--- schema: 1 type: video title: How Every Edits in the Age of AI description: >- 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 in Kate’s work. After years of watching her colleague Dan Shipper evangelize AI from the front lines, Katie has started rewiring how she works and is integrating more and more AI tools in her work. We had Kate on to talk about her career path from book deals to tech startups, what it really means to run a newsletter as a small team in the age of AI, and what she thinks the bottleneck to automating copyediting is. Plus: the story of pulling off reviews of two major model releases in 24 hours, and how she’s using her AI-powered browser to help her hire. To hear more from Dan Shipper: Subscribe to Every: https://every.to/subscribe Follow him on X: https://twitter.com/danshipper Timestamps 0:00 – Introduction and Kate's early career as a literary agent 4:45 – From book publishing to tech: Medium, WeWork, and Stripe Press 12:00 – How Kate joined Every and what made the role click 27:00 – What it's like to be a knowledge worker at the frontier of AI 31:00 – The “aha” moment: using AI to manage hundreds of applicants 36:24 – How Every's editorial team uses AI to enforce standards and train taste 45:06 – Publishing two reviews of major model releases on the same day 51:39 – What automating copy editing requires Links to resources mentioned in the episode: Proof: https://www.proofeditor.ai/ canonical: >- https://liquidgold.cc/channel/everyinc/explore/video/how-every-edits-in-the-age-of-ai-5b917a7c161c markdown: >- https://liquidgold.cc/channel/everyinc/video/how-every-edits-in-the-age-of-ai-5b917a7c161c.md llms: null parent: 'https://liquidgold.cc/channel/everyinc.md' channel: everyinc updated: '2026-10-24T01:03:59.907Z' language: null children: [] videoId: Uif_qAcgnLk durationSeconds: 3394 publishedAt: '2026-03-18T16:19:54.000Z' searchChunks: - ordinal: 0 text: null startSeconds: 2199 endSeconds: 2290 watch: 'https://liquidgold.cc/watch/Uif_qAcgnLk?t=2199' heldReason: rights - ordinal: 1 text: null startSeconds: 2199 endSeconds: 2290 watch: 'https://liquidgold.cc/watch/Uif_qAcgnLk?t=2199' heldReason: rights - ordinal: 2 text: null startSeconds: 2290 endSeconds: 2300 watch: 'https://liquidgold.cc/watch/Uif_qAcgnLk?t=2290' heldReason: rights - ordinal: 3 text: null startSeconds: 2544 endSeconds: 2632 watch: 'https://liquidgold.cc/watch/Uif_qAcgnLk?t=2544' heldReason: rights - ordinal: 4 text: null startSeconds: 2632 endSeconds: 2643 watch: 'https://liquidgold.cc/watch/Uif_qAcgnLk?t=2632' heldReason: rights - ordinal: 5 text: null startSeconds: 2406 endSeconds: 2419 watch: 'https://liquidgold.cc/watch/Uif_qAcgnLk?t=2406' heldReason: rights - ordinal: 6 text: null startSeconds: 2419 endSeconds: 2533 watch: 'https://liquidgold.cc/watch/Uif_qAcgnLk?t=2419' heldReason: rights - ordinal: 7 text: null startSeconds: 1641 endSeconds: 1872 watch: 'https://liquidgold.cc/watch/Uif_qAcgnLk?t=1641' heldReason: rights - ordinal: 8 text: null startSeconds: 1884 endSeconds: 1963 watch: 'https://liquidgold.cc/watch/Uif_qAcgnLk?t=1884' heldReason: rights - ordinal: 9 text: null startSeconds: 1973 endSeconds: 2053 watch: 'https://liquidgold.cc/watch/Uif_qAcgnLk?t=1973' heldReason: rights - ordinal: 10 text: null startSeconds: 2953 endSeconds: 3039 watch: 'https://liquidgold.cc/watch/Uif_qAcgnLk?t=2953' heldReason: rights - ordinal: 11 text: null startSeconds: 2718 endSeconds: 2812 watch: 'https://liquidgold.cc/watch/Uif_qAcgnLk?t=2718' heldReason: rights - ordinal: 12 text: null startSeconds: 3106 endSeconds: 3116 watch: 'https://liquidgold.cc/watch/Uif_qAcgnLk?t=3106' heldReason: rights - ordinal: 13 text: null startSeconds: 2823 endSeconds: 2942 watch: 'https://liquidgold.cc/watch/Uif_qAcgnLk?t=2823' heldReason: rights - ordinal: 14 text: null startSeconds: 736 endSeconds: 856 watch: 'https://liquidgold.cc/watch/Uif_qAcgnLk?t=736' heldReason: rights - ordinal: 15 text: null startSeconds: 1067 endSeconds: 1078 watch: 'https://liquidgold.cc/watch/Uif_qAcgnLk?t=1067' heldReason: rights - ordinal: 16 text: null startSeconds: 1309 endSeconds: 1418 watch: 'https://liquidgold.cc/watch/Uif_qAcgnLk?t=1309' heldReason: rights - ordinal: 17 text: null startSeconds: 1537 endSeconds: 1548 watch: 'https://liquidgold.cc/watch/Uif_qAcgnLk?t=1537' heldReason: rights - ordinal: 18 text: null startSeconds: 530 endSeconds: 626 watch: 'https://liquidgold.cc/watch/Uif_qAcgnLk?t=530' heldReason: rights - ordinal: 19 text: null startSeconds: 11 endSeconds: 294 watch: 'https://liquidgold.cc/watch/Uif_qAcgnLk?t=11' heldReason: rights --- # How Every Edits in the Age of AI 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 in Kate’s work. After years of watching her colleague Dan Shipper evangelize AI from the front lines, Katie has started rewiring how she works and is integrating more and more AI tools in her work. We had Kate on to talk about her career path from book deals to tech startups, what it really means to run a newsletter as a small team in the age of AI, and what she thinks the bottleneck to automating copyediting is. Plus: the story of pulling off reviews of two major model releases in 24 hours, and how she’s using her AI-powered browser to help her hire. To hear more from Dan Shipper: Subscribe to Every: https://every.to/subscribe Follow him on X: https://twitter.com/danshipper Timestamps 0:00 – Introduction and Kate's early career as a literary agent 4:45 – From book publishing to tech: Medium, WeWork, and Stripe Press 12:00 – How Kate joined Every and what made the role click 27:00 – What it's like to be a knowledge worker at the frontier of AI 31:00 – The “aha” moment: using AI to manage hundreds of applicants 36:24 – How Every's editorial team uses AI to enforce standards and train taste 45:06 – Publishing two reviews of major model releases on the same day 51:39 – What automating copy editing requires Links to resources mentioned in the episode: Proof: https://www.proofeditor.ai/ Canonical: https://liquidgold.cc/channel/everyinc/explore/video/how-every-edits-in-the-age-of-ai-5b917a7c161c · Channel: [Every](https://liquidgold.cc/channel/everyinc.md) > Search chunk text is held until public-source provenance is verified. ## Document chunks > Missing: no stored document chunks are available.