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How Every Builds a Writing Team in the Age of AI

AI & I

Mar 18
AI & I

AI & I

Mar 18

Shownote

Kate Lee has spent her career working with words—first as a literary agent, then in roles at Medium, WeWork, and Stripe. As Every’s editor in chief, she’s been the quiet force behind the newsletter for more than three years.  Lately, something has shifted ...

Highlights

Kate Lee, Editor in Chief of Every, shares her evolution from literary agent to tech-savvy editorial leader navigating the rapid rise of AI in knowledge work.
02:53
After 10 years as a literary agent representing top-tier clients, Kate wanted to explore other opportunities
07:28
Joined Stripe Press six weeks before the pandemic and built its publishing program around 'Ideas for Progress'
22:34
Lex demonstrated that non-hardcore engineers could successfully build meaningful AI-native products
29:33
AI now handles software settings and operational overhead, eliminating previous struggles
31:01
AI browser Atlas streamlines hiring from job posting to applicant filtering
42:34
AI should be trained on internal content and used as a stand-in for another editor, not to be blindly accepted
49:54
Strunk shows strong potential for automated copyediting in the Proof markdown editor
51:45
AI models show real promise for copyediting but require better tooling and human oversight

Chapters

Introduction and Kate's early career as a literary agent
00:00
From book publishing to tech: Medium, WeWork, and Stripe Press
04:45
How Kate joined Every and what made the role click
12:00
What it's like to be a knowledge worker at the frontier of AI
27:00
The “aha” moment: using AI to manage hundreds of applicants
31:00
How Every's editorial team uses AI to enforce standards and train taste
36:24
Publishing two reviews of major model releases on the same day
45:06
What automating copy editing requires
51:39

Transcript

Kate Lee: When I was the only editor working with our writers, I really used AI as a way to try to enforce our editorial standards. What I was finding is the work just came back at a different level from each of them. We basically created a project where E...