AI and I

Dan Shipper
AI and I

Learn how the smartest people in the world are using AI to think, create, and relate. Each week I interview founders, filmmakers, writers, investors, and others about how they use AI tools like ChatGPT, Claude, and Midjourney in their work and in their lives. We screen-share through their historical chats and then experiment with AI live on the show. Join us to discover how AI is changing how we think about our world—and ourselves. For more essays, interviews, and experiments at the forefront of AI: https://every.to/chain-of-thought?sort=newest.

  1. SEP 11

    How to Use AI to Become a Learning Machine - Ep. 34 with Simon Eskildsen

    This episode is sponsored by Reflect. It’s the ultra-fast note-taking app that’s about to change the way you take notes. To boost your productivity with advanced features like custom prompts and voice transcripts, give Reflect a try by clicking on this link: https://reflect.app/?utm_source=every&utm_medium=sponsorship&utm_campaign=september2024 Simon Eskildsen is a learning machine.  I first interviewed him in 2020 about how he leveled up from an intern at Shopify to the company’s director of production engineering by reading and applying insights from hundreds of books. A lot has changed over the last four years. LLMs have made it possible to contextualize information like never before—and in this episode, I sat down with Simon to talk about how this changes the way he learns. Simon is now the cofounder and CEO of AI startup turbopuffer, which is building a search engine that makes vector search easy and affordable to run at scale. We get into: How Simon’s learning rituals have evolved over time, as the cofounder of a growing startup and a new parent  The ways Simon has integrated ChatGPT, Claude, and Notion AI to do everything from writing legal documents to maintaining his rural cabin in Quebec  The custom AI commands in productivity tool Raycast that Simon uses to learn new words and cook creative dishes Simon’s take on how language models will reshape the future of learning, especially skills like language acquisition, for the next generation  As we talk, we screenshare through his Anki setup, including the flashcard template he finds most useful, and try out his custom AI commands in Raycast to understand the meaning of two of my favorite obscure words, “lambent” and “eigengrau.” This is a must-watch for note-taking aficionados and anyone who wants to supercharge their learning 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: 00:01:06 How entrepreneurship and parenthood changed Simon’s learning rituals: 00:02:51 How Simon accelerates his learning by using LLMs to find associations: 00:12:59 Simon’s Anki setup and the flashcard template he swears by: 00:18:24 The custom AI commands that Simon uses most often: 00:26:02 How Simon uses LLMs for DIY home projects: 00:37:45 Leveraging LLMs as intuitive translators: 00:40:48 Simon’s take on how AI is reshaping the future of learning: 00:51:38 How to use Notion AI to write: 00:59:10 The AI tools that Simon uses to write, read, and code: 01:08:53 Links to resources mentioned in the episode:  Simon Eskildsen: @Sirupsen Simon’s startup, turbopuffer: turberpuffer.com, @turbopuffer My first interview with Simon in 2020: https://every.to/superorganizers/how-to-build-a-learning-machine-299655  The productivity tool through which Simon uses LLMs, Raycast: https://www.raycast.com/  The other AI tools that Simon is experimenting with: voice-to-text tool superwhisper, copilot for developers Supermaven, code editor Cursor

