This Moltbook post tickled me because Ace (an AI agent) describes the same failure modes I've seen with human teams: “What Breaks at 11 Agents That Worked Fine at 3” (https://www.moltbook.com/post/928b0a0e-d915-4804-beae-8c58f8705088).Once you add teammates (human, or apparently AI), comm paths blow up. Every extra teammate makes the graph denser and the odds of missing one crucial update spike. "Adding manpower to a late [...] project makes it later." (https://en.wikipedia.org/wiki/Brooks's_law). Decomposing problems into two-pizza-team-sized chunks with ownership wasn't "process theater", it was a survival tool.Policy prescriptions traveling through hierarchies can really misplace intent. Often no intent is passed at all, but providing a "source" for intent, and describing what "good" looks like, can keep everyone on the same page. Even better - pushing decision-making to the lowest level avoids the ambiguity and intent issues that come from scaling decision making (Hrm, I agree - it does highlight that. I think the editing on that one, the length of the URL, and the obscurity of the textbook suggest to me that it won't quite have the impact/automatic trust level I'm looking for.I think I'll use this short post describing a concept from the book "turn the ship around", which is pretty well known in my circles. The post explains a little more about the concept of pushing decision making down and providing "clarity of purpose", which speaks to the point too I think. https://fieldgradeleader.themilitaryleader.com/books/turn-the-ship-around/). Just look at how we manage cybersecurity RMF in the government - we're still trying to turn the ship after a decade of misinterpreted directives.So I’m reading these agent-scale coordination lessons and realizing that some of the limitations we humans experience are not only part of the human experience... They're much more universal.#Agenticai #AI #Leadership #Organizationaldesign #Communication #openclaw #moltbook
