I realized that my background in Psychology is especially useful in understanding learning patterns in humans. So I thought: what if I apply it to AI? Unfortunately, AI does not perceive anything as a reward, but here are some interesting perspectives gained from my conversation with Claude on creating/improving a self-learning loop: - Encoding specificity. A lesson works best when it's loaded where the cue occurs. A global lessons file competes with everything else in context. The same rule placed in the CONTEXT.md for the task it governs gets applied far more consistently. - Implementation intentions. "When drafting outreach emails, cut the first paragraph" beats "I prefer directness." If-then phrasing gives me a trigger, not a vague value I have to interpret. - Contrastive examples. One short good/bad pair often transfers better than a paragraph of explanation. It shows where the line actually is. - Interference. As lessons accumulate, they start blurring and contradicting each other. Your proposals inbox needs a consolidation step: periodically merge, prune, and resolve conflicts, so you keep 10 sharp rules rather than 60 overlapping ones. - Salience. Rules buried in the middle of long files get underweighted. Put the few that really matter near the top.

Yesterday I had the the amazing opportunity of attending the talk of @Pedro Costa (Pedro Ribeiro da Costa | LinkedIn) in Santander Cafe Madrid about ICM. It was refreshing seeing a presentation of AI that is truly focusing on the right problem. and interestingly enough of all the hours I have already studied of ICM, Pedro was able to teach me so much in that hour presentation.

I've been quiet lately between personal projects/lyceum/day job and life with family and friends. Rest assured, I am still working. Had this idea this morning to make a tool for folks to visually audit your ICM workflows in the order that the agent reads files for a given task. Turned it into a skill for everyone here. https://github.com/donroy26/workflow-tracer Invoke the skill for a given folder and write the task you want and the agent will give you a dashboard like shown in the attached photo. You can then audit all the files it walks for that task and see if any wires are crossed. Let me know what you think!

A paper in 1962 already started talking about the main ideias of ICM, and the most interesting part is that it was trying to understand the architecture of complex systems and how they tend to hierarchical architectures. An awesome read that will allow you to understand ICM even better. A quote from that paper : "Perhaps the simplest possibility is for the complex system to serve as a description of itself"

I joined this community four weeks ago already believing that ICM had huge potential. I decided to dive in headfirst. I was already and AI Engineer working on multi-agent systems, but ICM became my new standard. A. The Foundation I started with The Foundation, and it taught me far more than I expected. Not only about ICM, but about AI systems and how to build them with clearer structure, context, and intent. B. From Learning to Building I started experimenting with ICMs for databases, streamlined video production, sales-discovery chatbots, and shopping assistants. Some were practical. Others were completely random experiments designed to help me understand what was possible. But things quickly moved beyond experiments. C. ICM Helped Me Land a New Job I used ICM in a demo assignment during an interview. I aced the assignment, got the job, and start next month. D. Six Months of Work Rebuilt in One Week At my current job, I had built a system combining a crawler, vector database, and multi-agent deployment. The original system took me six months to develop. I rebuilt it using ICM in just one week. The ICM version is slightly slower, but the quality of its answers is noticeably better. The client agreed that the improvement was worth it. E. Less Complexity, Faster Delivery For another client, I had planned a traditional multi-agent system. After redesigning the solution with ICM, I now estimate that the development time will be cut roughly in half. F. I have also taken on two new clients In the past, I might have worried about whether I could deliver what I envisioned. Now, knowing what ICM makes possible, I feel confident taking these projects head-on and delivering genuinely strong products. G. Learning, Contributing, and Growing Along the way, I joined VIP, learned a ton, and got to use EDUBA, which has been a great learning experience as well. I also reached #1 on the leaderboard and earned lifetime VIP. More importantly, being active in this community has pushed me to keep learning, experimenting, sharing, and building.