Sentence Structure

El Classico, the "It's not X -- it's Y" pattern. The single most commonly identified AI writing tell. Man I f*cking hate it. The model uses this to create false profundity by framing everything as a surprise. Once can be effective; TEN in a blog post is a genuine insult to the reader.

“It's not bold. It's backwards.”

Overuse of the rule-of-three pattern, often extended to four or five. A single tricolon is elegant; three back-to-back tricolons (tri-tricolons) are a pattern recognition failure.

“Products impress people; platforms empower them. Products solve problems; platforms create worlds. Products scale linearly; platforms scale exponentially.”

A short tail hung off a comma to close a sentence instead of landing the point directly. Either a clipped clause finishing the thought sideways or sometimes it's a bare noun or short phrase tacked on as an afterthought. Increasingly common.

“above the content, and save.”

Like negative parallelism but tripled up. AI builds tension by negating two or more things before revealing the actual point. Creates a false sense of narrowing down to the truth.

“Not a bug. Not a feature. A fundamental design flaw.”

Self-posed rhetorical questions answered immediately in the next sentence or clause. The model asks a question nobody was asking, then answers it for dramatic effect. Thinks this is the epitome of great writing.

“The result? Devastating.”

Repeating the same sentence opening multiple times in quick succession.

“They assume that users will pay... They assume that developers will build... They assume that ecosystems will emerge... They assume that...”

Using "from X to Y" constructions where X and Y aren't on any real scale. In legitimate use, "from X to Y" implies a spectrum with a meaningful middle. AI uses it as a jarring way to list two loosely related things.

“From innovation to implementation to cultural transformation.”

Filler transitions that signal nothing. AI uses these phrases to introduce new points without actually connecting them to the previous argument. Also includes: "It bears mentioning", "Importantly", "Interestingly", "Notably".

“It's worth noting that this approach has limitations.”

Adding ("-ing") onto the end of a sentence to inject shallow analysis that says nothing. The model attaches significance, legacy, or broader meaning to mundane facts using phrases like "highlighting its importance", "reflecting broader trends", or "contributing to the development of...".

“contributing to the region's rich cultural heritage”