# Simon Willison 发布了 LLM cliché highlighter 工具，可检测并高亮 LLM 输出中的常见陈词滥调模式

- 来源：Simon Willison
- 发布时间：2026-07-17 20:11
- AIWatch 分数：54
- AIWatch 标记：未精选
- AIWatch 链接：https://aiwatch.icu/events/evt_01kxzgnj8vt4p0fh7s8fq21ag9
- 原文链接：https://simonwillison.net/2026/Jul/17/llm-cliche-highlighter/#atom-everything

## 精选理由

常规快讯，保留列表

## AI 摘要

Simon Willison 发布了 LLM cliché highlighter 工具，可检测并高亮 LLM 输出中的常见陈词滥调模式。

## 正文

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.

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 "Sh