Anthropic co-founder Ben Mann on why he chose Montessori for his daughter: "If this were 10-20 years ago, I'd be lining her up for top-tier schools and extracurriculars. But now I don't think any of it's going to matter. Learning facts is going to fade into the background. What matters is that she's happy, thoughtful, curious, and kind."

This took me 10 months to write, so it means a lot for Lenny to introduce today's newsletter as a post that "will change how many of you operate at work." (We made this one free so anyone can access it)

"11 months ago I wasn’t using AI at work—at all. My team and I were building AI products used by tens of thousands of people. But when it came to using AI in my own job, I was a proud Luddite. I didn’t want to sound like 'the average of the internet.' I was worried that if I let AI tools do things for me, I’d lose my edge. When I tried using ChatGPT, I found it disappointing for strategic and innovative work—like consulting a chatty Wikipedia. Deep down, I felt discouraged that I didn’t know the exact magic spells of prompting that only influencers seemed to know. Then my eng manager showed me how to write perfect user stories by just talking to ChatGPT with context. I realized that AI tools had felt like blunt, generic instruments because I wasn’t providing enough context. LLMs can be highly effective for intelligent knowledge work, but only when we provide them with the same background knowledge that any person would need to do the same work. When LLMs have this valuable and ongoing context about our goals, our strategy, our role, our projects, and our wider org, they become our 'AI copilot'—a real thinking partner for long-term, complex work. Regardless of company size, vertical, or fluency in AI, many tech workers today are missing out for the same reason I was. They’re not giving LLMs the context needed to experience their full potential. Context changes everything." @talraviv has taught over 20,000 people how to build their own AI copilot. In today's 🔥 post, Tal shares how to change the way you think about working with AI, and how to practically construct your own AI copilot:

Crossed 400,000 YouTube subscribers 💥🙏

It's the question everyone is asking... How do you future-proof yourself in the AI age? "Being ambitious in how you use the tools and being willing to learn new tools. People who use the new tools as if they were old tools tend to not succeed." - @8enmann, Anthropic co-founder He explains on the @lennysan podcast

Work at a big company and trying to figure out how to vibe code in the real world? This episode is for you. Learn: 1. A systematic approach to using AI agents like @DevinAI and @Cursor_AI to produce high-quality code in your large codebase 2. How to get AI agents to systematically tackle your tech debt 3. How to create a centralized rules system that works across multiple AI tools 4. Why “what’s good for humans is also good for LLMs” should guide your documentation strategy 5. How to build a custom GPT workflow to improve your interview feedback and get coached

Work at a big company and trying to figure out how to vibe code in the real world? This episode is for you. Learn: 1. A systematic approach to using AI agents like @DevinAI and @Cursor_AI to analyze and reduce test noise in large codebases 2. How to get AI agents to systematically tackle your tech debt 3. How to create a centralized rules system that works across multiple AI tools 4. Why “what’s good for humans is also good for LLMs” should guide your documentation strategy 5. How to build a custom GPT workflow to improve your interview feedback and get coached

OpenAI's entire safety team left to start @AnthropicAI 5 years ago. Here's @8enmann sharing what they say that convinced them they needed to leave.

Seems like @8enmann’s message is resonating

Anthropic co-founder: "Even for me, I'm not immune to job replacement either. At some, point it's coming for all of us."