What problem does it solve? AI-generated and AI-assisted prose carries recognizable stylistic tells — grandiose verbs, symmetric contrasts, rhythmic triplets, bold-lead bullet scaffolding — that undermine credibility with readers. Manually hunting these patterns across a long document is slow and easy to get wrong. ## Core Features & Use Cases - Full-passage rewriting: Re-expresses prose from scratch in the author's voice rather than patching tells one by one, since the structural scaffolding is often the loudest tell. - Substance preservation: Guarantees every claim, citation, qualification, normative word (MUST/SHOULD/MAY), and logical relationship survives the rewrite, with a mandatory sentence-by-sentence verification pass. - Cataloged tell detection: Targets word-level tells ("leverage", "delve", "seamless"), sentence-mechanics tells (em-dash chains, nested appositives), and structural tells (artificial parallel sections, empty summary sentences). - Use Case: You drafted a design document with an AI assistant and it reads like generic LLM output. Paste the text and receive a rewritten version in your voice plus a short change list of the largest stylistic edits. ## Quick Start Paste your AI-drafted prose and ask the agent to rewrite it to remove LLM stylistic tells without changing any of its substance.