Hey guys, Been running the folder structure for a while now — works great. I added one more layer for client projects: sub-agents get spawned inside the client folder, giving you a zero-bleed architecture where they literally can't touch anything outside their scope. A separate agent handles knowledge base access and passes relevant info down to them. Clean separation, no cross-project contamination. This works pretty well. But: Regarding David's 5 Levels of AI Mastery (here in the classrooms) folderstructure + CLI is level 3. Who do we get further? Level 4: Multi-Agent Systems David talks about naming the agents, and only talks to the orchestrator, which hans the tasks over to another agent. My approach: since we're using Skills instead of named agents, I'd just drop something like this into CLAUDE.md: "You are an orchestrator only. Spawn sub-agents for every task, as many as needed. Make sure each one has access to the right skills and context." Is that what David means — or is there a better way? Concrete use case: I've got a 30h course project with outline and skills already built. Do I just tell Claude to slice it up and spawn sub-agents freely, or does it make more sense to hard-code the orchestration. somehow? Level 5: The Factory (the team runs without you) Level 5 is defined as " you explain the goal, go to sleep and wake up a fullfilled work. In my opinion, you could go any further, and let an agent review the status of all projects and start the work on his own (e.g. checkiing Meta ads -> deleting bad ones, creating new ones). Right now, I am running on my macbook. But I think the next step would be to deploy it to the cloud, so n8n workflows and scheduled tasks in my workspace would live in the same place. Where would you host it — VPS, Supabase? Which SDK — Claude Agent SDK, Anthropic SDK, custom dashboard? And how do you handle security at that scale?

Hey guys, I just thought about AI and Agents within small companies (less than 10 employees). As Claude etc. has some serious problems with the European GDPR, I was wondering if anyone is using Microsoft Copilot and Studio and could tell me his opinion about it in comparison to Claude? Like, I am not talking about software dev, but general AI agentic work. Like, Getting shit done. Do you also using the folder structure in Copilot? Is it worth a try? Can you connect external MCPs? Cheers to everyone!

This might be a basic question, but I'm trying to figure out the best way to structure my marketing folders when juggling multiple products. Would you recommend a Task-Centric or a Product-Centric approach? For context: I work on very different projects (course, Consulting, and now also small Software/Apps), but they all share the exact same marketing processes, like social media marketing. This initially made me lean toward a Task-Centric structure. However, the downside is that all the specific assets and data regarding a single product end up scattered everywhere. On the other hand, I realized this problem is actually much more far-reaching. I have a single, overarching website that hosts multiple products. Because of this, many assets (like website copy, global funnels, or general branding) have no direct reference to just one specific product. In a strict Product-Centric structure, there's no logical place to store these shared assets. Furthermore, the massive benefit of the Task-Centric approach is having a single, centralized place to store instructions (SOPs) and learnings, so that those skills continuously improve across all projects in the company. Because of this dilemma, I came up with a third option: a Hybrid Structure. In this setup, I store all overarching Learnings, Skills, and Templates (including global website/brand assets) on the very first layer (the root folder), while keeping the actual day-to-day marketing and ad assets grouped by Product. (Essentially mixing Example 1: Content Creator and Example 2: Freelancer from Lesson 3.2). What are your opinions on how to structure this best? What would you improve? Product-Centric: Marketing/ ├── Product 1/ │ ├── Scripting & Angles/ │ ├── Video Production/ │ │ ├── 01_Projects/ (Premiere, AE) │ │ ├── 03_Footage/ (Raw video) │ │ └── 04_Exports/ (Final MP4s) │ ├── Carousel Production/ │ └── Learnings/ └── Product 2/ ├── Scripting & Angles/ └── ... Task-centric: Marketing/ ├── Scripting & Angles/

Hey I'm working in Antigravity and using Claude Code and hitting my limits daily. How do you handle hitting the limit? Do you have a workaround to deal with it? Certain tasks handled by other LLM? Complete switch after the limit is hit? What LLM do you switch to? I'm a bit nervous to use another LLM... afraid of the quality of the work it will do. A lot of questions in one post. 🤯 Please share your thoughts.

Most property analysts still manually dig through Grundbuchauszüge and Exposés. It's slow, error-prone, and doesn't scale. So I built Kimora — a fully local LLM-powered document analysis tool designed for German real estate workflows. What it does: ✅ Analyzes German property documents (Grundbuch, Energieausweis,Exposés..) ✅ Extracts structured data automatically using a local AI model ✅ Detects missing or outdated documents and flags risks automatically ✅ Tracks all activities, tasks & work done per property object ✅ Keeps a full history log so nothing falls through the cracks ✅ Generates clean PDF reports — no copy-pasting ✅ Prepares and publishes Exposés directly to social media (Instagram, X, Linkedin..) ✅ 100% local & GDPR-friendly by design ✅ Fully Dockerized — spin it up anywhere in minutes ( I love Docker 🐳 )