🎟️ PRIZE: FREE SEAT IN THE LYCEUM 🎟️ Pick your cohort. Technical, Business, or Creator. Your call. ---- 📋 THE CHALLENGE You are the client this week. No fictional Marcus. No fictional Sarah. No fictional Devon. Pick a real problem in your own life or work. Build the folder-based specialist you wish you had. This is the capstone of Month 2. The challenge flips. Instead of building for someone else, you write your own brief and solve it for yourself. ---- 🎯 THE TWIST The hard part isn't building. The hard part is scoping. Picking the right problem is harder than solving the wrong one. Most people pick problems that are too small or too vague. The skill this week is treating yourself like a real client. Be specific about what's broken. Be specific about what you need. Don't pick "I want to be more productive." Pick "I waste two hours every Sunday night writing the same kind of LinkedIn carousel posts and I need a folder that handles 80% of the draft work so I can focus on the hook and the visuals." That's a real brief. Specific problem. Specific scope. Specific desired output. ---- 🗂️ TWO DELIVERABLES THIS WEEK This is the only week with two pieces: 1️⃣ Your own client brief. 250 words or less. Describe the problem you're solving for yourself. Treat yourself like a real client. What's broken? What have you already tried? What do you need? 2️⃣ The folder system that solves it. Same structure as every week: - 📄 identity.md - 📐 rules.md - 💬 examples.md - 📚 reference/ - 📖 README.md Your brief lives at the top of the repo as brief.md so judges can read it before they look at the folder. ---- 🔥 THE ANGLE THIS WEEK Anyone can follow a brief. Writing your own, then solving it, then shipping it as a usable folder is a portfolio piece that demonstrates judgment, not just execution. This is the skill that separates "AI hobbyist" from "AI builder." Anyone can prompt their way through a problem someone else handed them. Scoping a problem, designing the solution, and shipping it as a system is what real work looks like. 💪

I built a skill package that gives each AI agent a distinct thinking style, and upgrades the council skill into a forum of truly independent thinkers. The result: agents that think differently on purpose - tailored to task - for sharper, well-rounded output. First, I want to credit @Curtis Hays and @Brooke Hays for the inspiration. If you haven't watched their video in the post "If Your Specialized Agents Don't Think Differently. They Should." - please do. This is their work, I just wrote some files. They touched on something I've been trying to crack since I started messing with agents a few months ago: how do I make an agent think in specialized ways? How can I get an agent to think from first-principles? How can an agent see things in ways that no one else would? How can an agent connect the dots that I am missing? I tried assigning personalities, pointing agents at a knowledge base, etc, etc. Sometimes this worked - but often, they would fall back to whatever llm baseline was dictating their behavior. Brooke's breakdown of cognitive functions, and Curtis' brilliant idea to assign them to his agents was the spark I needed. I started by re-acquainting myself with the personality types, and building a COMPENDIUM: A reference guide to the 8 Jungian cognitive functions, the 16 MBTI types and their full stacks, and how each maps to an AI agent role. It was built from Carl Jung and Isabel Briggs-Myers' work. It's the single source of truth the other two skills read from — the "textbook" behind the system. The result: a shared, verified vocabulary for giving any agent or task a defined thinking style. Then I got to work on figuring out how I could incorporate this into my ICM workspaces. This led to making the COGNASSIGN skill: A skill that assigns the right cognitive "Mind" to one agent or task. You answer a few job-first questions (what must it do, perceive, judge, and be best at), and it picks a lead function plus a balanced partner, then writes a small procedural block telling the agent how to think — not a personality label. If a job needs too many strengths it tells you to split it into two agents; if it's pure mechanical work it returns "N/A." The result: any agent gets a fit-for-task wiring in one drop-in block, the way the video's two agents thought differently from just four letters.

I’ve managed to convince one of my closest friends @David Chalk to come join us and learn stuff. I’m saying he’s player 2, because I was totally here first, but in real life where we’re pretty similar he keeps reminding me he is the original… Some of you may remember him as my friend who gives me “frank facts”. 🤣 I have promised to help build an ICM system to help him with some things and encouraged him to get some information directly from the source… because he’s totally going to want this built in a way that works for him. So, short version, please be kind to him and help me say hi. I am willing to open predictions on how long it takes for him to come up with good sim racing use cases for ICM while hanging out with this community… I don’t think it will take very long. Also… are we actually some kind of AI cult? Asking for a friend.

I can speak! Got the Claude setup done, It took a while only because I'm not playing around. I'm starting with my COO build, and will work down stream from there. Thanks @Jake Van Clief , this is literally the difference between failure and success. Truly next level my man.

Evidently 35 to 45 year olds can't adjust and a self proclaimed Harvard Business School graduate just said so. Lamenting the firing of people he's known and loved for many years, while at the same time says he's hiring, just said age plays a role in people's ability to adjust to new ways of working. That's the read on the surface of this guy, but what is the real problem he's facing? https://www.linkedin.com/posts/matt-graham-nocode_ai-is-making-some-of-my-employees-obsolete-share-7475533300959477760-UE3Q/?highlightedUpdateUrn=urn%3Ali%3Aactivity%3A7475533302351732736&origin=SOCIAL_SHARE&utm_source=share&utm_medium=member_desktop&rcm=ACoAAAAC2KABGgDyj7_CORV0TYkn0dSmOMRHNmo