This Is How the Every Editorial Team Uses AI

TL;DR: We’re hosting a live workshop on writing with AI this Friday, co-hosted by Katie Parrott, staff writer and AI editorial lead at Every, and me. Katie will introduce her full process for writing with AI, cover why writing with AI is fundamentally different from coding with AI, and demo the tools she uses daily, including Claude projects, custom Skills, and Spiral. Ahead of the workshop, we’re sharing a deeper look at Every’s philosophy of writing with AI and our team’s workflows. Register for the event.

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Today, Every is publishing our editorial guidelines. AI is woven into how we produce written and visual content for our subscribers, both as a tool to make us more efficient and as a creative partner. We want to be transparent about how that works, and we hope these guidelines can serve as a model for other AI-native publications figuring out their own approach.

The guidelines outline our mission, how AI fits into it, who we write for, and our commitment to editorial independence. But workflows are personal. Every person on our team—writer, editor, video podcast producer, social media specialist—has developed their own way of working with AI. Below, we share how.

Kate Lee, editor in chief

At Every, a draft goes through several rounds before it gets to me: a developmental edit to work out the thesis, structure, and argument, and a line edit for prose. My job is a top edit, a final pass before publication—often the first time I’m reading the piece at all. So I need to move fast and catch every single detail at once.

For subjective calls, I use Every’s writing tool Spiral. When something reads like jargon or just doesn’t sound like Every, I’ll ask for rewrite options and iterate on whichever direction I like best. My goal is always language that sounds like a specific human wrote it for a reader who’s smart but not necessarily a specialist.

For the pattern-based ones, I built a top-edit skill that screens for the patterns I catch most often: vague “this” or “that” openers without a noun to follow, unsourced quotes and data, AI tells like correlative constructions and formulaic transitions, hedging phrases, marketing speak, and sentence fragments. It’s mostly there for other editors on the team—when I’m reading a piece fresh, I catch most of this myself. If I’ve already been through a draft once, I’ll run it to make sure nothing slipped past me.

Apart from editing, I use Monologue to brain-dump an email with editorial feedback or initial notes on a research report. If I can get even a rough draft out of my head, I’m revising instead of starting from nothing.

Eleanor Warnock, managing editor

When a draft or pitch from a writer arrives, I use AI to get a first-pass judgment—a quick read on whether the piece has potential and fits what we publish. When I have a full draft, the same skill also helps me understand whether it has the fundamental building blocks to work both as a piece of writing—such as a coherent thesis—and as an Every piece.