For those running agents on a recurring schedule (daily/overnight), I'm tightening my own setup and curious how you handle two things: 1. Stale or wrong context — how do you stop a scheduled run from acting on yesterday's state or drifting from the current workspace? Cold start every time, a freshness check, something else? 2. Autonomy vs approval — how much do you let a scheduled agent actually do unattended versus leave as a draft for you to approve? Where's your line between "just do it" and "prepare it and wait for me"? Mine currently drafts everything and waits for a human yes, but I suspect I'm leaving easy wins on the table by not letting it act on the safe stuff. Where do you draw the line, and what burned you?

This has been one question i have always asked and kept trying to understand until recently. I've seen it asked and discussed multiple times here... So i decided to combine, study and comprehend the various perspective of those who have shared how they are using it @Curtis Hays and many others, to come up with a simple way for me to implement. Here is my personal understanding: Say we are four people in the marketing department, and i am the only one who has built an content pipeline using the ICM framework, now i want onboard the other 3 coworkers and you're one of them... lol 😀 We have one master system, the original pipeline i'm using is now hosted on GitHub (with the same agent.md and context.md, rules and stages). Step 1: Getting the System on Your Computer You copy/clone the entire workspace from the internet (GitHub) to your PC. This gives you the same folders I have: 01-ideas 02-drafts 03-formats etc Step 2: Creating Content Open your copy of the workspace. Talk to ai agent while in the folder normally. Example conversations: “Give me ideas for LinkedIn posts about productivity” “Turn idea number 4 into a full draft” “Format this draft for Instagram carousel and Substack” The agent uses the shared system I built, so all our content has the same style and quality. Step 3: Sharing Improvements If you create a better prompt or improve one of the stages: Tell the agent: “I improved the carousel format, make a Pull Request” I (or the content lead) will check it. Once approved, everyone gets the improvement automatically. Step 4: Where Files Live Your ideas and drafts: Stay on your computer (or save final versions to the department Google Drive, which we all have access to). The framework (how we create content): Lives in the shared system (Github). - What You Need to Do Install Git (one time, easy). Clone (copy) the workspace. Use AI agent within the folder workspace.

Just dropped a 23 minute deep dive on the folder architecture I keep showing snippets of. This time I actually walk through the whole thing from scratch and explain every layer. Covers: what tokens are and why they matter, what markdown is, the three layer routing system I use, how CLAUDE.md works, how skills plug into the system, and how naming conventions replace databases. I also built a template you can download and start using today. If you're on Premium or VIP the template files are already in The Vault. If you're on free, the video covers everything conceptually so you can build your own version no need to upgrade! Just want to add more value to my early supporters before the full paid content is done being recorded. Drop your questions in the comments. I want to know where I moved too fast or what needs a deeper dive so I can make the next one better.