StylePreserve targeted AI editor

Let LLMs edit your draft while keeping your voice intact

Problem

People who write daily with LLMs face two issues: models rewrite large chunks, making it hard to review mistakes line by line, and the output no longer sounds like them. The maker of Deepreed built it to solve exactly this with constrained, targeted edits.

Solution

The product centers on targeted editing: users select a passage, the AI makes minimal edits on top of the original text, and changes are highlighted. Users can also provide past writing samples to extract a personal style profile so every edit preserves their tone.

Users

Knowledge workers, content creators, and marketers who write emails, blogs, and reports daily and frequently use LLMs for polishing.

MVP

Upload samples to extract a style profile; select text for targeted edits with highlighted diffs; accept/reject individual changes; export with annotations to Word or Markdown

Revenue

Free tier with a monthly edit word limit; subscription for unlimited edits, multiple style profiles, and team sharing; API usage-based pricing.

Why now

LLM writing tools are mainstream, but 'editing like the author' remains underserved—most products prioritize generation over preservation. A solo developer can validate quickly with existing LLM APIs plus a diff and style-constraint layer.