Is it really AI-generated? When knowledge, experience, and personality are factored in
Have the article read aloud.
They keep popping up on LinkedIn: posts that blanketly condemn AI-generated text. Yet hardly anyone asks the real question: At what point can a text even still be considered AI-generated if it’s backed by real knowledge, experience, and a distinct personality?
They keep popping up on LinkedIn: posts warning about AI-generated text. Not in waves, not as a coordinated campaign. Just every now and then. In general terms, without distinction, often with an undertone that sounds like: Anyone who uses AI is cheating.
I read them and think the same thing every time. But hardly anyone asks the real question: When, exactly, is a text actually AI-generated?
The question nobody asks
Let’s say someone sits in front of a screen for two hours. They develop a thesis based on ten years of professional experience. They write prompts that reflect their target audience, their style, their tone, and their perspective. They read through every generated sentence, deleting, adding, and rephrasing. In the end, they stand behind the text one hundred percent.
Is that AI-generated?
Or is this an author using a tool?
The blanket condemnation on LinkedIn treats both cases the same. That’s the problem.
How I Got Started
I wasn’t any better in the beginning. When ChatGPT sparked the initial hype, I had it generate texts just like many others did. Just plug in a topic, and out comes the text. The result was fast, convenient, and eventually recognizable.
Not because the AI was bad. But because everyone was doing the same thing. The same phrasing popped up everywhere. The same rhythm, the same clichés, the same generic mediocrity.
I then started having my old texts analyzed—not for content, but for style, word choice, and grammar. That alone was very helpful. But the real breakthrough didn’t come until I discovered the Brand Compass method.
What a Brand Compass Really Is
A Brand Compass isn’t a style guide in the traditional sense. It’s not just about how you write. It’s also about who you’re addressing, what problems you’re familiar with, what language your target audience speaks, what clichés you avoid, and what stance you take on your topic.
My Brand Compass includes both: my voice and the profile of my target audience—TYPO3 integrators who know they need to keep developing their skills but often don’t know where to start. It’s this combination that makes a text “my” text, even if an AI did the typing.
A participant in my Brand Compass workshop summed it up well: “The Brand Compass has opened a new door for me toward the controlled use of AI. Even the first tests show how the texts are getting closer to my own writing style.”
“Controlled” is the key word.
What Lies Behind the Criticism
These posts don’t come out of nowhere. Anyone who’s ever read AI-generated text without any editing understands the frustration. Always the same rhythm, always the same structure, interchangeable phrasing that doesn’t sound like anyone’s voice. It happens. That’s a real problem.
But there’s something else behind some of the criticism: the fear of devaluation. If anyone can produce texts in minutes, what will become of those who’ve spent years learning how to do it? That’s a valid question. But the answer isn’t to demonize the tool.
Where the line is drawn
A carpenter who uses a CNC router isn’t a worse carpenter. He designs the piece, knows the material, decides on the quality, and bears the responsibility. The machine carries out the work. The human makes the decisions.
I make no secret of it: without guidelines, AI-generated text is often indeed interchangeable. Anyone who simply enters a topic and accepts whatever comes back gets a text without personality, without real knowledge, and without a point of view. That’s the problem many people are writing about on LinkedIn.
But this criticism doesn’t apply to everyone.
When a wealth of personal knowledge, many years of experience, and a clear voice are incorporated into the process; when the text is subsequently reviewed, revised, and approved; and when I stand behind it just as I do everything I publish—then the question of the tool becomes secondary.
No text goes out unread. That applies to everything I publish.
The effort counts
There’s another aspect missing from the discussion: time.
The article you’re reading right now was written in interview format. I was asked what bothers me about the criticism, how I got started myself, where I draw the line, and what I would say off the cuff if someone called my text “AI junk.” That took time—thinking, responding, reviewing, and approving.
Anyone who spends three hours on the prompt, revising, and fine-tuning doesn’t end up with an AI-generated result. They have their own result, which was created using AI.
The question I would ask
If someone called one of my texts “AI-generated trash,” I’d ask them: What makes you say that?
Not out of spite. But because the answer would be interesting. What exactly reveals whether a text was typed by AI or by a human? The style? The phrasing? The substance?
If the substance is missing, the criticism is valid. If it’s there, the criticism misses the mark.
AI doesn’t write the text. AI just types it.
That’s the sentence that sums up this whole discussion for me.
The idea comes from you. The knowledge comes from you. You know the target audience. The perspective is yours. You bear the responsibility.
Anyone who brings all of that to the table and uses AI as a tool is just as much an author as someone who writes in Word, speaks into a voice recorder, or jots down sentences on a notepad before writing them out neatly.
The tool doesn’t create the text. The person behind it does.
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