AI & I

Dan Shipper

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. 3D AGO

    How Salesforce Is Using AI to Power the Enterprise

    This episode contains sponsored content in partnership with Salesforce. At Dreamforce 2025, Every CEO Dan Shipper sat down with Silvio Savarese, chief AI scientist at Salesforce, to discuss how one of the world’s largest software companies is shaping the future of AI for the enterprise. Together, Dan and Savarese explore how his team at Salesforce develops AI solutions that now power more than 13,000 businesses—including OpenAI, Dell, and FedEx—helping them become truly Agentic Enterprises that operate with greater scale, speed, and precision. Examples include a large language model built for Salesforce developers years before ChatGPT’s release, and Agentforce, the company’s agentic layer that enables a hybrid future of work where humans and AI agents collaborate to achieve more than either could alone. They also discuss how Agentforce gives enterprises a deeply unified AI platform that connects their data with agent functionality—making it both powerful and practical. The conversation touches on how Salesforce builds trust with enterprise customers amid the jagged frontier of AI by ensuring consistency in results, while continuing to push the boundaries of what agents can do autonomously. Savarese shares how enterprise-grade simulation environments help them strike that balance, and reflects on how AI agents will ultimately transform how businesses and individuals alike get things done. @Salesforce #SalesforcePartner #DF25 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:00:00 – Start01:16 – Inside Salesforce’s early AI innovations02:50 – How Agentforce works and what it can do07:03 – The real challenges of deploying AI at scale08:57 – Why Salesforce builds simulation environments for AI12:35 – The future of agents and enterprise AI

    14 min

  2. 5D AGO

    Inside Claude Code From the Engineers Who Built It

    At Every, the team credits Claude Code with transforming the way they work. They now ship to codebases they barely know, each new feature makes the next easier to build, and even non-technical teammates confidently use the terminal. To explore how this happened, AI & I host Dan Shipper invited Claude Code’s creators—Cat Wu (@_catwu) and Boris Cherny (@bcherny) from Anthropic AI—to discuss what they’ve learned from building one of the most beloved AI engineering tools in the world. This episode is a must-watch for anyone—technical or not—who wants to understand how to use Claude Code like the people who built it. 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/danshipper Build your first AI-powered app at [ai.studio/build](http://ai.studio/build). Timestamps:  00:00:00 - Start 00:01:26 - Introduction 00:02:25 - Claude Code’s origin story 00:07:03 - How Anthropic dogfoods Claude Code 00:14:06 - Boris and Cat’s favorite slash commands 00:15:49 - How Boris uses Claude Code to plan feature development 00:21:53 - Everything Anthropic has learned about using sub-agents well 00:26:16 - Use Claude Code to turn past code into leverage 00:33:14 - The product decisions for building an agent that’s simple and powerful 00:36:38 - Making Claude Code accessible to the non-technical user 00:45:12 - The next form factor for coding with AI Links to resources mentioned in the episode: - Cat Wu: https://x.com/_catwu - Boris Cherny: https://x.com/bcherny- Claude Code: https://www.claude.com/product/claude-code

    1h 10m

  3. OCT 22

    Spiral: Designing an AI Ghostwriter With Taste

    Good writing has always been downstream of good thinking. The average language model can help you write faster—but can it help you think better? Danny Aziz wrestled with this question while building the new version of Spiral, an AI writing partner informed by our editorial taste at Every that launched yesterday.  The result is a product—and a philosophy—built by the ultimate craftsman who believes you can lean into AI without blunting your edge with slop. We had Danny on AI & I to talk about using AI without losing your craft. We get into the hidden alpha in AI tools that slow you down, how to code with AI without losing your craft, and everything Danny learned about cajoling AI to write well. 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  Ready to build a site that looks hand-coded—without hiring a developer? Launch your site for free at Framer.com, and use code DAN to get your first month of Pro on the house.  Timestamps:  00:00:00 – Start 00:01:00 – Introduction00:05:26 – How Danny used Spiral to prepare for this podcast00:08:29 – Why slowing down makes AI writing better00:13:42 – The agents working under the hood for Spiral00:14:46 – How Spiral helps you explore the canvas of possibilities00:24:41 – Why Danny pivoted away from the old version of Spiral00:31:51 – How to use AI without losing your craft00:34:55 – Danny’s workflow for building Spiral as a solo engineer00:40:39 – Code with AI while staying in control00:45:26 – What Danny learned about getting AI to write well00:47:52 – How Danny used DSPy to give AI taste00:56:16 – Dan v. AI Dan: Can the machine match the man? Links to resources mentioned in the episode: Danny Aziz: Danny Aziz (@DannyAziz97) / X Give Spiral a go: Spiral The article Every published about DSPy: I’ve Stopped Writing Prompts—DSPy Does It Better

