21 August 2026

Media company trains copy-editing AI on editor's 30,000 edits

• Every, a company that reviews and builds AI products, created an AI copy-editing agent trained on 30,000 past edits from its editor-in-chief Kate Lee.
• The AI agent now applies Lee's editing style and standards across Every's writing without requiring her direct involvement in each piece.
• The project shows how companies are capturing individual expertise by training AI systems on an employee's historical work patterns and decisions.

How it was covered

PlatformerCasey Newton

Every, a media company that reviews AI models while building AI products, created an AI copy-editing agent trained on 30,000 historical edits from editor-in-chief Kate Lee to distribute her editorial expertise across the company. The effort represents how businesses are thinking about capturing individual employee expertise through AI.