I just watched a video about Vercel Eve and I'm struck by how similar their proposal is to Jake's ICM framework. I've included the link below if you're interested. https://vercel.com/eve https://github.com/vercel/eve

New lesson and Module dropped in The Foundation. Module 0.1: Where All Of This Leads. Main video is also on YouTube. 📍This is one of my favorite videos I have ever made. It pulls the whole methodology together in one sitting and showcases a few tools my team has been building on the back end. The dialogue extraction tool Kay built, the voice-controlled Claude Code setup we ran in a live call, the full content pipeline running from one folder. 📝Watch it no matter where you are in the course. If you are brand new, it shows you where this all leads. If you have been here a while, it shows you what we have been quietly building. 🔗 Module Zero is where I will place new foundational videos as time goes on as well. 0.1: Where All Of This Leads - The Foundation · Clief Notes Comments are open. Curious which part stands out most for you.

If you are curious what my late nights look like, its staying up till 2 Am to post videos like this. Twelve minutes on thinking machines. Descartes, Lovelace, Turing, Searle's Chinese Room, and why the AI consciousness argument we're having right now is already four hundred years old. Animations built with my automation structure. Script and content is all me though. Going to decide where this fits in the courses and maybe make a text companion. A new style I may keep for a genre of future videos if people like it. Let me know what lands.

First Monday. First winner. Let's go. @Alexander Paschka topped the 7-day leaderboard with +454 points and earned himself free lifetime VIP access. (Thousands of dollars in value) He was already a paying VIP member, so we upgraded him to Free lifetime access. Free members get upgraded to Premium etc. That's how this works. You show up, you lead, you get taken care of. Now here's the part worth paying attention to. Alexander didn't rack up 454 points by gaming the system. He posted a real Win🏆. One of his clients is buying 10 seats of Claude Enterprise, and Alexander is leading the training. He learned how to do that here. Then he went out and sold it. The community went crazy because that post was useful. People wanted to know how he did it, what he said, how the conversation went. That's engagement you can't fake. You share something real, people respond. And that's the lesson buried in the leaderboard. The thing that got Alexander to #1 is the same thing that works on LinkedIn, on YouTube, on any platform where attention matters. You give people something they can use and they come back for more. The skills that make you valuable in this community make you valuable everywhere else too. I mean its the reason this community exists in the first place. And now you have a place to practice it, if it works here you know it will work every where else. Shoutout to @David Vogel at #2 with +221. David has been showing up in almost every post and every live class adding real, specific, helpful input. Consistent. Week after week. (He earned VIP early on) Keep watching that name. Millenial Cat and Shirsho Guha rounded out the top 4. Respect. The leaderboard resets soon. New week. New race. Whoever is on top next Monday morning gets the same deal. Free lifetime Premium if you're on the free plan. Free lifetime VIP if you're already VIP.

For those of you who've been following me on social media for a while, you've heard me say this over and over: building your own agent frameworks is a waste of time. Stop doing it. Stop paying people to do it. Stop learning how to do it. (Unless you like local projects, that's fun) Anthropic just published this today: https://www.anthropic.com/engineering/managed-agents Here's what it is in plain terms. Managed Agents is a hosted service where Anthropic runs the entire agent infrastructure for you. The loop that calls Claude, the sandbox where code runs, the context management, crash recovery, security, scaling. All of it. You define what the agent should do (system prompt, tools, connections to your systems) and they handle the rest. The key line from their own engineering team: "Harnesses encode assumptions about what Claude can't do on its own. Those assumptions need to be frequently questioned because they go stale as models improve." They gave a specific example. They built a workaround into their harness because Sonnet 4.5 would quit tasks early when it sensed its context limit approaching. When they ran the same harness on Opus 4.5, the problem was gone. The fix became dead weight. One model release made their own engineering work obsolete. Now think about what that means for every startup and every freelancer building custom agent harnesses and selling them to clients. Every assumption they baked into their code is a bet against the next model release. And the frontier labs are shipping new models faster than anyone can maintain a harness. This is the thesis. Your value lives above whatever just got commoditized. The infrastructure layer of agents just got commoditized. The thinking about what to build, why to build it, and how to structure the work around it did not. That's what we teach here. That's why we focus on the 60/30/10 framework, on understanding which layer a problem belongs on, on prompt architecture and workflow design.