AI and I

• How Nat Eliason Made $200,000 in a Week Teaching AI - Ep. 48

  Nat Eliason’s career arc is borderline absurd—but it works. In the last five years, he ran an SEO agency, got into crypto, made $600,000 from a course on the note-taking toolRoam Research, flipped real estate in Austin for a 6x return, and published abook with Random House. He’s now writing a book of science fiction and running a viralcourse about building apps with AI.I’ve known Nat for a long time, and I think he knows where the puck is headed better than anyone. He’ll see a new tool or trend, master it, build a business around it, and move on. Nat’s pulled it off with crypto, Roam, real estate—and now AI. His app-building course has over 800 students and racked up $200,000 in pre-sales in one week.Nat was one of the first guests I had on the podcast and I was delighted to have him on again. We spent an hour talking about how coding with AI is creating new behaviors in programming, Nat’s best practices for using the coding tool Cursor, and his take on the future of writing with AI. This episode is a must-watch for writers, creators, and anyone interested in the future of product building.If you found this episode interesting, please like, subscribe, comment, and share! Want even more?Sign up for Every to unlock our ultimate guide to prompting ChatGPT here:https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free.To hear more from Dan Shipper:Subscribe to Every:https://every.to/subscribe Follow him on X:https://twitter.com/danshipper Timestamps:Introduction: 00:01:45The origins of Nat’s viral course on building apps with AI: 00:10:15How coding with AI has evolved over the last two years: 00:17:16Nat creates an app using Composer, Cursor’s AI assistant: 00:20:52Tactical tips for coding with Cursor: 00:24:36How coding with AI is creating new behaviors in programming: 00:27:36What excites Nat the most about the future of AI: 00:31:11A demo of Hubbard, the AI editor Nat built for his science fiction writing: 00:37:28When does it make sense to build custom software: 00:43:22Nat’s take on the future of writing with AI: 00:47:48Links to resources mentioned in the episode:  Nat Eliason: @nateliasonNat’s viral course about building apps with AI:Build Your Own Apps with AIThe book Nat published about crypto:Crypto Confidential: Winning and Losing Millions in the New Frontier of Finance  Dan’s piece about how AI empowers creators:AI and the Age of the Individual 

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• Vercel’s Guillermo Rauch on What Comes After Coding - Ep. 47

  Guillermo Rauch is one of the most prolific coders of this generation.  But he doesn’t think of himself as a coder anymore.  Coding, he says, is a specific skill that AI is becoming great at. Instead, he thinks the future of coding is more holistic, full-stack engineers who can ideate, design, and execute all together.  Guillermo is the founder and CEO of Vercel, the creator of NextJS, and SocketIO. We spent an hour talking about the future of software development in an AI world—and the meta-skills that are essential for the coders of today to master—in order to use tomorrow’s tools to their fullest extent. Here are a few takeaways: One of the most important keys to his success is taste—and developing taste is all about paying better attention to everything you experience day to day. He’s great at recognizing bleeding-edge technologies with extremely practical applications but that have bad user experiences. If you can learn to recognize those and build with them, you might build the next NextJs or SocketIO. He’s already seeing enterprises use Vercel’s AI coding copilot v0 to replace all of their programming—they just send v0 demos back and forth to iterate on new prototypes.  Why prototype cultures are becoming common in AI—and the benefits of written cultures like Amazon vs. prototype cultures like Apple for different kinds of companies. For developers building frameworks, always put the product first; a framework in isolation without a “customer zero” is never going to be a good tool. The theory of “recursive founder mode”—if you want to build a scalable business, you have to scale yourself by creating an atmosphere that nurtures talent and ambition. AI tools are shifting software toward consumption-based billing models, making us capital allocators who decide how much compute the AI consumes. The future of AI is agents with the taste, knowledge, and tools to perform specialized tasks. If you found this episode interesting, please like, subscribe, comment, and share!  Want even more? Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free. To hear more from Dan Shipper: Subscribe to Every: https://every.to/subscribe  Follow him on X: https://twitter.com/danshipper  Timestamps: Introduction: 00:01:33 How to spot trends early: 00:03:18 Why you should be your own customer: 00:07:34 How to create an ecosystem of talent and ambition: 00:14:55  Why Guillermo doesn't identify as a coder: 00:17:29 AI is gearing us toward an allocation economy: 00:20:50 How Vercel’s copilot compares with other coding agents: 00:28:34 Guillermo’s advice on having better taste: 00:40:35 The future of AI agents is specialized: 00:42:46 How AI startups can compete with big tech: 00:47:50 Links to resources mentioned in the episode:   Guillermo Rauch: @rauchg Vercel: https://vercel.com/  Our episode with Nabeel Hyatt: "🎧 The Venture Capitalist Who Finds the Best AI Products—Before They Win"  Dan’s essay about the allocation economy: "The Knowledge Economy Is Over. Welcome to the Allocation Economy." 

