Excellent and Generic

You can do everything right. Start with your own idea, think it through, pressure-test it, land an argument that is genuinely yours. And the writing can still come out sounding like a machine made it. Not wrong. Not clumsy. Just generic. Nobody’s.

That is the failure most people do not see coming, because it does not look like failure. It looks like a clean, competent, publishable draft.

Thinking hard about what you mean is the first half of the job, and I have written about not automating that struggle. This is the second half. Even when the idea is unmistakably yours, the prose can still belong to no one.

Excellent and generic

Here is the uncomfortable pair. A piece can be excellent and still be generic. Those are not opposites. Polish measures one thing. Whether the writing could only have come from you measures another entirely.

The trap is the top-left corner: excellent and generic. Fluent, well-organized, and completely interchangeable with what any competent person would have produced from the same prompt. The goal is the opposite corner, and getting there is not about writing better. It is about writing like someone.

Why it all sounds the same

AI prose is recognizable, but not because it reaches for a secret set of forbidden words. The tell is structural. The sweeping opener about a fast-changing world. The tidy rule of three. The false binary, this is not merely X, it is Y. The heading that just restates the thesis. The uplifting abstraction where a concrete conclusion belonged. Every tension resolved a little too cleanly.

No one of those is a crime, and human writers use all of them. The problem is accumulation. AI prose feels synthetic because every sentence performs its job too visibly. The transitions transition. The emphasis emphasizes. The conclusion concludes. Real writing has more variance. It lingers in some places and moves abruptly through others, and it trusts you to fill a gap now and then.

Voice is a pattern of decisions

The usual fix makes it worse. People hand the model a list of adjectives, clear, smart, conversational, concise, and wonder why the output sounds like everyone else who wanted to sound clear, smart, conversational, and concise.

Voice is not an aspiration. It is a pattern of decisions. What you notice first. How you build an argument. Where you place the tension and how long you hold it. Which comparisons you reach for, and which you would never make. What you refuse to exaggerate. Which sentences feel dishonest coming from you.

You cannot describe that from memory and expect a model to reproduce it. You derive it from evidence. Feed it several things you wrote yourself, from different rooms, and have it find the patterns. Then correct what it finds, because it will grab the surface first. Every correction, “I would never say that,” “cleaner, but less true,” is you making your taste explicit. That accumulated judgment is worth more than any prompt.

The one test

There is a single question that catches all of it. Could any competent person with the same prompt have written this?

If the honest answer is yes, the piece is generic however polished, and the fix is not more editing. It is to reclaim the passages that carry your judgment, the opening, the central claim, the turns, the ending, and write those in your own hand. I put the rest of it, the negative rules, the tells, the way to derive a voice from evidence, on one page.

Run the one test on something you are proud of. Take a piece AI helped you write, read it, and ask whether anyone with your prompt would have produced the same thing. Where the answer is yes, that paragraph is not yours yet. Rewrite it until it could only have come from you. That is the whole difference between using the tool and being replaced by it, and it usually lives in about four paragraphs a piece.

Cheers,
-Titus