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Plus: Turn your AI corrections into tests, where the hours saved by AI agents actually go, and a CEO's surprise job-interview question
New ways to organize work, old questions about the meaning of art, and difficult choices about what comes next
Plus: Every automates our memes, an Emmy-winning TV writer’s AI writers’ room, and what Anthropic’s buy of a one-person biotech means
Plus: Why we’re skipping GPT-6.1 Terra for Gemini 4 Argon, and a prompt that keeps track of what you owe people
Plus: The shoggoth strategy for generalists, moving your website off Webflow with Claude, and what the Every team couldn't stop talking about.
Plus: Why Plus One gave way to a shared agent, our frontier team’s latest experiments, and Mike Taylor's new book on DSPy
Plus: A coding skill for non-coders, using AI to address a cybersecurity incident, what happens after engineering
Plus: Our Gemini 4 Argon Vibe Check, why technical founders win when startups pivot, and seven new Thesis Statements
Plus: Agents keep tabs on a cattle genetics startup, an AI onboarding buddy, and seven predictions about the future of work
Plus: Why we built the Every Agent on Claude Managed Agents, how we cut its costs, and when more instructions make AI worse
Plus: Why Every traded personal agents for a shared company agent, the models the team is reaching for this week, and a fresh batch of Thesis Statements
Plus: Sam Altman on ‘The Every Podcast,’ Sonnet 5.5 finds its job, and a guide to open models
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Plus: Where we stand on Grok 4.7, a workflow for going viral on social media, and why every company needs a Slack agent
Why the classification model is blowing up your timeline, how to turn subjective questions into Jev checks, and the dawn of intent-based software
Plus: A creative studio puts Astra to work on visual effects, 13 beliefs about writing with AI, and a Vibe Check of a new kind of model
When expensive experimentation is worth it and when to rein in your tokenmaxxing
Plus: 13 beliefs about writing with AI, and an antivirus for the AI age
Plus: Mike's vibe check of a model that answers in probabilities; the computer chores our agents do for us now; and a workflow for making a solid deck with AI
Maggie Appleton and Kevin Roose on AI, personal benchmarks, and the Navier–Stokes proof