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Our human review team caught 800 missed AI errors, that stunned me
I manage an ecommerce site in Austin and everyone keeps pushing full AI automation for product descriptions. We ran a 3 month test on 5,000 listings where AI wrote everything and then a human reviewer checked the bottom 20%. That reviewer flagged over 800 issues like wrong sizes or fake material claims. One reviewer, Dana, literally told me 'the AI sounds confident but it has zero clue about what a zipper actually does.' Has anyone else found that human checks still beat pure automation?
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max_torres4425d ago
Look at what Dana actually caught, not just the number. Wrong sizes and fake material claims are the kind of errors a customer only finds after the box shows up. That means every one of those 800 was a return, a refund, or a nasty review waiting to happen. AI can crank out 5,000 descriptions in an afternoon, but it has no body, so it never held a jacket or felt a fabric. It learns that zippers exist from text, not from zipping anything. So the real cost of full automation is not the writing, it is the returns you eat six weeks later. Your bottom 20% review was cheap insurance.
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