Anyone else finding long running OpenClaw workflows harder to supervise?

I have been experimenting more heavily with OpenClaw workflows and something unexpected started happening once I moved beyond simple one off tasks. The workflows themselves work fine most of the time. The difficult part became supervising everything after a while. Once multiple sessions started running across coding, automation and research tasks, things became messy surprisingly fast: multiple terminals, unfinished runs, forgetting which workflow already completed and coming back later and needing to rebuild context again. At first I thought setup and infrastructure would be the hard part, but workflow organization ended up being a bigger challenge for me. I’ve seen some solutions that aim to act like a mission control for Ai agents tracking progress, managing tasks and giving visibility into long running workflows If others using OpenClaw heavily are hitting similar workflow management problems once things scale beyond a few simple automations.