What is one AI task you stopped automating because it caused more work than it saved?
摘要
I think we talk a lot about what AI agents can automate, but not enough about what they should not automate. Sometimes a workflow looks perfect on paper, but once it runs in the real world there are too many exceptions, wrong decisions, or manual fixes. Have you ever automated something and later turned it off because it created more work? What went wrong? I’m more interested in real examples than successful demos.
I think we talk a lot about what AI agents can automate, but not enough about what they should not automate. Sometimes a workflow looks perfect on paper, but once it runs in the real world there are too many exceptions, wrong decisions, or manual fixes. Have you ever automated something and later turned it off because it created more work? What went wrong? I’m more interested in real examples than successful demos.
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