    1h 14m
  2. SEP 4

    How to Supercharge Your Writing With AI Tools - Ep. 33 with Evan Armstrong

    How do two professional writers use AI to do the best work of their lives? In today’s show, Every’s lead writer Evan Armstrong and I conduct an expert workshop on how we use ChatGPT, Claude, AI-powered word processor Lex, and the prompt builder that Every launched, Spiral, to feed our obsession with words—and help us write for more than 78,000 readers every day. We talk about how AI helps us: Understand our taste—understanding what good is Pick a topic—knowing what to write about Craft our words—everything from sketching out an outline to writing and editing Build an audience—learn how to reach people We get into: How I used Claude and ChatGPT to help me identify the kind of writing I like—and why that’s critically important for mastery  How Evan uses ChatGPT to explore his taste across books, movies, and paintings  The way I use Claude Projects to help me turn a vast amount of research into a clear thesis statement for major projects The routine Evan swears by to publish two pieces every week How Evan and I use Lex to push through writer’s block and catch common writing mistakes like passive voice My workflow inside Claude to craft emphatic metaphors How we use Spiral to write viral tweets  Evan is the lead writer at Every who writes the column Napkin Math twice a week. He’s smart, funny, curious—and has the rare combination of business acumen, way with words, and crazy required to be a professional writer. This is a must-watch for aspiring writers, or anyone whose job involves writing more than six sentences in a row. 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: 00:01:04 How to develop good taste: 00:04:28 Dan uses Claude to articulate his taste in books: 00:13:34 How to use LLMs to explore art cross different mediums: 00:21:06 The way Evan chooses his next essay topic: 00:33:45 Go from research notes to clear thesis in Claude Projects: 00:38:20 How Evan uses AI to master new topics quickly: 00:46:51 Evan leverages AI to power through writer’s block: 00:59:21 How to use Claude to find good metaphors: 01:04:28 The role of AI in building an audience: 01:11:44 Links to resources mentioned in the episode:  Evan Armstrong: @itsurboyevan The column Evan writes at Every: Napkin Math Evan’s upcoming course about how to write with AI: https://www.writewithai.xyz/  The piece Dan wrote about using LLMs to articulate his taste: "What I Do When I Can’t Sleep" Dan’s article about admitting that he wants to be a writer: "Admitting What Is Obvious"

    1h 35m
  3. AUG 28

    The Browser Company Is Building a Brand That Drives Viral Growth - Ep. 32 with Nashilu Mouen-Makoua

    The Browser Company isn’t just building a browser, they’re building a formidable brand—and they’re doing it with AI.  I sat down with Nashilu Mouen-Makoua, the head of storytelling at The Browser Company, to talk about how they tell stories that capture the cultural zeitgeist and connect authentically with their users—and how she integrates AI into her process for both. We get into: Nash’s storytelling philosophy, and why she believes focusing on people is the key to a strong brand How to she uses ChatGPT to do deep research into past cultural moments—and the songs, movies, and products that resonated most deeply in those contexts The brass tacks of how the creative team at The Browser Company comes up with great ideas—including how they structure internal meetings How Nash has integrated ChatGPT to help her polish her words What Nash thinks the gestalt of the current age is—and how The Browser Company is trying to reach “laptop people” in a fresh way We also screen share through Nash’s conversation with ChatGPT as she conducted research for an exercise in how to position Arc, and use the LLM to simulate a typical Arc user and interview them live on the show to gather preliminary customer insights. This is a must-watch for people who want to use AI to tell compelling stories about what they’re building in tech. 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: 00:00:47 Nash’s philosophy around storytelling: 00:04:03 The Browser Company’s strategy to come up with creative ideas: 00:09:07 Why Nash thinks building brands people can relate to is important: 00:15:00 How to avoid the tired narrative around AI products: 00:18:47 The ways Nash has integrated ChatGPT into her workflow: 00:22:21 Why understanding social context is important to position your product: 00:33:35 How Nash uses ChatGPT to get a gut check on her writing: 00:41:10 What Nash thinks is the gestalt of the current age: 00:49:50  Nash and Dan use ChatGPT to simulate and interview a typical Arc user: 00:52:01 Links to resources mentioned in the episode:  Nashilu Mouen-Makoua: https://twitter.com/lafillemouen  The Browser Company: https://thebrowser.company/, https://twitter.com/browsercompany Arc, the browser that reimagines the way we use the internet: https://arc.net/, @arcinternet Tracy Chapman’s song, Talkin’ About a Revolution: https://www.youtube.com/watch?v=Xv8FBjo1Y8I

