How does everybody else organize their workspaces. I have a couple main spaces. Mostly for learning, private, and public. So I can put got GitHub and share the public stuff. These are going to be just shells of the stuff I my private workspaces without my data. The problem I have is when building it out I Crete data because I'm testing, expanding, maturing things. Then I end up with a workspace that is so custom tailed to me and my work 1.) I can't share because there is corporate data in it 2.) cloning all that out leaves such gaps I an't explain how to fill them so it is not helpful for others. 3.) I've posted before how I tend to think, and rethink, reorganize as I learn more and mature my knowledge. So I have thoughts, ideas, and a bunch of 1.2 done projects and ideas. The more this grows the more overwhelming it stares to become because I have to much scattered across multiple process and workspaces. So how do you all organize yourself? Keep your workflows clean, and not so confusing that you depend on AI to control it. If I can't paint the picture in m head of how it flows I'll get lot and rely on Claude and I don't want that. I want to know of just change this file.

I have begun taking the foundations course. I watched every video, read every lesson, and tried to work it, but I have found over the years, and its also true here, that i learn in a different fashion than most. I understood conceptually most of what is in the course, but the problem arose that i could really figure out how to get started. like a roadblock. So, i decided i would put the entire foundations course inside of a folder system, the lesson map, the video transcripts, the text lessons. and then i used CLAUDE.md and CONTEXT.md, to give claude context on myself, who i am, where i am in life, what my goals are, what my aspirations are, how i learn best, my learning constraints. and trained CLAUDE to me by personal tutor for ICM. this has been working out fantastic, i got to use what im learning to create a system, that is better at teaching me, than i would have ever been by myself.

Small test from the last couple days: I started treating context as two layers instead of one pile. Raw evidence stays raw: notes, screenshots, logs, exports, messy captures. The operating context is rewritten separately: short index, current state, rules, and next actions the agent can actually load. That made the workspace easier to reuse because the agent is not asked to carry the entire history every time. Question for people running multiple workspaces: do you keep one central map that routes everything, or a small map inside each active project? I can see both working, but I am leaning toward per-project maps with a tiny global index.

💪 It did not disappoint. 👉TL:DR - It made all AI use cheaper in my environment, made me more efficient, and it increased my memory system usage by almost half. It should be no secret to anyone here: I don't count tokens. 🪙 I'm on a Pro Max plan and I go where the work, and the passion takes me. But I have used Fable before, and I know about the token burn! So I came up with a plan! I pointed Fable at my own setup and pulled the report. 😅 I'm glad I did. Turns out it could've been cheaper and cleaner the whole time. I didn't ask Fable what it thinks. I pointed it at the real thing. My hooks, my handoff files, my subagent config, the actual token counts on disk. Two questions: where does the money go? & how do we spend less? 💡The answers. A silent forgotten tax on every message, A safety hook was injecting around 800 tokens into every prompt I sent. Repeated rules I already load once at the top. And a file that runs at every session start called itself " 450 tokens" in its own header. It was not... it was 7,000. My actual face when I saw this--->🤬 a few moments later--->😆 (Apparently, it's not only AI that is bad at counting sometimes!) My own file lied to me, and I'd read past that number a hundred times with a smile on my face! My long sessions. The ones I'm proudest of. Turns out that hour six is my most expensive and also least impactful at the same time. 💩 I know that models follow instructions worse at higher context. And because the quality was still there, the marathon I read as momentum was being billed to me at top rates for the weakest output of the day. 🙄 My helper agents were all running on the flagship (Most expensive model). These are the agents Claude spins up to send off to do tasks to get more accomplished in a shorter amount of time! This I knew about, and it was by choice, it's my environment and I never hit my 5 hour or weekly cap, so I did not care about this for myself, bigger = better right? Use Fable 5 on UltraCode in my environment, and we find out that logic was wrong....

I've just had the most amount of hallucinations ever in one session. My model is completely making shit up. I have no idea where is this coming from, because I have not modified any of the foundational/instruction files or changed my processes. It's undertaking tasks or modifying files in ways I didn't ask for and it seems to be 'assuming' what I want instead of listening to instructions and its constantly forgetting context now. I'm thinking of removing and reloading Claude Code too if its a potential caching issue similar to the old 'memory' files issue I was having where it was generating custom instruction files outside of our working directory which were negating my claude.md, etc. Anyone else seeing issues increase lately?