Explorez tous les épisodes du podcast AI & I
| Titre | Date | Durée | |
|---|---|---|---|
| How a Professional Writer Writes With AI | 02 sept. 2026 | 00:47:58 | |
Two years ago, Katie Parrott was laid off from a crypto firm and couldn’t afford a career coach—so she turned to a $20-a-month ChatGPT subscription instead.
Subscribe to Every: https://every.to/subscribe Go to https://attio.com/every and get 15% off your first year. Timestamps: Links to resources mentioned in the episode: Katie Parrott on X: @kplikethebird | |||
| A $10B Hedge Fund’s AI Playbook (Best of the Pod) | 26 août 2026 | 01:07:06 | |
Will England is the CEO of Walleye Capital, a hedge fund managing nearly $10 billion in assets. An engineer by training with a math background from Oxford, he has spent his career at the intersection of machines and markets—and has made AI fluency mandatory for all 400 employees. England believes refusing to use AI is like refusing to use the internet in 1995 because it wasn’t perfect. His use of AI is public and effusive, including in a firm-wide email that opened with “I used ChatGPT to write this email. You should be using it, too, and be proud of it.” AI informs how Walleye drafts memos and selects stocks. On Every’s AI & I, Dan Shipper spoke with England about why he’s betting his entire organization on AI, why “results are what matter” more than blood, sweat, and tears, and what the American frontier can teach us about leading through technological change. Like, subscribe, comment, and share! To hear more from Dan Shipper: Go to https://attio.com/every and get 15% off your first year. Timestamps: Links to resources mentioned in the episode: | |||
| The AI Alien Companion App That's Bringing In $4M a Year (Best of the Pod) | 19 août 2026 | 01:22:08 | |
LLMs are a new medium for storytelling. That’s according to the creators of Portola, the company behind Tolan: an embodied AI companion that lives on its own planet and chats to you with a distinct personality. In 2025, Portola's founder and CEO Quinten Farmer and Head of Story Eliot Peper joined Dan Shipper to explain how they’re building this new medium from scratch. Their aim is to help users go from overwhelmed to grounded through conversations with Tolan that feel personal and spontaneous, not scripted. On this week’s AI & I, Dan revisits his conversation with Quinten and Eliot. They discuss why response time is everything for voice-based AI interfaces, how Portola designs AI personalities users will click with, and why character-driven AI could become a new computing interface. To hear more from Dan Shipper: Go to https://attio.com/every and get 15% off your first year. Timestamps: | |||
| Microsoft’s Vision for an Internet Made for Agents With CTO Kevin Scott (Best of the Pod) | 12 août 2026 | 00:28:03 | |
In 2025, Kevin Scott bet that the agentic web would be the next big thing in AI. On this week's AI & I, Dan Shipper revisits his conversation with Kevin. They discuss Microsoft's role in the agentic web, why openness doesn't have to come at the expense of security, and why programmers should stay curious about new tools rather than resist them on principle. If you found this episode interesting, please like, subscribe, comment, and share! To hear more from Dan Shipper: Go to https://attio.com/every and get 15% off your first year. Timestamps: Links to resources mentioned in the episode: | |||
| Why the Next Hit AI Product Will Be Social Why the Next Hit AI Product Will Be Social (Best of the Pod) | 05 août 2026 | 00:48:35 | |
Most consumer AI so far has been single-player: you and a chatbot, alone. Benchmark partner Sarah Tavel, one of Pinterest's first 30 employees, is betting that's about to change. She's looking for a product genius who can build an AI product with social DNA: status, network effects, and multiplayer dynamics. That'll enable users of ChatGPT and other models to learn from how others use AI and level up. On this week’s AI & I, Dan Shipper revisits his conversation with Sarah. They talk about why technical founders dominate the early days of a platform shift while product-minded founders win later, what ChatGPT is still missing, and what separates a founder's real network effect from a slide with a flywheel diagram. If you found this episode interesting, please like, subscribe, comment, and share! To hear more from Dan Shipper: Subscribe to Every: https://every.to/subscribe Follow him on X: https://twitter.com/danshipper Timestamps for YouTube: 0:00 Start 1:10 Introduction 2:26 Why the future of consumer AI belongs to founders with product intuition 11:09 What Sarah sees as ChatGPT's biggest weakness 18:45 How Sarah would design a consumer AI app with social DNA 24:10 The kind of founders Sarah invests in 28:33 How to know if your startup's network effects are real 35:40 What's catching Sarah's eye beyond AI 40:41 How AI will change the way top venture capitalists invest Links to resources mentioned in the episode: Sarah Tavel on X: https://x.com/sarahtavel Benchmark: https://benchmark.com Agentio (marketplace for YouTube creators and brands): https://agentio.com/ Chainalysis: https://chainalysis.com The Five Temptations of a CEO by Patrick Lencioni: https://www.amazon.com/dp/B007BZBRB8 Thinking in Bets by Annie Duke: https://www.amazon.com/dp/B0HBBW23PM | |||
| Best of the Pod: Wired's Kevin Kelly on Why AI Is a 50-year Overnight Success | 29 juil. 2026 | 00:53:42 | |
Kevin Kelly has spent over 30 years experiencing the edge of new technology: from the earliest days of the internet to the first years of Burning Man. But he’s always treated the frontier as a place to visit, not somewhere to live. It’s partially how he’s been able to stay grounded through tech’s various hype cycles. If you found this episode interesting, please like, subscribe, comment, and share! To hear more from Dan Shipper: Timestamps for YouTube: Links to resources mentioned in the episode: | |||
| How Every's Team Used AI to Ship Its Biggest Launch Ever | 22 juil. 2026 | 00:46:31 | |
Yash Poojary, a growth engineer at Every, dropped an idea for a campaign in Slack at 7 p.m. Instead of building it himself, Every’s head of growth Austin Tedesco took a screenshot of the Slack thread, dropped it into Codex, typed "Can you do this?", and went to the gym.
