A Strict Rule for Writing with LLMs Without Losing Authentic Voice
Thomas Ptacek and Simon Willison advocate for a strict rule when writing with LLMs: use the models solely for copyediting and proofreading, but never use the exact phrasing suggested by the model. As AI-generated text becomes ubiquitous, maintaining an authentic human voice and intellectual discipline is increasingly critical for writers. This approach allows creators to benefit from AI feedback and proofreading without letting generic AI phrasing dilute their personal tone. Under this framework, LLMs are limited to tasks like spellchecking, grammar review, fact-checking, and serving as a thesaurus. Ptacek also shared a custom prompt and screenshot of his personal LLM copyediting tool to help others construct a similar workflow.
## BACKGROUND
Large Language Models (LLMs) excel at generating fluent prose, but their responses frequently exhibit recognizable stylistic quirks and generic phrasing. While many developers and writers use AI to speed up content creation, over-reliance on raw model output can erode unique authorial identity.