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.

Become a paid subscriber to Every to unlock this piece and learn about:

1. Why Every’s staff writer Katie Parrott says AI-native writing made her more rigorous, not less
2. The specific patterns Every’s editor in chief Kate Lee catches with a custom-built skill
3. The skill editor Jack Cheng built to find the gaps between what Every CEO Dan Shipper has written and what he’s said everywhere else

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