The Case for Letting Your AI Forget

Hello, and happy Sunday! This week we were thrilled to welcome Mike Taylor to the Every team. A longtime columnist, he joined to lead our tech consulting vertical (and write even more), and he’s starting with something we’ve heard from so many of you: What do you do after the prototype? His course Build Production-ready Apps answers that question. In a single day, you’ll go from prototype to something you can put in front of users, with a deep dive into Claude Code (and when you should use Codex instead). Scroll down to learn more about our upcoming events and trainings.—Kate Lee

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Knowledge base

“Why I Turned Off ChatGPT’s Memory” by Mike Taylor/Also True for Humans: Many people say they can’t leave ChatGPT because it “knows them so well,” but Mike Taylor keeps memory switched off. In this piece, he writes about “context rot”—the slow buildup of stale preferences, misremembered facts, and contradictory signals that quietly degrades your results over time. His real-world examples are equal parts funny and cautionary, like a Kanye quote in his custom instructions that made ChatGPT try to build every website feature “as dope as possible.” Read this for the full taxonomy of context failures and the case for treating a clean slate as a competitive advantage. 💻 Plus: Sign up now for Mike’s next live workshop, on building production-ready apps.

“This Is How the Every Editorial Team Uses AI” by Kate Lee: We pulled back the curtain on how AI is woven into every stage of our editorial process—from pitch triage to a final “top edit” to social media packaging. Each team member has built a distinct workflow: custom skills that catch house-style violations, Claude projects that function as interview partners during drafting, and agents that cross-reference a writer’s published work against internal discussions. The throughline is that AI handles the pattern-matching and grunt work so editors and writers can spend their bandwidth on craft, argument, and voice. Read this for the full set of workflows and Every’s published guidelines on writing with AI.

🎧 🖥 “Inside an AI High School, Through the Eyes of a 17-Year-Old Founder” by Rhea Purohit/AI & I: Most of the debate about AI and education comes from adults. Here, Dan Shipper talks to someone living it: Alex Mathew, a 17-year-old senior at Alpha High School in Austin, Texas, where there are no traditional teachers, academics are delivered through an AI-powered platform, and students spend half their day building real projects. Mathew shares how Generation Z actually feels about college, social media, and reading in the age of AI. 🎧 🖥 Listen on Spotify or Apple Podcasts, or watch on X or YouTube.

“How to Design Software With Weight” by Daniel Rodrigues and Lucas Fischer/Source Code: While designing the iOS app for Every’s smart dictation app Monologue, senior designer Daniel Rodrigues found himself crouched beside a light switch, pressing it on and off, studying how shadows move—all to make a fake button feel real. He and design engineer Lucas Fischer studied vintage Braun radios and Teenage Engineering synthesizers, explored 20 wrong keyboard concepts to find one right one, and hired a musician to craft custom sounds for every tap. The result: an interface deliberately built to feel like something you could pick up off a desk. Read this for the design principles that make AI-era software feel physical—and worth returning to.