0:00 Intro 0:35 All Access Explained 3:01 Yash's Tech Stack and How He's Automating Testing Pipelines 8:02 The Idea to Execution Loop 10:25 How an Agent Turned an Idea into $25K 17:50 The AI Sandwich Workflow 22:03 Making AI Tools Accessible to Solo Builders 28:50 Douglas on Brand and Design 34:51 Tips on What to Build First 43:46 What's Next for All Access
Go to https://attio.com/every and get 15% off your first year. | |||
| The Founder of a $1.5B AI Company on What Comes After the First Wave of AI Apps | 15 juil. 2026 | 00:59:39 | |
“Running a startup is a knife fight whether things are going well or not,” says Chris Pedregal, cofounder and CEO of Granola. Granola recently raised a $125 million series C round at a $1.5 billion valuation on the strength of its AI meeting notetaker. That’s why Granola is betting on owning the entire meeting workflow: preparing people for a call, helping them act on it afterward, and making that context available to whatever agent—Claude, Codex, or anything else—people bring to the table. Over the next few months, the company plans to push hard on its API and MCP to make that possible. More from Dan Shipper: Timestamps: Episode resources:
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| How a Writer Uses AI Without Losing His Voice | 08 juil. 2026 | 00:53:08 | |
Craig Mod used to pay Campaign Monitor roughly $7,000 a year to send his newsletters. After rebuilding the tool himself with AI, his bill is closer to $150. It’s the kind of thing that convinces him we’re about to enter a “golden age of tool building”—one where anyone can build tools specifically suited to their needs, instead of settling for software from incumbents that are slow to innovate. Mod is the writer and photographer behind the newsletters Roden and Ridgeline and books like Things Become Other Things and Kissa by Kissa—as well as a lifelong technologist. He’s rebuilt the tax software Quicken, created a private alternative for Twitter for his members which he calls The Good Place, and used AI to build an archive for his pop-up newsletters. But while Mod is an advocate of using AI to build, he draws the line at using it to write. Mod talks to Dan Shipper about using AI as a research assistant, why he keeps a tech-free zone in the mornings for deep thinking, and why he’s resisting the pull of the “mainlining” AI era. If you found this episode interesting, please like, subscribe, comment, and share! Subscribe to Every: https://every.to/subscribe Timestamps:
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| The AI Workflows Behind Every's Consulting Team | 01 juil. 2026 | 00:41:17 | |
Natalia Quintero joined Every as head of consulting with a mandate to bring AI into the workflows of executives at hedge funds, private equity firms, and tech companies. She is also a recent Codex convert—someone who spent months resisting the tool before Dan Shipper’s daily pestering finally got her to try it. Natalia encountered Codex as a non-technical builder who had learned to navigate file systems and folder structures in Claude Code through sheer effort. She’s now used Codex to do everything from automate her CRM setup to build a portal to manage her father’s medical care. If you found this episode interesting, please like, subscribe, comment, and share! To hear more from Dan Shipper: Timestamps:
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| Building a School Where AI Models Learn About Humanity | 24 juin 2026 | 00:43:49 | |
If scaling laws hold—and Surge AI CEO Edwin Chen believes they do—we’re hurtling toward a future where there’s nothing humans can do that AI can’t do better. When OpenAI’s models disproved an open conjecture posed by mathematician Paul Erdős using novel algebraic geometry techniques, Fields medalist Timothy Gowers felt the shift acutely. He initially thought the model had proved an upper bound, and braced himself: that would mean it was “all over for mathematicians very soon.” When he realized it had only found a counterexample, he was relieved—it bought him another year or two before the thing he’s devoted his life to becomes something AI does better. As founder and CEO of the company behind the data environments and evals the major model companies use to train their models, Chen has a unique perspective on how quickly AI models are absorbing tasks we used to think of as uniquely human. Dan Shipper talked with Chen for AI & I about what the act of creating or building means when AI can do it better—and whether an answer to that question already exists within science fiction. If you found this episode interesting, please like, subscribe, comment, and share! Join the membership for Where You Live at https://www.joinbilt.com/dan To hear more from Dan Shipper: Timestamps: Links to resources mentioned in the episode: Every is the most AI-native startup on the internet. Through ideas, software and education, subscribers get the tools to work at the frontier of AI. Start your free trial today: https://every.to/subscribe?utm_source=youtube Follow Every: https://x.com/every | |||