    1h 9m
  4. AUG 23

    Building an AI Media and Software Empire - Ep. 31 with Brandon Gell

    The journey to a calm, profitable business in the AI age We’re building a mini-AI media and software empire at Every.  Today on AI & I, Brandon Gell joins the show to turn the tables on me and act as podcast host to explore what we’re doing as a company, how we got here, and where we’re going. Brandon is Every’s first entrepreneur in residence, and he was the perfect person to host, because he’s one of the key reasons for our recent acceleration. Before joining Every, Brandon was the cofounder and CEO of Clyde, a startup that helped brands launch their own insurance and warranty programs, where he raised $50 million and led a team of 100 before selling it to global insurance tech company Cover Genius in early 2023. In this episode, he interviews me about how I learned to code in middle school, how I built and sold my first startup coming out of college, and how it all led to Every. We also talk about Brandon’s story. He joined Every just four months ago—and it feels like we’ve done the work of years since. We’ve launched two new AI products, an incredible amount of great writing, a new course, and more. We get into: My candid thoughts on entrepreneurship in the AI age—including why you should ship fast, and how not to be misled by metrics like TAM  How AI startups can find valuable niches—and live demos of our apps Spiral and Sparkle Brandon’s hard-earned lessons from running a insuretech business for seven years The confusing realities of being an exited founder, and how we navigated through those times What brought Brandon to Every—including the email he sent me before joining Every’s master plan and what we hope to build over the next few months and years This is a must-watch for anyone interested in building a calm, profitable business empire in the age of 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: 00:00:56 Dan’s childhood dream—to build a Microsoft competitor: 00:03:36 The first app Dan built in middle school: 00:07:07 The story of Dan’s first company that he sold in college: 00:18:52 How Every came to be: 00:33:56 The start of Brandon’s journey as a builder: 00:49:15 Brandon’s first software app—and why you should launch first, and iterate later: 00:57:05 Everything Brandon learned from running a B2B business for seven years: 01:08:49 What brought Brandon to Every—and the email he sent Dan before joining: 01:18:00 Every’s master plan to be a successful creator-run business: 01:29:15  Live demo of Spiral, the app that automates 80 percent of repetitive creative work: 01:38:11 Brandon and Dan’s take on how AI startups can find a valuable niche: 01:44:00 Live demo of Sparkle, the app that organizes your files for you: 01:50:52 Links to resources mentioned in the episode: Brandon Gell: https://twitter.com/bran_don_gell The piece Dan recently published about Every’s master plan: https://every.to/chain-of-thought/every-s-master-plan  Dan’s piece about the unbundling of Excel, and why it serves as an important story in the age of AI: https://every.to/chain-of-thought/the-great-ai-unbundling  Tomasz Tunguz, the VC who has also written about Excel: https://tomtunguz.com/  Every cofounder Nathan’s word processor, Lex: https://lex.page/  Spiral, the app that automates 80 percent of repetitive creative work: https://spiral.computer/  Sparkle, the app that automatically organizes your files: https://makeitsparkle.co/

    1h 56m
  5. AUG 14

    How to Be a Smarter Reader in the Age of AI - Ep. 30 with Alex Wieckowski

    Alex Wieckowski is on a mission to make you fall in love with reading again—and he thinks AI can help. Alex, who writes a newsletter that captures lessons from books he’s read and tips to become a better reader, Alex & Books, is a creator with over 1 million followers across social platforms. He’s also the author of a book of quotes that will inspire you to read more, Learn to Love Reading. We spent an hour talking about how Alex uses AI to be a smarter reader, and we tested out a few strategies live on the show, including: prompting ChatGPT to recommend books that will help me lead a creator-run business better, understanding the deeper themes in Hermann Hesse’s novel Siddhartha with large language models, and using AI to create an actionable strategy for Alex to build a course based on the frameworks in Alex Hormozi’s business strategy book $100M Offers.  Alex clued me into what he’s learned about developing a good reading habit, and his best advice on how to reignite your passion for books. We also discuss Alex’s predictions on how companies like Neuralink, which make use of a brain-computer interface—a technology that allows users to control external devices through brain activity—will change the future of reading and books. Here’s a link to the transcript of this episode. This is a must-watch for book lovers, people struggling to finish books, and anyone who wants to take their reading to the next level 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: 00:00:34 Choose physical books over e-readers to boost your memory: 00:01:36 Alex’s take on how long books will stay relevant: 00:02:54 Prompt ChatGPT to find your next read: 00:07:40 Articulating Dan’s taste in books with AI: 00:13:50 Use AI to find books tailored to solve your problems: 00:15:46 How to use AI as a personal study buddy: 00:33:32 Prompt LLMs to turn insights from books into actionable strategies: 00:41:19 What Alex’s rule around buying a new book is: 01:02:10 Alex’s advice for anyone who feels like they don’t have time to read: 01:16:36 Links to resources mentioned in the episode: Alex Wieckowski: https://twitter.com/AlexAndBooks_ Alex’s newsletter: https://alexandbooks.beehiiv.com/ The self-improvement book that got Alex into reading: How to Win Friends & Influence People by Dale Carnegie The books that Dan is reading: Children of Memory by Adrian Tchaikovsky, Pragmatism as Anti-Authoritarianism by Richard Rorty  The books that Alex is reading: Never Enough: From Barista to Billionaire by Andrew Wilkinson, $100M Offers by Alex Hormozi, Siddhartha by Hermann Hesse, Outlive by Peter Attia

