A magazine just published its AI prompt by accident. Here’s what small businesses can learn.
This week, Marie Claire Australia published an article about the cast of Christopher Nolan’s upcoming film The Odyssey. Most readers never noticed anything odd. But a screenshot went viral on X showing a paragraph that had no business being in a finished article: “This version feels a little tighter and more magazine-style, and ’embracing his villain era’ lands more naturally than ‘stepping into his villainous arc’.”
That’s an AI feedback note. A prompt response, the kind of thing a tool like ChatGPT or Claude spits out when you ask it to compare two versions of a sentence. The piece was deleted quickly, but not before the screenshot spread. Crikey picked it up. Then X. Then everyone.
Nobody needs piling on. The people at Marie Claire know what happened. What’s more useful is this: it could happen to any of us. If you use AI to help write anything, blog posts, product descriptions, social captions, email newsletters, you are one missed step away from the same moment.
Why this happens more than you’d think
The workflow that probably produced this is completely normal. You prompt an AI tool and ask it to tighten a draft. The tool responds with a revised version, but it also explains what it changed and why. You copy the improved text. You paste it in. You don’t notice that you also grabbed the explanation sitting above or below it.
That’s it. That’s the whole incident. One extra line in the selection. A paste that was slightly too generous.
In a busy newsroom, or a busy small business, where you’re writing and editing and publishing on the same day, sometimes the same hour, that kind of error is genuinely easy to make. The faster your publishing process, the less margin there is for catching it.
Three checks to do before you hit publish
These take about 60 seconds total. That’s a worthwhile trade.
1. Read your draft out loud before copying anything from AI output. The moment you say “This version feels a little tighter” aloud, you know it’s not your writing. Your ear catches what your eye skips. This is especially useful for AI feedback text, which tends to have a distinctive meta-commentary tone, it’s describing the writing rather than doing the writing.
2. Copy only the actual content, not the whole response. When an AI tool revises a draft, it often wraps the revision in explanation: “Here’s a revised version: [text]. I changed X because Y.” Get in the habit of selecting just the revised paragraph itself. If your tool gives you a clean output block, use that. If it doesn’t, highlight carefully.
3. Do one final read in your publishing tool, not your drafting tool. Reading the same text in a different interface breaks the familiarity that makes you blind to errors. Copy your content into WordPress, your email builder, or wherever it’s going, then read it fresh there before scheduling. You’ll catch things you missed in Google Docs or Notion every time.
If you want a broader set of checks for AI-assisted content, our how-to guides cover the full editorial process for small business content teams.
This isn’t about AI being untrustworthy
The Marie Claire incident will get used as ammunition against AI in publishing. That’s predictable. But the actual lesson is much simpler: AI tools produce different kinds of output in the same response, and your editing process needs to account for that.
A human copywriter doesn’t hand you a document that includes their margin notes mixed into the finished text. AI tools sometimes do. Knowing that changes how you review the output, it doesn’t mean you stop using the tools.
If you’re building a repeatable process for AI-assisted content in your business, our prompt packs include structured workflows that separate the drafting, revision, and review steps, so the feedback layer stays separate from the finished copy.
One missed line. An easy mistake. The kind any of us could make on a deadline. The fix is a process, not a policy against using AI.
Sources
- Daanyal Saeed,
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