Katie Parrott

I spoke to Anthropic’s AI agent Claude about AI collecting massive amounts of personal data and how that information is being used to violate our privacy rights. What an AI agent says about the dangers of AI is shocking and should wake us up.

I've been waxing rhapsodic about the value of an AI writing style guide for long enough that it felt rude not to write up a guide on how to make one. So we did. Now on @every every.to/guides/how-to-…

Claude .md ? he’s a doctor too?

What

I want to identify with this, but truth be told my essays were all written at least a week in advance because DEADLINES. ARE IN. THE. SYLLABUS.

I can think of few people who sit so squarely at the intersection of tech and words than Every’s editor in chief, Kate Lee (@katelaurielee). She has honed her editorial sense in both the publishing and tech worlds—first as a literary agent, then with roles at Medium, WeWork, and Stripe Press. She has strong views on language and the highest bar for quality in written work. So I know that if she is adopting an AI tool, it’s the real deal. Kate’s approval is also a signal that something will be widely used by editorial teams in the future. She’s the canary in the coal mine. I had her @every’s AI & I podcast to talk about how she is building an AI-native editorial team. We discussed: - How she went from literary agent to tech, and why she thinks the skills transfer more than people expect - What it looks like to run a small editorial team in the AI era - Why automating copy editing is harder than it sounds - What she uses Claude for beyond the editing process This is a must-watch for editors, media operators, and anyone curious about what AI adoption looks like for a thoughtful knowledge worker. Watch below! Timestamps Introduction and Kate's early career as a literary agent: 00:01:00 From book publishing to tech—Medium, WeWork, and Stripe Press: 00:04:45 How Kate joined Every and what made the role click: 00:12:00 What it's like to be a knowledge worker at the frontier of AI: 00:27:00 The ‘aha’ moment: using AI to manage hundreds of applicants: 00:31:00 How Every's editorial team uses AI to enforce standards and train taste: 00:36:24 Publishing two reviews of major model releases on the same day: 00:45:06 What automating copy editing requires: 00:51:39

the anti ai people are nuts the pro ai people are nuts luckily im right in the sweet spot

this week's column is for all my taste bros out there

TIL I’m nonbinary

Look at our billionaires, building back trust in meritocracy

Getting the result you want out of your agent is a matter of context

Been going back and forth with Claude about an idea for my Substack, and gosh darn it if the thought traces aren't showing off the value of a well-placed, well-structured style guide 👀

@anukshi13 Same, it's like "girl, I literally cannot afford to be talking to you this much...but can I just say one more thing?"

I fear I enjoy talking to agents a bit too much.

It never gets old

@siliconmania_ @every spotted

@danshipper The people want to see the artwork, Dan.

omg proof at 1:00 mark

My need to talk about Peter Thiel and the apocalypse and related topics is such that I am dangerously close to starting a YouTube channel.

somehow the same AIs that can do PhD-level math and superhuman coding can only write as well as “a real poet’s okay poem” (sama’s words, not mine!) I talked to the people training AIs to write about what makes it so hard: new from me for @TheAtlantic: theatlantic.com/technology/202…

Full article: every.to/p/i-hired-an-a…

Run, don't walk, to read @jackcheng's latest on maintenance and AI for @every This piece has everything - Stewart Brand, Wall-E, and just a dash of class consciousness 🤌