| GitHub’s COO Explains Why AI Hasn’t Replaced Developers | 17 juin 2026 | 00:28:08 | |
Last year, there were 1 billion commits on GitHub. This year, Kyle Daigle expects that number to exceed 14 billion, a two-component explosion caused by more humans—and their agents—issuing pull requests. In March alone, 17 million pull requests on GitHub were created by agents. If you found this episode interesting, please like, subscribe, comment, and share! Want even more? | |||
| How Anthropic Uses Claude Fable 5 With Mike Krieger | 10 juin 2026 | 00:52:07 | |
Mike Krieger built one of the most consequential consumer apps of the last two decades as the cofounder of Instagram. He is now at the frontier of AI-native product development as head of Anthropic Labs, the team responsible for figuring out what the most capable AI models can do in the hands of real builders. To hear more from Dan Shipper: Timestamps: Links to resources mentioned in the episode: | |||
| The SaaS Apocalypse Is a Goldmine With Figma’s Matt Colyer | 03 juin 2026 | 00:33:54 | |
The "SaaSpocalypse"—the panic that AI will make software-as-a-service obsolete—hasn't rattled Figma’s Matt Colyer. As the company’s director of product management for developers, he's been building his own agents for two years and is buying more software services than ever. In addition to making the case that AI is a “goldmine” for SaaS companies, Colyer talked with Dan Shipper for AI & I about why great design requires a diamond-shaped process: First you diverge, generating as many ideas as possible, then you converge around the best ones. Chat is linear, which makes it good for iterating on one design but bad at generating lots of options. Figma's new on-canvas agent is a first attempt at fixing that. They also get into why AI design tools need to break free of the text box, how Figma's MCP server is closing the loop between code and design, and why "review" has become the biggest bottleneck in AI-assisted product work. If you found this episode interesting, please like, subscribe, comment, and share!
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| We Automated Everything With AI and Tripled Our Headcount | 27 mai 2026 | 00:41:13 | |
Dan Shipper runs one of the most AI-native companies today. Every has agents embedded in nearly every workflow—“if you swing a stick in our Slack, you're as likely to hit a human as an agent,” he says. And yet the company has grown from four people to 30 since GPT-3 came out, and is still hiring. If you found this episode interesting, please like, subscribe, comment, and share! To hear more from Dan Shipper: Links to resources mentioned in the episode:
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| Inside Stainless: The Developer Tools Startup Anthropic Just Bought for $300 Million | 20 mai 2026 | 00:51:26 | |
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. [Disclosure: Dan is a small investor in Stainless.] If you found this episode interesting, please like, subscribe, comment, and share. To hear more from Dan Shipper: Get started with Braintrust at https://www.braintrust.dev/ Timestamps: Links to resources mentioned in the episode: | |||
| Claude Code Can Be Your Second Brain | 13 mai 2026 | 01:10:02 | |
From time to time, we will republish episodes that you might have missed. This episode originally aired in September 2025. Noah Brier uses Claude Code as his second brain—it’s the coolest notetaking setup we’ve ever seen. We had him on the show to tell us exactly how he’s pulling this off. Dan and Noah get into: The nuts and bolts of the Claude Code-Obsidian setup: Noah set up Claude Code on top of his Obsidian root directory, and he walked me through how he uses it to prep for an upcoming speech—creating a project folder, pulling in relevant research from his notes, saving transcripts from chats with other LLMs, and generating daily progress updates. The “thinking partner” that lives inside Noah’s second brain: Noah points out that in the hype around AI’s ability to write, the fact that it can read is overlooked. That’s why he has an agent inside Claude Code with strict guardrails to stay in “thinking mode.” It logs his questions, tracks insights, and catches him up on research if he returns to a project after a few days away. How Noah does deep work on his phone: Noah rigged a home server in his basement, put his Obsidian vault in it—and then runs Claude Code on top. Noah says that being able to think, write, research, and ship code from his phone has fundamentally changed the way he works. This episode is a must-watch for anyone curious about who wants to learn how to use Claude Code to build a true second brain. If you found this episode interesting, please like, subscribe, comment, and share!
