AI Automation Isnt Automation If You Still Babysit It
AI automation didn't become interesting because AI learned to automate tasks. It became interesting when we started trusting it with actual work.
There’s a big difference between Here’s what you should do next and I already did it for you. That difference is starting to change how I look at AI automation tools.
A workflow can look impressive in a demo. But when you put it into real work, I think the more important questions become:
→ Did it actually execute?
→ What happens when the input is messy?
→ Can I understand what it did?
→ How much babysitting does it require?
I was looking through Product Hunt’s recent AI automation coverage and noticed something interesting.The conversation seems to be moving away from what AI agents could do and toward what these tools can reliably do inside real workflows.
And I think that’s an important shift. Because an automation that requires you to constantly check it, fix it, restart it, or manually complete the final steps hasn't necessarily removed the work. It may have just moved the work somewhere else.
I’m still exploring this category, but this is becoming one of the questions I use when looking at AI automation products: How much real work can I hand over before I need to step back in?
For people building or using AI automation tools, what has to happen before you trust an automation with real work?
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