Tools Help Writers Detect AI-Like Phrasing in Their Work

Writers are increasingly concerned that their original content may inadvertently adopt stylistic quirks and phrasing characteristic of artificial intelligence, leading to the development of tools designed to identify and correct these AI-like tendencies. This phenomenon is prevalent across various platforms, including LinkedIn posts, Substack articles, tweets, academic papers, and even published literature, as AI-generated text becomes more widespread. While platforms like LinkedIn and Substack are implementing moderation efforts to reduce AI-generated content, and AI detection tools such as Pangram and Turnitin are used by institutions to identify AI-generated submissions, the focus is shifting to writers who use no AI but worry about their own prose sounding robotic. George Strakhov, founder of the AI automation consultancy move38 and creator of the AI style linter Slop Tells, noted that AI models exhibit specific speech patterns that can be recognized. To address this, designers are creating interfaces that catalog and highlight specific phrasing, formatting styles, and words that contribute to a robotic writing sound. One such tool is the LLM cliché highlighter, developed by programmer Simon Willison and shared on X (formerly Twitter) on August 28. This tool specifically targets 38 distinct indicators of AI writing, including common rhetorical devices like "The punchline is," "Here's the twist," and "Don't take my word for it." Users can input their text into the highlighter to analyze it for these AI-associated linguistic patterns. The development of these tools reflects a growing awareness of the subtle linguistic markers that distinguish human writing from AI-generated text, aiming to preserve the authenticity and human voice in written communication. The challenge for writers is to maintain their unique style while avoiding the predictable patterns that AI models tend to produce, ensuring their work resonates with readers on a human level. The proliferation of AI writing tools has made it easier for content to be generated at scale, but it has also created a demand for tools that help humans ensure their own writing remains distinct and authentic. These new tools are designed to act as a 'smell test' for AI-like writing, empowering authors to refine their work and maintain a genuine human voice in an increasingly automated content landscape. The goal is not to eliminate AI but to provide writers with the means to ensure their own creative output is clearly distinguishable from machine-generated text, thereby safeguarding the integrity of human authorship.