Are Ai agents creating a new workflow management problem with managed OpenClaw?
The more I work with Ai agents, the more I notice that the models are getting smarter faster than the tools we have to manage them.
Getting agents running is becoming easier. Managing them long term feels much messier, even when using a managed OpenClaw setup. Once multiple workflows stay active across coding, research, automation and background tasks, I start running into operational problems like: keeping track of active sessions, supervising unfinished work, reviewing outputs and understanding what actually completed successfully.
Feels similar to how software systems become harder to manage operationally as they scale. I am starting to think workflow supervision and organization might become one of the bigger areas around AI agents over the next year.
Has anyone else noticed the same problems when workflows stick around for a while?