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• How to Prepare for AGI According to Reid Hoffman - Ep. 46

  AGI is coming. Reid Hoffman just wrote the book on how to prepare. According to Reid, every major tech breakthrough (the written word, the printing press, the telephone) triggered mass fear. But, contrary to our worries, new technology tends to enhance human agency—even more so, if you know how to use it well. Reid is the cofounder of LinkedIn, Inflection AI, and Manas AI; a partner at venture capital firm Greylock Partners; an early backer and board member of OpenAI; and an award-winning podcaster We spent an hour talking about how to develop a compass for navigating AGI. Here are a few takeaways: Our sense of human agency is not just about external control but an internal stance—how we approach uncertainty & new tech is crucial In new technology waves, NO blueprint or plan will have the right answers. Instead, adapting to new technology requires broad access, an experimental mindset, and flexibility In an AGI world most jobs will transform, not disappear—and how you can prepare with hands-on trial and error How certain social norms and ethics should change as AGI changes the landscape—like individual access to personal data  Why now may be finally be the era where quantified self tools become valuable …and more, including everything in his new book Superagency, out this week.  It was a pleasure to have him on the show for a second time. This is a must-watch for anyone who wants to help build a more human future with AI. If you found this episode interesting, please like, subscribe, comment, and share!  Want even more? Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free. To hear more from Dan Shipper: Subscribe to Every: https://every.to/subscribe  Follow him on X: https://twitter.com/danshipper  Timestamps: Introduction: 00:01:29 Patterns in how we’ve historically adopted technology: 00:02:50 Why humans have typically been fearful of new technologies: 00:07:02 How Reid developed his own sense of agency: 00:13:25 The way Reid thinks about making investment decisions: 00:20:08 AI as a “techno-humanist” compass: 00:29:40 How to prepare yourself for the way AI will change knowledge work: 00:35:30 Why equitable access to AI is important: 00:41:39 Reid’s take on why private commons will be beneficial for society: 00:45:15  How AI is making Silicon Valley’s conception of the “quantified self” a reality: 00:47:23 The shift from symbolic to sub-symbolic AI mirrors how we understand intelligence: 00:52:14 Reid’s new book, Superagency: 01:03:29 Links to resources mentioned in the episode:   Reid Hoffman: @reidhoffman Superagency, Reid’s newest book:

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• The Venture Capitalist Who Finds the Best AI Products—Before They Win - Ep. 45 with Nabeel Hyatt

  Nabeel Hyatt is looking for the “Japanese toilets” of AI—products that delight users in unexpected ways. As a partner at Spark Capital, that investment philosophy has paid off. Despite making only 1-2 investments a year, he’s picked some of the biggest winners in AI so far: Descript, Cruise, and Granola. We spent an hour unpacking:  How much “leash” top products give to AI agents—and why that matters How he spots remarkable AI products Why “sensitivity” is one of the most important traits of top founders The huge opportunities for AI products to help users explore new “possibility spaces” How Nabeel is actually using AI tools like ChatGPT, Claude, and AI code editor Windsurf in his life  If you found this episode interesting, please like, subscribe, comment, and share!  Want even more? Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free. To hear more from Dan Shipper: Subscribe to Every: https://every.to/subscribe  Follow him on X: https://twitter.com/danshipper  Timestamps: Introduction: 00:01:32 Why Nabeel doesn’t invest in more than two companies per year: 00:01:50 Why the words you use to describe your business matter: 00:06:49 What a product with soul looks like: 00:13:45 Patterns in the remarkable founders Nabeel has invested in: 00:16:48 How Nabeel evaluates popular coding agents: 00:24:12  AI has broadened the horizons of what Nabeel can do: 00:32:29 How funding models are changing as AI makes it cheaper to build software: 00:36:28 Nabeel’s framework for when to trust an LLM: 00:45:43  Guide AI to provide context (and not just quick answers): 00:55:39 Links to resources mentioned in the episode:   Nabeel Hyatt: @nabeel, https://nabeelhyatt.com/  Spark Capital: https://www.sparkcapital.com/  The piece Chris Pedregal wrote for Every: How to Build a Truly Useful AI Product  Chris Pedregal on AI & I: 🎧 The Secret to Building Sticky AI Products  The AI tools Nabeel talks about: Windsurf, Wordware 

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• An Inside Look at Building an Email Client in 3 Months - Ep. 44 with Kieran Klaassen, Brandon Gell

  Building an email client used to take many years and millions of dollars. But Every’s Kieran Klaassen built Cora—a totally new way to manage your inbox with AI—in just 3 months. He even shipped the original MVP of the product in a single day—something that just wasn’t possible before the current state of generative AI.  Now, there are almost 10,000 people on the waitlist for Cora, and we’re onboarding new users every single day.  Every’s head of Studio Brandon Gell and I worked closely with Kieran as he built Cora, and to kick off my podcast, AI and I, in 2025, I invited both of them on the show to talk about it. We go behind the scenes, getting into: How Kieran built the product with Cursor, o1, and o1 Pro What we’re learning as we onboard new users every day The future of Cora and of Every as a multi-modal media company This is a must watch for anyone curious about our approach to building with AI at Every. If you found this episode interesting, please like, subscribe, comment, and share!  Want even more? Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free. To hear more from Dan Shipper: Subscribe to Every: https://every.to/subscribe  Follow him on X: https://twitter.com/danshipper  Timestamps: Introduction: 00:01:56 How the maker of Cora describes the product: 00:02:33 Our first mistake while building Cora: 00:06:31 The story of how Kieran shipped the first MVP overnight: 00:09:37 Why Dan believes software is becoming content: 00:13:44 Products with a point of view will win: 00:16:40 How Kieran approaches building a new product: 00:19:16 Best practices while using Cursor: 00:31:55 Hacking together a copy editor in Cursor live on the show: 00:41:05 The future of Cora, and the hardest challenge we face today: 00:53:58

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