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The Every Podcast

von Dan Shipper

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  1. How AI Will Change Science Forever - Ep. 43 with Alice Albrecht

    AI is going to change science forever. Small scale studies will give way to large scale open data gathering efforts. We’ll shift from seeking broad general theories to making contextual predictions in individual cases. The traditional resea

  2. The Secret to Building Sticky AI Products - Ep. 42 with Chris Pedregal

    Chris Pedregal (https://x.com/cjpedregal) knows how to build AI products that people love (https://every.to/thesis/how-to-build-a-truly-useful-ai-product). Chris is the cofounder and CEO of Granola (https://www.granola.ai/), an AI-powered n

  3. Do 60-Minute Coding Tasks in 60 Seconds—With AI - Ep. 41 with Steve Krouse

    Here’s the most compelling benchmark of AI progress: A task that took 60 minutes a year ago now takes 60 seconds. In January 2024, researcher Geoffrey Litt and I spent an hour coaxing ChatGPT to build a simple app (https://every.to/podcast/

  4. How We Incubate and Launch New Products With AI - Ep. 40 with Danny Aziz, Brandon Gell

    Over the last few months at Every, we’ve launched two new AI products with tens of thousands of users, and we’ll release a third one before the end of the year. The weird thing is: We’re a media company with less than 10 full-time employees

  5. His GPT Wrapper Has Half a Million Users—And Keeps Growing - Ep. 39 with Vicente Silveira

    Everyone told Vicente Silveira that his startup—a GPT wrapper—would fail. Instead, one year later, it’s thriving—with about 500,000 registered users, nearly 3,000 paying subscribers, and over 2 million conversations in the GPT store. Vicent

  6. How to Win With Prompt Engineering - Ep. 38 with Jared Zoneraich

    Prompt engineering isn’t just about telling AI to solve your problems—it’s about knowing which ones to solve. Yet there’s a mismatch between the people who can identify the right problems—experts with deep domain knowledge—and the technical

  7. How Notion Cofounder Simon Last Builds AI for Millions of Users - Ep. 37 with Simon Last

    Notion cofounder Simon Last (https://x.com/simonlast) told me everything he’s learned from integrating an AI application into a platform that has over 100 million users (https://www.notion.so/blog/100-million-of-you). Simon likes to keep a

  8. How Union Square Ventures Built an AI Brain for Venture Capital - Ep. 36 with Matt Cynamon

    Union Square Ventures (https://www.usv.com/) is building an AI operating system to support their investment team. But it’s not what you think: It’s a constellation of AI tools that captures and synthesizes the firm's collective wisdom. It’s

  9. Building AI That Builds Itself - Ep. 35 with Yohei Nakajima

    Yohei Nakajima⁠ (https://twitter.com/yoheinakajima) leads a double life. By day, he’s a general partner of a small venture firm, ⁠Untapped Capital⁠ (https://x.com/untappedvc). By night, he’s one of the most prolific internet tinkerers in AI

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

    Simon Eskildsen (https://x.com/Sirupsen) is a learning machine. I first interviewed (https://every.to/superorganizers/how-to-build-a-learning-machine-299655) him in 2020 about how he leveled up from being an intern at Shopify to becoming th

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