🙋 A little about me: I'm a video editor based in Argentina. Besides business/work, I'm very big on fitness and am currently obsessed with tennis 🎯 My current goal: Learn the fundamentals of AI and incorporate it into my freelance career for more and better clients. Maybe I'll want to create an agency or network of editors to give the work to when I am overbooked. 💪 What I'm currently building/working on: Once I go through the classes and need to start implementing to follow along, I'll build a folder structure to create carousel posts for one of my clients 🤔 My biggest struggle or question right now: No struggle yet; I need to start building. It's been only 24hs and watched a ton of community posts and gone through the onboarding very thoroughly. I'm anxious to build, but I want to be sure I go through everything very intentionally. Let's get it! 🚀

I’ve done a master’s thesis before: genetic algorithms, XGBoost, Monte Carlo simulations, graph optimization. Lots of ML, long before modern AI could meaningfully help me. Back then, the hard part wasn’t having ideas. It was turning those ideas into structured experiments, reliable evidence, useful visualizations and clear conclusions, without losing weeks to setup, documentation and context switching. ICM changed the game. In one week, I’ve done more research than I managed in six months of my master’s thesis. The difference is not just speed. It’s the number of ideas I can now explore, test and refine: - Turn a vague idea into a concrete research question. - Convert that question into an experiment or proof obligation. - Generate the code, tests and evaluation structure. - Produce visualizations and evidence automatically. - Inspect the results and use them to guide the next idea. - Keep the reasoning, context and decisions connected throughout. - Do all of the above concurrently. The ICM becomes a research operating system. It helps separate what the code proves, what the experiment observes, what the data supports and what still requires human interpretation. That distinction matters. A test can show that the implementation works. It cannot prove that the model is useful. A result can show that one approach performed better. It cannot automatically explain why. A paper can inspire an architecture. It cannot validate that architecture on your dataset. ICM gives each of these things a place—and connects them into a traceable research loop: question → hypothesis → experiment → evidence → interpretation → next question The most powerful part is that ICM does not replace the researcher. It amplifies the researcher’s ability to think. The human provides judgment, curiosity and scientific direction. The ICM provides structure, memory, continuity and execution. That is why it feels so transformative for ML research. It turns research from a sequence of disconnected tasks into a living system that can continuously generate, test and refine knowledge.

As some of you know I have been working on a few modules for the classroom WELCOME TO THE WISE ARCHITECTS CORNER - THE LEGENDS · Clief Notes For a while now the sign on the door read 👷 Coming Soon 🚧 The First Rung Is Now Open Welcome. This is where we will demonstrate how AI works, where we build human-AI systems that last, and where the person at the keyboard stays the author of the whole thing. You do not need a technical background for any of it. You bring the curiosity, I bring the blueprints, and we build the understanding together. 🪜 Here is the climb This whole corner is one ladder, five rungs, and each rung raises what you can do with the machine: (1) Prompt engineering, talking to the model (2) Context engineering, giving it what it needs (3) Memory engineering, making it remember (4) Loop engineering, making it check its own work and then repeat (5) Graph engineering, running a whole system of them, with you in the chair You walk in asking "how do I even talk to this thing?" and you walk out running a system of them. That is the journey, and the top of this ladder is a system of machines, the bottom is one sentence, and the bottom is open today. 📚 What is open today The whole first rung, Prompt Engineering, all six posts: the Series 1 Overview, three classes, the payoff with its quick card, and my perspective on the rung everybody says is dead. 📆 A few things before you start One series a week. Rung two lands next week, rung three the week after, and this corner is going to grow fast, five weeks to the top. Follow these modules in order. You will find that each rung stands on the one below it, the second assumes you took the first, the third assumes you took the second, and the path only works if YOU climb from the bottom. Start at the map. The Start Here post shows you how every series in this corner runs and points you to the first door, the Series 1 Overview. Do not skip it (I know, you want the techniques, they are one door further and they are not going anywhere, the map is a short read, and it saves you a whole series of wondering where you are).

I remember the first time I saw Jake’s video. I was actually searching for a better approach to agentic AI. I knew something was off but I didn’t know what it was. As soon as I heard “folders and .md files” it clicked. That was an eureka moment for me and I’ve been a member of Clief Notes ever since. Because of ICM I now manage all the moving parts of the AI Clarity studio (4 different platforms) I run with ease and so much efficiency. Although I want to start building more, I’m more of an AI educator facilitating AI clarity to leaders and organizations. I’m not sure how things would have turned out if I didn’t have a structure like ICM that keeps all the moving parts in sync. Evergreen solutions and methodologies are very few in the AI ecosystem and sometimes I think about how privileged we are to be here to witness first hand, ICM in all its glory. If you are here, you already won. All you need do is put in the ICM reps. Learn, share, build, test, deploy, interact, connect and the rest will sort itself out in due time. 🏆 Congratulations to all the winners! 🏆

Many times I cringe when I have to ask for help. So I try to find the information myself first. Thankfully, this community is quick to help, which makes it easier. But it doesn't fully remove that feeling. If you're like me, Clief Notes AI is for you. I now ask it specific questions as much as I need and get very detailed responses. I'll still turn to the community, but this assistant helps a great deal too. Now imagine how good you can get with ICM using this AI as a tutor or assistant. You should try it. See instructions here: https://www.skool.com/cliefnotes/classroom/f3fc312c?md=b890a14a36f34a309a3c07c6abb64c89 Also, for an unlimited experience you can upgrade your plan to Premium or VIP: https://www.skool.com/cliefnotes/plans