This Is How the Every Editorial Team Uses AI — Kate Lee

Every published their editorial guidelines and individual team workflows for using AI in content production. Editor-in-chief Kate Lee uses Spiral for rewrite options when prose sounds like jargon, and built a custom “top-edit skill” that screens for house-style violations: vague “this/that” openers, unsourced quotes, AI tells like correlative constructions, hedging phrases, and sentence fragments.

Each team member developed distinct workflows: Claude projects functioning as interview partners during drafting, agents that cross-reference published work against internal discussions, and custom skills for pattern-matching. The throughline is that AI handles grunt work and pattern detection so editors spend bandwidth on craft, argument, and voice.

The article also previews a live workshop with staff writer Katie Parrott on writing with AI, including her use of Claude projects, custom Skills, and Spiral. Every’s published guidelines outline their mission, AI’s role, who they write for, and their commitment to editorial independence.

RDCO Mapping

Directly applicable to our Sanity Check editorial process. Lee’s “top-edit skill” pattern — automated screening for specific writing tics — is exactly what our draft-review and voice-match skills do. The insight about AI handling pattern-matching while humans focus on craft validates our skill-based approach. Worth studying their published guidelines as a model for our own content operations documentation.