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New Member Onboarding. 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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What do I read?
Despite all the ai hubbub and second brains someone asked what I read and IF I read at all anymore. The answer is most certainly YES. You can make connections that might be missed by a million questions with AI by diving into books and reading your self. Some books may not even have most of their pages on the web especially older ones and those are often my favorite. Here are 4 of my current favorite readings to prepare me for the future (by looking at the past) 1. Mythical Man Month (1972 by Fred Brooks) 2. Psychology of Computer Programing (1971 by Gerald M Weinberg) 3. Augmenting Human Intellect (1962 Douglas Engelbart) 4. The Creative Act: A Way of Being (2023 by Rick Ruben) Rick Rubens book is just great in general for business and creative acts.
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Community Guidelines
This community is large and it moves fast. That's the good part and it's also the problem: valuable posts get buried, the same questions get re-asked instead of found, and spammers show up wherever there's an audience. These guidelines are what keeps the room worth showing up to. Read them once. You won't need them again, because most of this is what you'd do anyway. New here? Start with Jake's welcome post and the Foundation course. This post is about how we behave, not where to begin. 1. Build in public. Post the thing while it's half working. A half-finished build is more useful to everyone else than the polished writeup you'll never get around to, and you'll get corrected before you've spent a week going the wrong way. 2. Teach what you learn. The day you figure something out is the day you're best at explaining it, because you still remember exactly what confused you. A month later you've forgotten the hard part and your explanation gets worse. If you cracked something this week, that's a post. 3. Ask good questions. Specific beats polite. "How should I structure this?" gets three vague answers. "I have a 40 file client folder, the model keeps loading the wrong context file, here's my CLAUDE.md" gets a real one. Say what you tried, what happened, and what you expected instead. A more in depth guide: https://dontasktoask.com 4. Give credit. If you built on someone's skill, template, folder structure or comment, tag them. It costs you nothing and it's the reason people keep publishing their work here instead of keeping it. A lot of the best material in this community started as somebody's reply on somebody else's post. 5. No spam, no pitching. Sharing a tool you actually use and explaining why you use it is fine. Dropping a link with no context, cold DMing members, or treating the feed as a lead list is not. Networking is genuinely welcome (there's a Connection Hub for exactly that: https://www.skool.com/cliefnotes/new-the-connection-hub-is-live) but networking and pitching are not the same thing, and everyone can tell the difference immediately.
How to scale the ICM method to a large multi-domain system?
Hi all, Before I get to my questions, I want to thank Jake for such a valuable resource in his ICM / F&F method. I am an AI and coding newbie, and this has definitely put me on the fast track. I knew I needed something like this, I just didn't know how to even start looking for it, and then the YouTube algorithm served it up for me. The moment I saw what Jake was teaching, I knew it was my next step in the journey. Thank you! On to my questions. I have gone through the Foundation Course, and I have the full Workspace-Blueprint template. The three-layer method (Map, rooms, tools) has become how I actually work, and I have been running it for a little while on smaller projects. Here is my situation. I am building the operating system for a multi-industry business group, and it has grown into several distinct domains: - an identity and philosophy layer: governing principles, values, and leadership and management philosophy, synthesized from a body of books and courses, - a knowledge layer: a large reference library plus custom tools that extract and organize knowledge from books and transcripts (several thousand files), - a research layer, - an operations layer: SOPs and playbooks for running the businesses, - a learning layer that captures lessons and feeds improvements back in, - a governance layer that holds the enterprise map. Right now this lives across roughly ten separate Claude projects that grew organically. Some began as tools, some as libraries, and each became its own project. Many are stages in a workflow. So, work completed in one "stage" needs to move into another. Most of this was built before I discovered Jake. I am fairly certain I need to reorganize what I have already built, and I am also considering turning some, if not all, of the skills I have created into file-based workflows. The method is taught at the scale of one folder with a few rooms, and mine is well past that, so I want to be sure I am applying it correctly rather than drifting into the "too many workspaces" problem at the project level.
What if the filesystem IS the application? Rethinking internal tools for AI-augmented teams
I've been thinking about something that challenges a lot of assumptions we have about building internal business tools. The observation: Most internal enterprise applications (CRMs, case management, dashboards) are essentially CRUD interfaces sitting on top of a database. You build forms, tables, buttons, modals — all so humans can read and write structured data. This takes weeks/months to build, requires frontend skills, and creates maintenance debt. But here's what I'm noticing: when your team operates primarily through AI assistants (Claude Code, Cursor, etc.), they're already reading and writing structured files. Markdown with YAML frontmatter becomes a database row. A folder structure becomes a schema. A file becomes a record. The AI reads context from files, writes outputs to files, and the human reviews in the same environment. The question that keeps nagging me: If your internal operators spend 80%+ of their time in a terminal/AI environment anyway, do they actually need a web UI at all? Could a well-structured filesystem (folders = tables, files = records, YAML frontmatter = fields) serve as the entire "application" for internal operations? Where I think this works: - Small teams (3-10 people) where everyone uses AI tools daily - Structured workflows where files follow strict templates/schemas - Operations that are mostly "read context → think → write output" - Teams where the AI assistant IS the primary interface, not a browser Where I think it breaks down (and I'd love to be challenged on this) = Bottleneck = Constraints 1. Governance & permissions — Who can approve what? A filesystem doesn't have row-level permissions. You'd need something on top (even minimal) to enforce "only person X can validate this change." 2. External stakeholders — Clients, partners, investors who will never open a terminal. They need something visual, even if it's read-only. 3. CEO/decision-maker dashboards — Aggregated views ("how many active cases? what's the pipeline value?") are hard to get from ls | wc -l. Someone at the top needs a summary layer.
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