    1h 8m

  4. OCT 15

    We Taught AI to Play Games—Now It’s a $3.6 Million Company

    This episode is a little different from our usual fare: It’s a conversation with our head of AI training Alex Duffy about Good Start Labs, a company he incubated inside Every. Today, Good Start Labs is spinning out of Every as a separate company with $3.6 million in funding from General Catalyst, Inovia, Every, and a group of angel investors from top-tier AI labs like DeepMind. We get into how Alex learned some of his biggest lessons about the real world from games, starting with RuneScape, which taught him how markets work and how not to get scammed. He explains why the static benchmarks we use to evaluate LLMs today are breaking down, and how games like Diplomacy offer a richer, more dynamic way to test and train large language models. Finally, Alex shares where he sees the most promise in AI—software, life sciences, and education—and why he believes games can make the models we use smarter, while helping people understand and use AI more effectively. 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 - Start 00:01:48 - Introduction 00:04:14 - Why evals and benchmarks are broken 00:07:13 - The sneakiest LLMs in the market 00:13:00 - A competition that turns prompting into a sport 00:15:49 - Building a business around using games to make AI better 00:22:39 - Can language models learn how to be funny 00:25:31 - Why games are a great way to evaluate and train new models 00:26:58 - What child psychology tells us about games and AI 00:30:10 - Using games to unlock continual learning in AI 00:36:42 - Why Alex cares deeply about games 00:44:37 - Where Alex sees the most promise in AI 00:50:54 - Rethinking how young people start their careers in the age of AI Links to resources mentioned in the episode: Alex Duffy: alex duffy (@alxai_)Good Start Labs: https://goodstartlabs.com/, good start (@goodstartlabs)The book Alex is reading about the importance of games: Playing with Reality: How Games Shape Our WorldThe book Dan recommends by the psychoanalyst D.W. Winnicott: Playing and Reality

    58 min

  5. OCT 8

    Box CEO Aaron Levie on Why AI Agents Won’t Take Your Job

    Aaron Levie is AI-pilled, but he’s one of the few CEOs who sees a future where AI agents work for us, instead of replacing us—helping us to do more than we could before. Aaron’s been the CEO of Box for 20 years–long enough to see a few tech revolutions up close—and taking the company AI-first gave him a glimpse of what the next one means for us. We get into why jobs aren’t going away, the new shape of work, and what it takes to build an AI-first company from the inside. 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/danshipper Meet NotebookLM, the AI research tool and thinking partner that can analyze your sources, turn complexity into clarity and transform your content: https://notebooklm.google.com/ Timestamps: 00:00:00 - Start 00:01:30 – Introduction 00:02:36 – Why AI won’t take your job 00:06:42 – Jevons Paradox and the future of work 00:10:40 – How Aaron’s experience with the cloud era shapes his view of AI 00:19:44 – Why every knowledge worker is becoming a manager of AI agents 00:25:21 – What Aaron’s learned from bringing AI into every corner of Box 00:33:57 – What’s overhyped in AI today 00:43:31 – How Aaron balances everyday execution with innovation Links to resources mentioned in the episode: Aaron Levie: Aaron Levie (@levie)Box: https://www.box.com/Dan’s essay on the shift toward the allocation economy: "The Knowledge Economy Is Over. Welcome to the Allocation Economy"Dwarkesh’s podcast with Richard Sutton: https://www.dwarkesh.com/p/richard-sutton

