Why Your Writing Reads Like AI (And the System to Fix It)

Your open rate is sliding and you can’t figure out why.

The headlines test fine and the topics are solid. Your old posts used to land. Lately the replies are thinner, the shares are gone, and the people who used to email you back are quiet.

Here’s what changed. You started using AI to draft. And your writing started leaking the same fingerprints every other AI-drafted newsletter or X post is leaking right now.

I’m not anti-AI.

I draft with it every week.

The point is to use it as a thinking partner, then strip every detectable trace of it out before you hit publish.

Most of you are doing the first part and skipping the second. Your readers feel it even if they can’t name it.

And it’s eroding trust and credibility.

A 2024 survey by the Reuters Institute for the Study of Journalism found that 52% of respondents feel "uncomfortable" with news produced mostly by AI, citing a lack of transparency and "human touch" as primary drivers for unsubscribing from newsletters

Today I’ll walk you through the obvious tells your audience is likely already picking up on. And I’ve got a skill I’ll hand you to fix them. It’s the same system I run every article through before I ship it, including the one you’re reading right now.

Why Your Brain Goes Numb on AI Writing

Here’s the mechanical reason why AI writing sucks:

A language model writes by picking the most statistically likely next word, over and over, all the way through a sentence. That’s the whole architecture, output is whatever sequence the training data says is most predictable.

Your brain does the same thing when it reads. It predicts the next word a fraction of a second before your eyes get there. When the prediction lands, you process the word with almost no effort. When the prediction misses, your brain has to wake up and actually engage.

AI text lands exactly where your brain predicted it would. Every time. Reading it becomes a skim-coma where you scroll past entire paragraphs without retaining anything because nothing required you to engage.

Your audience is doing this right now with your last six articles. They scroll through without remembering anything because their brains finished each sentence before their eyes got to the period.

High-friction writing breaks the prediction. Every sentence has a turn the reader didn’t see coming. That turn is the only thing keeping the brain awake long enough to remember a single word you wrote.

Now let’s get into what your readers are actually clocking.

The Same-Length Sentence Problem

Read your last article out loud. Listen to the rhythm.

If you can tap a steady beat the whole way through, the article is a metronome. Every sentence comes in at fifteen to twenty words with the same breath, cadence, and shape.

Humans don’t write like that. We sprawl, then we stop short, then we pile on a clause and drop a fragment on the back end.

Three words.

Then sixty.

AI averages every sentence toward the same length because the training data averages out that way on aggregate. Detection tools call this low burstiness. It’s the single strongest statistical tell of AI-written prose, and your readers feel it before they ever consciously notice the pattern.

The Triplet Trap

Count the lists in your last three articles.

Patience, dedication, and resilience. Build, ship, iterate. Plan, execute, repeat. Strategy, mindset, and action. Every list comes in threes because the model thinks three is the magic number.

Two feels incomplete to the model.

Four feels heavy.

Three sits dead center in the comfort zone of the training data, so the model defaults there every time it has to enumerate anything. Your articles end up with triplets stacked across paragraphs like a poker hand.

Once you see this, you can’t unsee it.

The “Not X, It’s Y” Tic

This one is the worst offender. It’s also the easiest one to catch.

“Success isn’t about working hard. It’s about working smart.”

“The question isn’t whether AI will replace us. It’s whether we’ll let it.”

EVERY AI-drafted article on the internet is built on some version of this construction. The model loves it because it sounds profound for free. Editors and trained readers spot it from a mile off. If your article has two of these in the first 300 words, your audience already knows what they’re reading.

Zombie Words

These are the words that signal “professional writing” inside the model’s training data while saying nothing.

Delve. Leverage. Foster. Harness. Tapestry. Landscape. Navigate. Robust. Seamless. Showcase. Underscore. Profound.

You don’t say any of these words at the kitchen table. You probably don’t say them in a Zoom meeting. So why are they in your newsletter? Because the model put them there and you didn’t pull them out.

The Reddit thread on AI writing has a running joke now. Spot the “delve” and you’ve spotted the bot. Your audience is in those threads. They know.

The Floating Concepts

AI floats. It writes about success, freedom, growth, resilience, and transformation, and never once names the cold coffee on your desk at midnight, the Slack message from the client that wrecked your Tuesday, or the Excel formula that broke at 4:17 AM and cost you three hours of sleep.

Floating concepts read like writing. They’re scaffolding wearing writing’s clothes. Real writing has objects, names, dates, and the texture of one specific moment your reader can see in their head. If your last article didn’t have a single proper noun in it, you wrote scaffolding.

The Hedge Habit

Watch how every strong claim gets softened in the next sentence.

“Many experts believe...” “Some have argued...” “A growing number of creators...” “Studies suggest...”

This is the model trying not to offend anyone, because its safety training penalizes confident statements. Your readers came to you for an opinion. When you hedge every claim, you sound like a Wikipedia article that got asked to host a podcast.

Name names, cite real numbers, or own the claim yourself. “I think this” beats “some have argued this” every single time.

The “Nobody Tells You” Setup

These are the contrarian hooks AI loves because they sound like insider knowledge.

“Here’s what nobody tells you about consistency.”

“The thing everybody gets wrong about audience building.”

Both of these promise forbidden knowledge and then deliver something the reader has already seen fifteen times this month. The opening sounds bold. The next paragraph collapses into generic advice. The model has no insider position to speak from, so it borrows the rhetorical move and fills the rest with whatever sat highest in the training data.

If you find one of these in your draft, either replace it with a specific claim you can defend by name and number, or cut it.

The Em Dash Problem

Em dashes are the AI safety net. The model uses them to hedge a claim inside a single sentence without ever committing to a period.

Watch the pattern. “The key to productivity—something most people overlook—is that motivation follows action.”

Two dashes in one line, both used to qualify the claim instead of stand behind it.

Here’s the wrinkle on this tell. Em dashes are a real punctuation mark and some writers use them well as part of their actual voice. If that’s you, you’ll have to tune the skill yourself so it allows them in your work without flagging. The default skill bans them outright because the statistical signal is now too strong on the reader side. Most subscribers in 2026 read an em dash and assume Claude wrote it, regardless of who actually typed the sentence. That’s the cost of using a punctuation mark the model also loves.

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The rest of this article is a skill that you copy and paste.

That is the whole product. There is no course you have to sit through. There is no PDF workbook with stock photos of a guy in a blazer pointing at a chart. The deliverable is a block of text. You copy it, you paste it, and you are done forever.

You drop the block into Claude, type “make me a skill from this,” and Claude does the Claude thing. From that moment on, every draft you feed it gets sandblasted clean of the obvious AI fingerprints before your fingers ever hover over publish.

I have been running this prompt against my own newsletter and my own audience for the past year, on articles I actually cared about. It works. The work is finished. The prompt is sitting in a code block six inches below this paragraph for less than what a Tuesday morning oat milk latte costs.

So if you are using AI to draft and you are STILL reading this without upgrading, take a quiet moment and look at the choice you are actively making with your own two hands. The cure is one click away and costs less than a coffee you will forget you drank by Wednesday. It is hiding behind a wall that exists only because you have not yet pressed a button.

You are choosing to keep publishing slop under your own name. You are choosing it on purpose. While the antidote sits one paragraph below this sentence, glowing like a quest item in a video game.

Press the button.