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Afternoon Tea is happening in 3 days
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Welcome to Clief Notes. Here's where to start.
1. Go check out 📚Navigating The Course to see how to get around and what's here. 2. Start with The Foundation. Concepts, folder architecture, prompting framework. Everything else builds on this. 3. Check in at the bottom of each lesson. Polls, discussion posts, other members working through the same stuff. Use them. 4. When you're ready to build real things join in on our Biweekly competitions and win some real cash. ⭐ Competitions Mega Thread 5. If you are wanting to dive into the masterminds, grab all the past templates, artifacts and resources. Upgrade and head into the The Vault for Premium and The Drawing Room (VIP) for VIP 6. Post your work. Ask questions. Help others when you can. What are you here to build?
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🤝 NEW: The Connection Hub is live
👋 Welcome to the Connection Hub - The Vault · Clief Notes So I was on the onboarding call this today, and one thing kept coming up that I couldn't stop thinking about: The biggest value of this new age isn't just the tools. It's the people. 👥 Specifically — people who understand AI the way THIS community teaches it. Not "prompt hacks" and not "10x your output" nonsense, but actually building systems, thinking in workflows, and treating AI like a real part of how you work. That's a rare group. And a lot of you told me the same thing: 💬 "I'd love to work with someone who gets this." 💬 "I want to break into [industry] but don't know anyone in it." 💬 "Who else here does what I do?" So instead of letting those connections happen by accident... I built a place for them. 👇 🗂️👋 Welcome to the Connection Hub - The Vault · Clief Notes It's a simple set of pages, split by industry. You find your corner, drop a quick intro about what you actually do and what you're looking for, and connect with people who speak your language.
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📢 Recordings of Tea Masterminds are live: The Second Brain
🧠 This round was about what a second brain actually is: a context layer you and your AI both read, not a notes app. The Afternoon Tea is the teaching. The High Tea is the room putting it to work on scale, memory, trust, and security. Here is what I want you to understand about these drops, because it is the whole point of being in here. While the videos are valuable and being able to sit and answer your questions is a big reason for them that's not the only value they hold. 📄 Every drop is a set of working files. Markdown built to be used and reused. Each one ends with the exact data to give your AI for your own situation. This round also ships a starter folder you can open, run the self-audit on, and walk away with the skeleton of your own second brain in a sitting. 🤖 I build them expecting you to feed them to your AI. That is the design. Hand a whole round to Claude in a few minutes, whether or not you made it live. The room's thinking is in the files, so you lose almost nothing by catching it later. 🔄 They adapt. A prompt pack is frozen. These are meant to be reshaped: update the context, swap in your own work, bend the templates to your process. And they grow on my side too, as we learn together in these calls. The call is dialogue. The package is that dialogue, crystallized into something you can run. Next round builds on this one. ☕ Afternoon Tea 6 →Afternoon Tea 6 (Second Brain Chat) 🫖 High Tea 10 → High Tea 10 (Second Brain Deep Dive) 🧭 How you should use these: 🔹 Show up live when you can. Your questions shape the next drop. 🔹 When you can't, rewatch, or drop the files into your AI and run the prompt at the bottom. 🔹 Open the starter folder and build your own version. Rename it to your work. It is yours to keep. 📚 A mastermind ends when the call ends. What you get here keeps working after: a structured version of your own thinking (and some of my own thinking!) that improves every round. In my opinion that is worth more than the hour in the room. (or three as some of you stick around in these calls to chat)
The Fellowship of the Forge
I’ve been sharing in here about my work building a construction crew to help build bakeries - a workspace I have named Mira’s Forge. In my “hey I think I have 30-40 hours of Fable tokens left, YOLO!” post, @Alex Brown asked for a video about the build. And I was like “hmmm I didn’t film anything”, but in my next comment I was like “I keep *really* detailed records and I have Fable tokens which are about to expire” (or not, but I wouldn’t know that for about another 12 hours) 🤔. This is that video. Turns out it was long, because I talk too much and I keep detailed records. I’m hoping this might be of interest and value to some here. I would love to know what you think. https://youtu.be/vUSvUnlrcxk
Stretching Claude Further: ICM to Orchestrate 2,350 Local Workers
We've been experimenting with treating ICM not as the whole system, but as one layer inside a larger orchestration architecture. For us, ICM solved something much bigger than prompting. It solved context. How do you keep models focused? How do you stop them from reading entire repositories? How do you bound work? How do you reduce drift? How do you move toward convergence? ICM gives us work packets, context contracts, routing, validation, and controlled handoffs. Once we started implementing it, we found ourselves asking: What happens if we build around that? Internally we've been experimenting with a governance layer we call AQ-CMF (just our internal name for it), but I think the more interesting thing to share is the orchestration itself. Right now it's basically a small "Swarm Orchestration Starter Pack." The idea is simple: Use the smallest model capable of doing the work. Reserve larger models for judgment and reasoning. Current setup: RTX 3060 12GB • 2,200 binary filtering workers • Qwen 0.6B • yes/no decisions • triage • filtering • classification RTX 5060 Ti 16GB • 150 structured extraction workers • Qwen 4B • schema completion • information extraction • template generation Cloud reasoning layer (introduced to me by @Ari Evergreen 's post https://www.skool.com/cliefnotes/i-run-100-agent-workflows-on-a-budget-model-heres-the-catch) • up to 200 Kimi 70B workers • interpretation • reasoning • code generation • higher-complexity analysis Claude Code • orchestration • synthesis • validation • architecture decisions • final judgment The smaller models don't really "think." They observe. They classify. They extract. They filter. Claude assembles. Claude validates. Claude decides. One thing we've noticed is that this also changes the economics considerably. Instead of paying frontier-model prices for every operation, we let local models perform the cheap labor.
Stretching Claude Further: ICM to Orchestrate 2,350 Local Workers
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