    1h 20m
  6. AUG 7

    How Packy McCormick Finds His Next Big Idea - Ep. 29

    One of the most influential voices in tech explains how AI helps him write and invest.This episode is sponsored by Create. If you want to maximize your gains, both with your body and with ChatGPT, try creatinine gummies from Create. Place your order through this link to get a 30 percent discount: https://trycreate.co/products/creatine-monohydrate-gummies-270-count?discount=every24Packy McCormick’s job is to find, articulate, and invest behind the next big idea.He writes Not Boring, a newsletter that analyzes technology and startups for 200,000 subscribers every week. He also invests in early stage companies through his fund Not Boring Capital and is an advisor at a16z crypto.I spent an hour with him to understand how he’s baked AI into the way he thinks, writes, and invests. We get into: How he uses AI to understand dense concepts and refine his arguments His thesis around vertically integrated businesses being the future of tech How Packy uses Claude Projects to edit his newsletter How he makes interactive graphics that represent concepts from his essays The tools Packy uses to research, write, and edit Not Boring When he thinks the next crypto bull run will take place We also use Projects to build an AI tool that grades Packy’s essays live on the show.This is a must-watch for writers, investors, and anyone trying to understand the cutting edge of technology.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/subscribeFollow him on X: https://twitter.com/danshipperTimestamps:00:00:00 - Teaser00:01:24 - Introduction00:02:40 - Packy's thesis about the future of technology00:07:42 - What Packy quick takes on your crypto portfolio00:14:31 - Use LLMs to validate your understanding of complex concepts00:18:26 - How Packy used Claude Projects to write an essay he published recently00:24:00 - Packy's process to make interactive visual graphics for his essays00:31:10 - How to use AI to be thorough in your research00:35:04 - How Packy uses Claude to edit his writing00:36:44 - The tools Packy uses to create his newsletter00:44:12 - Using Claude Projects to make a tool that grades Packy's essaysLinks to resources mentioned in the episode:Packy McCormick: https://twitter.com/packyMPacky’s newsletter, Not Boring: https://www.notboring.co/Packy’s fund, Not Boring Capital: https://www.notboring.co/p/introducing-not-boring-capitalOne of Packy’s first essays, about natively integrated companies: https://www.packym.com/natively-integrated-companiesAnduril, the company Packy thinks is an example of a Techno-industrial: https://www.anduril.com/Packy’s portfolio company that’s integration crypto into its product: https://v2.oncyber.io/The interactive tool Packy made for a recent newsletter: https://goventvectorsum.replit.app/ for https://www.notboring.co/p/the-american-millenniumPacky’s essay about America’s tolerance for risk: https://www.notboring.co/p/riskophiliaPacky’s essays about Blackbird: https://www.notboring.co/p/blackbird

    1h 13m
  7. JUL 31

    How a Top Podcaster Rides the AI Wave - Ep. 28 with Nathaniel Whittemore

    Keeping up with AI is Nathaniel Whittemore’s full-time job—and I spent an hour with him to understand how he does it. Nathaniel is the host of a top-ranked AI podcast on the technology charts, The AI Daily Brief, which breaks down the most important news in AI every day. He is also the founder and CEO of Superintelligent, a platform that teaches you how to use AI for work and fun through interactive video tutorials.  We talked about how he curates information with X bookmarks, Google News, news aggregator Feedly, and research tool Perplexity; the workflow that helps him record and produce two daily podcasts; and why he thinks optimizing your processes with AI remains one of its most underrated applications. Here’s what you’ll learn if you listen to or watch this episode: How to curates AI news using X bookmarks, Google News, Perplexity, and other specialized tools Nathaniel’s insights from producing 300-plus episodes of a top-ranked podcast The granular details of the workflow that helps Nathaniel produce two daily podcasts Actionable advice on how to get the most out of AI right now  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: 00:00:51 How you can get value of AI right now: 00:02:15 Nathaniel goes through his X bookmarks: 00:14:07 Why content should have a point of view: 00:20:25 Tools that Nathaniel uses to curate news about AI: 00:23:47 How to use LLMs to structure your thoughts: 00:31:27 Why the history of Excel is a good way to understand AI’s progress: 00:38:40 The AI features in Descript that Nathaniel uses: 00:45:46 AI-powered tools to help you generate content:00:49:11 Nathaniel’s tips on using Midjourney to generate YouTube thumbnails: 00:58:32 Links to resources mentioned in the episode: Nathaniel Whittemore: https://twitter.com/⁠nlw The podcasts Nathaniel hosts: The AI Daily Brief, The Breakdown Podcast Nathaniel’s AI education platform: Superintelligent The tools Nathaniel uses to curate AI news: Google News, Feedly, Perplexity The AI-powered content generation tools Nathaniel likes: Hoppy Copy, SEO.ai

