1. Stock Language
AI models are trained on vast amounts of internet data, which means they gravitate toward the “average” of dramatic writing. This results in what we call Stock Language.
It’s the textual equivalent of a stock photo: technically correct but painfully generic. Watch out for over-the-top metaphors and dramatic scales for mundane events.
- “The kiss that broke the timeline.”
- “Unleashed a backlash in corporate memory.”
- “Woven into the fabric of space.”
If a review for a coffee machine reads like the opening narration of a Christopher Nolan movie, you are likely reading code, not consciousness.
2. The “Not X, But Y” Structure (Reversal Structures)
This is perhaps the single most common “tell” in AI writing today. Humans rarely state what something is not unless someone specifically asked. AI, however, loves to set up a straw man just to knock it down.
The Pattern: “It didn’t just [do X]; it [did Y].”
- AI Example: “This app doesn’t just organize your files; it transforms your entire workflow.”
- AI Example: “She didn’t just walk; she glided.”
If you see a sentence that negates a premise nobody suggested, you are looking at a Reversal Structure. It’s an algorithmic attempt to sound insightful without actually adding depth.
3. The Minimalist Triplet
Algorithms love rhythm, specifically the “Rule of Three.” While human writers use lists, AI uses them obsessively to create a false sense of cadence.
Look for three short, punchy adjectives or verbs separated by commas or periods.
- “Silent. Efficient. Built to last.”
- “No fuel, no emissions, just light.”
- “It bends, pulses, and repairs.”
This triplet phrasing is a hallmark of “modular” writing—it sounds catchy, but it’s a cheap trick to mimic human eloquence.
4. Modular Sentences (The Puzzle Pieces)
Human writing flows. One thought bleeds into the next, connected by logic and nuance. AI writing, however, often suffers from Modular Sentence Syndrome.
Imagine a paragraph as a deck of cards. In a human-written text, the order matters. In AI text, you can often shuffle the sentences around, and the paragraph still makes sense. Why? Because the AI lacks a true narrative thread (the “Golden Thread”). It is simply stacking relevant facts next to each other like bricks.
The Test: Read a paragraph and try swapping the second and fourth sentences. If the meaning doesn’t change at all, it’s likely modular AI generation.
5. The “Narrative Hook” Overkill
AI has learned that humans click on clickbait. As a result, it overuses the “Hook, Twist, and Reflection” structure, even in inappropriate places like academic abstracts or history articles.
It starts with a dramatic observation (“She smiled like it was all hers”), moves to a twist (“But no one expected what happened next”), and ends with a capitalized dramatic concept (“That’s when the Corporate Backlash began”).
Real life is rarely structured like a 30-second TikTok script. If the text tries too hard to keep you on the edge of your seat for a mundane topic, be suspicious.
6. Capitalizing the Dramatic
To an AI, capitalization is a highlighter pen. You will often see abstract concepts capitalized to give them weight.
- “The Witness”
- “The Edge of the World”
- “The Cheating Couple”
This is a subtle attempt to turn a regular noun into a “Named Entity” or an event, adding artificial weight to the story.
The Bottom Line
We are living in an era of synthetic media. Whether you are a professor grading papers, a recruiter reading cover letters, or just scrolling through social media, these patterns are everywhere.
The goal isn’t to demonize AI, as it’s a powerful helping tool. The goal is to recognize authenticity. When you strip away the stock language, the reversal structures, and the modular triplets, you are left with the one thing AI cannot replicate: a unique human perspective.
