Every 📧

when people ask me how to get their org agent-pilled i always say the same thing: the #1 leading indicator is whether their leadership team personally uses Codex, Claude Code or Cowork day to day. that’s why over the last few months we’ve been working privately with leadership teams of the top companies in tech, helping them get their hands deep into Claude Code, Cowork, Codex and more. if you want @every to come and get your exec team agent-pilled, we’re opening up a few slots: every.to/consulting

When @kieranklaassen from @every talks about AI and coding, you should probably listen. Check out our latest speaker interview and get a ticket so you don't miss his talk!

vibe check: Opus 4.7 feels like it's gotten a lot better recently. Both at coding and writing / strategy / deep thinking tasks a few people inside of @every have noticed independently. give it a shot if you haven't in the last few weeks!

Come work with us at @every We're hiring a product designer who breathes AI. Ships their ideas, and has taste and can explain it. You'll work across our entire ecosystem with a small and mighty team of humans and agents The application is a Figma file. Pick something in our ecosystem you'd change. Prototype it and walk us through it. Apply here: figma.com/design/PtmP162…

In the future, you’ll be able to accomplish a goal by just giving Claude an outcome and a budget. That’s the direction Anthropic is building in with its new Managed Agents features, announced at this week’s Code with Claude developer event. The basic idea: Claude, wrapped in a computer in the cloud, that you can spin up, scale, and manage as needed. Anthropic is taking on the infrastructure that kills most agent products, and making sure that it scales to meet the needs of agents running 24/7. On this week’s AI & I from @every, I talk with Angela Jiang (@angjiang), head of product for the Claude platform, and Katelyn Lesse (@katelyn_lesse), head of engineering for the Claude platform, about what Anthropic is building and what it takes to make agents reliable in production. We get into: - Why the "build a generic harness, hot-swap any model behind it" playbook is already outdated. Angela points to eval data on Memory where the same task across different harnesses performed drastically differently. - The infrastructure wall every team hits in production—and why Katelyn thinks “my sandbox died and took the agent with it” is the real reason internal agents don't ship. - Why Anthropic is so bullish on using file systems and skills within Claude, including Angela's argument that those early design choices can compound for years. This is a must-watch for anyone trying to take an agent past the demo and into production. Watch below! Timestamps: How the Claude platform evolved from API to agents: 00:01:48 The primitives that make up Claude Managed Agents: 00:04:09 Why the harness and the model are becoming a single unit: 00:10:37 The infrastructure wall that kills most agent projects in production: 00:18:49 Why team agents need a different shape than individual productivity tools: 00:24:49 How Anthropic's legal team uses an agent to review marketing copy: 00:26:36 Using multi-agent orchestration for advisor strategies, adversarial pairs, and swarms: 00:34:24 How to measure agent success with outcome and budget as the end state: 00:35:50 What the platform looks like a year from now, when Claude writes its own harness: 00:39:11

“Code is fashion now.” AI made code cheap to produce, remix, and replace. So if you work with agents, @heyitsnoah says the leverage is giving them better layers beneath code: Plans: separate thinking from doing Specs: define what’s in and out Architecture: explain how the system works Standards: encode how we build It's a framework that keeps humans and agents moving in the same direction.