Tool LLM cliché highlighter — Detect and highlight common clichéd phrases in text that frequently appear in language model outputs. Paste text into the analyzer to identify patterns like "no X, no Y" chains, "sit with that," "you already know," and other LLM-generated expressions, with toggleable pattern detection and context-aware sentence highlighting. The tool includes pattern counts, match listings with quick navigation, and runs entirely in your browser with localStorage support for persistence.

I got frustrated reading yet another article that was crammed with the clichés of LLM-generated writing - "no fluff, no filler, no jargon" type stuff - so I had Fable 5 vibe code up this app for highlighting ten common patterns that show up in that sort of writing.

Screenshot of a text-analysis web tool. Top summary row: "2 matches", "1 flagged sentence", "0 chain items". Below, a collapsed "▶ Patterns · all 11 on" panel, then a URL input reading "https://example.com/article — fetched via r.jina.ai" with a "Load URL" button. A text area contains "That loss is real and it's worth naming". Below are "Load example" and "Clear" buttons and a checked checkbox "Show just the highlights". A "Highlighted text" section shows "That loss is real and it's worth naming" with "That loss" in pale yellow (flagged sentence) and "is real and" plus "'s worth naming" in darker yellow (pattern match). Legend: "flagged sentence", "pattern match", "3 chain item count". "Matches" section: 1. "is real and" — "Is real … and / not"; 2. "'s worth naming" — "Worth naming".