating Mythos Hype from Reality 2:06 Why Anthropic Won't Release Mythos Publicly 2:57 Why Mainstream Media is Ignoring Mythos 4:07 First AI Model Held Back Since GPT-2 4:45 Forget AGI — Focus on What Mythos Can Actually Do 5:37 Mythos Found Zero-Day Exploits in Every Major System 7:24 Anthropic's 245-Page System Card: Why This is Different 8:16 120 Features in 90 Days: Is Mythos Powering Anthropic Internally? 10:09 Is Mythos AGI? The Goalpost Problem 11:58 Project Glasswing: Which Companies Get Early Access? 13:46 The Skeleton Key Metaphor for AI Cybersecurity 15:31 Dario Amodei on the AI Cyber Threat 16:20 IPO Hype or Real Danger? Anthropic Hits $30B Revenue 19:06 The AI Permanent Underclass Problem 20:21 What Engineers and Businesses Must Do Right Now 22:13 Your Wake-Up Call: Why You Need to Be AI Ready 23:57 Q&A: Can Mythos Secure Systems and Who Should Control It? 26:19 Claude Code Source Leak and Why Clean Code is Overrated 29:48 Which Careers Are Most at Risk from AI? 31:09 Every Job is a Bundle of Tasks AI Will Shrink 33:23 AI Won't Take Your Job — It Will Stop New Ones Being Created 35:58 Why Starting a Business is Your Best Move Right Now 38:42 Why Coaches and Community Leaders Will Thrive in the AI Era 40:21 How to Position Your Business Online in the AI Era 42:21 How to Start an AI Consulting Business 44:40 Will Vibe Coding Kill Software Companies? 46:09 Closing Thoughts

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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 Day 1:27 Why Email Lists Are More Valuable Than Social Media 2:41 How AI Powers This Entire System 4:36 The 5-Step Blueprint for Email List Growth 5:57 Creating Short Videos That Convert Followers to Subscribers 7:15 Choosing Your Topic and the Perfect Video Format 9:24 Automating DM Replies with ManyChat and Claude Cowork 10:05 ManyChat Results: What Worked and What Flopped 10:58 Building AI Landing Pages and Lead Magnets with Claude Code 13:57 Monetize Every Signup Instantly with SparkLoop 16:32 The Complete Daily Lead Magnet Workflow 17:28 Why Lead Magnet Quality Makes or Breaks First Impressions 19:21 Live Q&A: Start Small and Build Your Lead Magnet Machine 20:44 How to Define Your Target Audience for AI Content 22:06 Can You Have Too Many Lead Magnets? 24:28 Content Waterfall: One Live Stream Into Multiple Formats 26:48 Wrap-Up and Where to Get the Free Guide

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