    53 min

  6. OCT 1

    MCP Servers: Teaching AI to Use the Internet Like Humans

    If your MCP server has dozens of tools, it’s probably built wrong. You need tools that are specific and clear for each use case—but you also can’t have too many. This creates an almost impossible tradeoff that most companies don’t know how to solve. That’s why we interviewed Alex Rattray, the founder and CEO of Stainless. Stainless builds APIs, SDKs, and MCP servers for companies like OpenAI and Anthropic. Alex has spent years mastering how to make software talk to software, and he came on the show to share what he knows. We get into MCP and the future of the AI-native internet. 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/danshipperReady to build a site that looks hand-coded—without hiring a developer? Launch your site for free at Framer.com, and use code DAN to get your first month of Pro on the house. Timestamps: 00:00:00 - Start00:01:14 - Introduction00:02:54 - Why Alex likes running barefoot00:05:09 - APIs and MCP, the connectors of the new internet00:10:53 - Why MCP servers are hard to get right00:20:07 - Design principles for reliable MCP servers00:23:50 - Scaling MCP servers for large APIs00:25:14 - Using MCP for business ops at Stainless00:28:12 - Building a company brain with Claude Code00:33:59 - Where MCP goes from here00:41:10 - Alex’s take on the security model for MCP Links to resources mentioned in the episode: Alex Rattray: Alex Rattray (@RattrayAlex), Alex Rattray Stainless: https://www.stainless.com/

    52 min

  7. SEP 24

    Cognition’s CEO on What Comes After Code

    The future has a way of showing up early to some places. In software engineering, one of those places is Cognition—the startup that made headlines in early 2024 with Devin, the world’s first autonomous coding agent, and more recently with its acquisition of the AI code editor Windsurf. Scott Wu, Cognition’s cofounder and CEO, has a front-row seat to what comes next. In this episode of AI & I, we talk with Wu about why the fundamentals of computer science still matter in an AI-first world, the direction he sees for the short- and long-term future of programming, and why he believes we may already be living with AGI. Timestamps: 00:00:00 – Start00:02:02 – Introduction00:02:32 – Why Scott thinks AGI is here00:09:27 – Scott’s personal journey as a founder00:16:55 – Why the fundamentals of computer science still matter00:22:30 – How the future of programming will evolve00:26:50 – A new workflow for the AI-first software engineer00:29:33 – How Devin stacks up against Claude Code00:40:05 – Reinforcement learning to build better coding agents00:50:05 – What excites Scott about AI beyond Cognition 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  Links to resources mentioned in the episode: Scott Wu: Scott Wu (@ScottWu46) Learn more about Cognition: https://cognition.ai/ Try the world’s first autonomous coding agent: https://devin.ai/

    53 min

  8. SEP 17

    One Developer Got Thousands of Users Before His App Launched

    Naveen Naidu built an app that found product-market fit backwards. Most apps launch first and then try to find users. Monologue, Naveen’s AI voice dictation app that came out of beta yesterday, did the opposite. It built a following of thousands of users during its incubation period at Every—many of them switching over from venture capital-backed competitors—all while the app barely had a landing page. The growth has continued in the 24 hours since launch, with an average of 1 million words being transcribed weekly, and in this episode of AI & I, we sit down with Naveen to talk about his journey as the single engineer behind a viral app. We get into the false starts and side projects that taught Naveen how to ship fast, the brutal feedback that kept Monologue honest, why Every decided to build in a crowded category, and the AI coding tools that let one developer do the work of a team. Get free early access to Amazon's Alexa Plus: https://www.amazon.com/dp/B0DCCNHWV5?ref_=aucc_us_dis_everyalexa_q3_25 Timestamps: 00:01:27 – Introduction 00:03:51 – A live demo of Monologue 00:06:27 – Hard lessons from Naveen’s years in the wilderness 00:12:29 – Building a muscle to ship fast 00:21:11 – The spark that became Monologue 00:26:09 – Dogfooding your way to a killer feature 00:29:45 – Why the harshest product feedback is the most valuable 00:31:47 – Every’s strategy for launching an app in a crowded space 00:40:08 – Giving Monologue the Every “smell” 00:45:09 – Naveen’s one-person AI stack to build beautiful apps 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/danshipper Links to resources mentioned in the episode: https://www.monologue.to/

    57 min
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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.

Information

  • Creator
    Dan Shipper
  • Years Active
    2023 - 2025
  • Episodes
    84
  • Rating
    Clean
  • Copyright
    © Dan Shipper
  • Show Website
    AI & I

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