I’ve seen a lot of posts lately saying OpenClaw isn’t worth using, and honestly I get the frustration. My first experience with it was messy too. At the beginning we treated it like a normal app. Everyone installed it locally, everyone had slightly different environments, and we kept running into the same setup issues over and over. Instead of building workflows, we were basically debugging machines. After a while it became clear the problem wasn’t really OpenClaw itself. It was how we were using it. What worked better for us was moving away from “everyone runs their own setup” and toward one shared environment that people access from a single entry point. Once there was one stable workspace instead of multiple fragile ones, things started working the way we originally expected. That’s also why hosted setups started making more sense to me. We tested running it through a shared platform (in our case Team9 AI) mainly just to avoid environment problems, and the biggest benefit wasn’t features, it was simply not having to reinstall or reconfigure everything constantly. I think a lot of people expect tools like this to behave like consumer software, but right now they feel closer to infrastructure. If you treat them casually, they break. If you treat them like a shared system, they become much more usable. Not saying OpenClaw is perfect or that everyone should use it. It still has rough edges. But a lot of the negative experiences I see sound more like workflow issues than tool issues. submitted by /u/NPC_Boiii
Originally posted by u/NPC_Boiii on r/ArtificialInteligence