Am I the only one thinking AI workflows are more of a burden than relief?

I reckon we have all seen demos where someone’s multi-agent framework spins up, researches a topic, writes code, and deploys an app while they grab coffee. but when i actually try to set something up locally to handle basic daily tasks, i spend three hours trying to make things work, only to watch the agent get stuck in an infinite loop trying to read a single text file. it feels like we are spending more time babysitting frameworks than we are actually saving. by the time i debug the prompt chaining and fix tool definitions, i could have just done the task manually twice over. are people actually running these autonomous setups for real daily work? what is an agent workflow you have actually kept running for more than a week without it crashing?