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The “Car Wash Error” — Why AI Makes Your Documentation Sound Better (And Be Wrong)
AI can polish your content until it shines — and quietly remove the parts that matter most
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There’s a moment that happens now with unsettling regularity. You paste a chunk of documentation into an AI tool. It comes back cleaner. Tighter. More readable. The sentences behave themselves. The tone sounds like someone who drinks water and meets deadlines.
👉🏾 You think, “Well, that’s better.”
Then you look again.
👉🏾 The warning is gone.
👉🏾 The prerequisite has been politely implied into nonexistence.
👉🏾 The conditional step has been simplified into something that would work beautifully in a world where nothing ever goes wrong.
Nothing looks broken. And yet, everything is just slightly… off.
This is what some call the car wash error.
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What Is The Car Wash Error?
It’s not a formal term. We won’t find it in industry research papers. It’s a practical observation from people who’ve watched content go into a machine and come out looking cleaner while quietly losing the important parts; the ones that mattered.
Put simply, the car wash error happens when AI makes content smoother and easier to read, but not helpful in real-world situations. The content goes in with dents and bugs 🐞 on the windshield. It comes out polished.
But then, somewhere along the way, a side mirror falls off.
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