That's the surface reading. And for non-native speakers like me, it's true. I use AI to sharpen my English. My ideas are mine. My time on both sides of the operator-vendor line is mine. Claude helps me say it cleaner. I'm not hiding that.
But scroll LinkedIn for ten minutes and you'll notice something. A lot of very smart-sounding posts. Crisp structure. Perfect rhythm. Vocabulary that suggests deep expertise. And behind it - a CV with three jobs in two years, none of them senior enough to have owned the problem they're writing about.
AI can polish language. It cannot manufacture experience. It can structure an argument. It cannot provide the scar tissue that makes the argument worth reading.
The tell isn't in the writing anymore. The writing is perfect - that's the problem. The tell is in the biography. Does the CV support what the post claims? Has this person actually been in the room when the decision went wrong - or are they describing the room from a vendor's brochure?
I've sat in those rooms. I've made platform selection mistakes that cost real money. I've survived audits that weren't theatre. When I write about what operators get wrong, it's because I've gotten it wrong myself.
The best AI writing tool in the world cannot give you that.
And you'll know. Get on a fifteen-minute call with someone. Ask the second question - the one that isn't in the post. Ask what went wrong, not what went right. The person with real experience will go off-script immediately. They'll name the specific thing that broke. The person without it will give you a framework.
So here's my filter, and maybe it's useful for yours too: when a post sounds too polished and too confident - check the author's experience, not their prose. And if you're still not sure, book a call. The writing has never been easier to fake. The conversation hasn't.