This post is not about ICM, it's about learning the AI systems you are using in the ICM space. If you are new to ICM and you are looking to learn the structure and how to apply it, please see the posts below: (They will serve you well) 1️⃣Jakes Van Clief's Welcome: https://www.skool.com/cliefnotes/welcome-to-clief-notes-heres-where-to-start-2?p=f8f85a09 2️⃣Mira Bradsaw's collection of getting started: https://www.skool.com/cliefnotes/clief-notes-gems-for-starting-in-icm?p=0385cbf9 |---------------------------------Let's Begin---------------------------------------| 👇 📝Note: This post is not for people already working in the space, it's not for people who understand AI, it's for the people who are sitting in silence, watching the rest of us do those things. 🚦So, let's get started with real talk about what AI is here. A lot of smart people are quietly carrying around one perceived embarrassing question, what actually IS this "AI" thing everyone keeps talking about? If that is you, drop the embarrassment right now. You are not behind; we are all on the frontier of this thing called AI. The word AI has been stretched to mean everything and nothing, and there are many reasons for it, I will name the three reasons I see that create the most fog: 1️⃣People rushing to break into AI before they get it. 2️⃣People holding one piece of the puzzle like it is the whole thing, then screaming "I'm right!". 3️⃣People who just want to sell you something. If you notice a pattern, so did I and it's not the AI, it's the people pushing it! None of them are trying to make YOU capable. And that is why I love @Jake Van Clief and his team for creating a community which actually is! Today I start a journey to help remove the fog. 👇 The one-sentence version: AI is software that "LEARNED" to spot patterns from a huge pile of examples and uses them to make a good guess about something new. 💡

Everyone says you can't build and ship a real app live on stream. Too fragile. Too many things break on camera. So that's exactly what I'm doing. For two days. And Fable is the clock on it. Fable, Claude's newest model, goes metered on the 7th. This marathon runs two days straight, right until the moment the meter flips on. It starts with Fable free and ends with the meter starts running. A proper send-off, live, as it happens. Here's the twist that makes it worth watching. The app eats the stream. I'm building Mist, an iOS photo app. Fable is the hands. I direct. And the one signature effect we ship gets tested, live, on a screenshot of the stream you're watching right then. The app develops photos of its own creation. Building and developing, same word. That is the whole show. The finish line is real. A green "Ready to Test" checkmark in TestFlight, landing on air. Not a staged demo. One hero effect, shipped for real. This isn't magic and I won't pretend it is. Live build streams faceplant because they put the fragile stuff on camera. Device gremlins, provisioning, signing. So I flipped it. The rule is simple. Pre-flight the boring, stream the real. Every tedious piece is proven before we go live, so only the creative build, the part worth watching, happens on air. If it still breaks, you watch me fix it live. That's the deal. And you're in it. Drop a photo in the Discord and it becomes test data, live. The community's photos are what teach the effect to see. Bring the ugliest, weirdest photo you own. The thing I actually believe, and the reason I'm doing this in public. Shipping live isn't a coding problem, it's a staging problem. The model can do the work. The craft is designing the run so only the survivable parts face the camera. Constraint is the skill. Two days. One effect. One real ship. A send-off marathon that runs right through Fable going metered, building something that photographs its own birth. Twitch: twitch.tv/ari_evergreen

I had no idea I wasn't actually using Claude Code this whole time, via the desktop interface... 😭 Attempting to give the desktop my 11labs voice agent to initiate workflows and discuss current operations within the build revealed the error.