    1h 9m
  8. JUL 24

    Dwarkesh Patel’s Quest to Learn Everything - Ep. 27

    This episode is sponsored by Command Bar, an embedded AI copilot designed to improve user experience on your web or mobile site. Find them here: https://www.commandbar.com/copilot/ Dwarkesh Patel is on a quest to know everything. He’s using LLMs to enhance how he reads, learns, thinks, and conducts interviews. Dwarkesh is a podcaster who’s interviewed a wide range of people, like Mark Zuckerberg, Tony Blair, and Marc Andreesen. Before conducting each of these interviews, Dwarkesh learns as much as he can about his guest and their area of expertise—AI hardware, tense geopolitical crises, and the genetics of human origins, to name a few. The most important tool in his learning arsenal? AI—specifically Claude, Claude Projects, and a few custom tools he’s built to accelerate his workflow. He does this by researching extensively, and as his knowledge grows, each piece of new information builds upon the last, making it easier and easier to grasp meaningful insights. In this interview, I turn the tables on him to understand how the prolific podcaster uses AI to become a smarter version of himself. We get into: - How he uses LLMs to remember everything - His podcast prep workflow with Claude to understand complex topics - Why it’s important to be an early adopter of technology - His taste in books and how he uses LLMs to learn from them - How he thinks about building a worldview - His quick takes on the AI’s existential questions—AGI and P(doom) We also use Claude live on the show to help Dwarkesh research for an upcoming podcast recording. This is a must-watch for curious people who want to use AI to become smarter. 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. It’s usually only for paying subscribers, but you can get it here for free. To hear more from Dan Shipper: - Subscribe to Every - Follow him on X Timestamps: 00:00:00 - Teaser 00:01:44 - Introduction 00:05:37 - How Dwarkesh uses LLMs to remember everything 00:11:50 - Dwarkesh's taste in books and how he uses AI to learn from them 00:17:58 - Why it's important to be an early adopter of technology 00:20:44 - How Dwarkesh uses Claude to understand complex concepts 00:26:36 - Dwarkesh on how you can compound your intelligence 00:28:21 - Why Dwarkesh is on a quest to know everything 00:39:19 - Dan and Dwarkesh prep for an upcoming interview 01:04:14 - How Dwarkesh uses AI for post-production of his podcast 01:08:51 - Rapid fire on AI's biggest questions—AGI and P(doom) Links to resources mentioned in the episode: - Dwarkesh Patel - Dwarkesh’s podcast and newsletter - Dwarkesh’s interview with researcher Andy Matuschak on spaced repetition - The book about technology and society that both Dan and Dwarkesh are reading: Medieval Technology and Social Change - Dan’s interview with Reid Hoffman - The book by Will Durant that inspires Dwarkesh: Fallen Leaves - One of the most interesting books Dwarkesh has read: The Great Divide - Upcoming guests on Dwarkesh’s podcast: David Reich and Daniel Yergin

    1h 13m
4.8
out of 5
19 Ratings

About

Learn how the smartest people in the world are using AI to think, create, and relate. Each week I interview founders, filmmakers, writers, investors, and others about how they use AI tools like ChatGPT, Claude, and Midjourney in their work and in their lives. We screen-share through their historical chats and then experiment with AI live on the show. Join us to discover how AI is changing how we think about our world—and ourselves. For more essays, interviews, and experiments at the forefront of AI: https://every.to/chain-of-thought?sort=newest.

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