New to GitHub? Skip the confusion (Free Guide): https://aiwithkyle.com/mini/github

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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.

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Want to run AI privately on your own laptop? (Free Guide): https://aiwithkyle.com/mini/local-llm

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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.

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0:00 Intro: How to Run AI on Your Device

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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.

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0:00 Why Your Job Isn't Safe From AI Anymore

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

ChatGPT Images 2.0 Business Guide (Free): https://aiwithkyle.com/mini/chatgpt-image-2

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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.

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0:00 Intro: GPT 5.5 Just Dropped

— 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

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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.

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0:00 Introduction — ChatGPT Images 2.0 vs Nano Banana 2 Pro

— 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.

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0:00 Intro: The AI Pricing Era Is Here

— 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

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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.

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0:00 Intro: Claude Design and the Figma Killer Hype

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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

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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.

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0:00 Claude Opus 4.7 Launch: Community Reaction & Early Verdict

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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."

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0:00 Claude Code for Beginners: New Desktop App Makes It Easy

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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: 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.

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0:00 What Is AI Orchestration and Why It Matters

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