00:00:52 - Introduction Links to resources mentioned in the episode: | |||
| The Secrets of Claude's Platform From the Team Who Built It | 08 mai 2026 | 00:43:21 | |
In the future, you’ll be able to accomplish a goal by just giving Claude an outcome and a budget.
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| Why We Switched From Claude Code to Codex | 06 mai 2026 | 00:58:24 | |
In January, Dan Shipper wrote that whoever wins vibe coding wins how you work on your computer—and OpenAI had some serious catching up to do. Three months and the release of GPT-5.5 later, Codex has more than caught up. Austin Tedesco, Every's head of growth, now spends about 80 percent of his working time inside the Codex desktop app, doing everything from drafting go-to-market plans from a stack of meeting transcripts to rebuilding the company's KPI dashboard. On this episode of AI & I, Dan sat down with Austin to discuss why the agent management interface—a desktop app built on top of a coding agent—is becoming the new operating system for knowledge work, and why Codex has become his daily driver. If you found this episode interesting, please like, subscribe, comment, and share! To hear more from Dan Shipper: Subscribe to Every: every.to/subscribe Follow him on X: twitter.com/danshipper Join the membership for Where You Live at joinbilt.com/dan Timestamps for YouTube: 00:00:00 Introduction Links to resources mentioned in the episode: Austin on X: @tedescau Dan's January essay on OpenAI's catch-up problem: every.to/chain-of-thought/openai-has-some-catching-up-to-do Every's vibe check on GPT-5.5: every.to/vibe-check/gpt-5-5 | |||
| How Stripe Is Building for an Agent-native World | 29 avr. 2026 | 00:53:54 | |
Emily Glassberg Sands leads data and AI at Stripe, which processes roughly 2% of global GDP, giving her a bird’s-eye view into how AI is upending the internet economy.
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| The AI Sandwich: Where Humans Excel in an AI World | 22 avr. 2026 | 00:28:31 | |
Kieran is the creator of Every's AI-native engineering methodology, compound engineering. His four-step framework—plan, work, review, compound—rebuilds how engineers work with agents. The insight, worked out with collaborator Trevin Chow, is about when to be in the loop and when to step away and let the model handle it. "LLMs are very good at just following steps, doing deep work, working for hours—days even now," Kieran says. "That thing is kind of solved." Kieran and Trevin describe an AI workflow as a sandwich. Agents are the workhorse filling, and humans are the bread, responsible for framing the problem at the start and reviewing the outputs at the end. Every CEO Dan Shipper talked with Kieran for AI & I about why setting the frame of a problem is still hard for agents, why simulated personas won't replace human judgment, Dan's bar for AGI—an agent worth running 24/7 with no off switch—and what Kieran's background as a classical composer taught him about performance, polish, and finding the parts of work that bring you joy. If you found this episode interesting, please like, subscribe, comment, and share! Head to http://granola.ai/every and get 3 months free with the code EVERY To hear more from Dan Shipper:
Discover more resources in the episode
Timestamps: 00:00:00 – Introduction and the AI sandwich metaphor | |||
| The AI Model Built for What LLMs Can't Do | 15 avr. 2026 | 00:53:38 | |
Most AI companies are racing to build bigger LLMs. Eve Bodnia thinks that's the wrong approach. Eve is the founder and CEO of Logical Intelligence, which is developing an alternative to the transformer-based models dominating the industry. Her argument: LLMs’ architecture makes them fundamentally unsuited for some mission-critical tasks. A system that generates output one token at a time, with no ability to inspect its own reasoning mid-process or guarantee its results, shouldn't be trusted to design chips, analyze financial data, or even fly a plane. Her alternative is the energy-based model (EBM), a form of AI rooted in the physics principle of energy minimization, not language prediction. Rather than guessing the next probable word, an EBM maps every possible outcome across a mathematical landscape, where likely states settle into valleys and improbable ones sit on peaks. Dan Shipper talked with Bodnia for AI & I about why she believes LLM progress is plateauing, what it means for AI to actually understand data rather than just pattern-match across it, and how her team is building toward formally verified code generated in plain English—no C++ required. If you found this episode interesting, please like, subscribe, comment, and share! Head to http://granola.ai/every and get 3 months free with the code EVERY To hear more from Dan Shipper: Subscribe to Every: https://every.to/subscribe Follow him on X: https://twitter.com/danshipper Timestamps: 00:00:51 - Introduction 00:02:09 - Why correctness and verifiability matter in AI 00:09:33 - What an energy-based model is 00:14:21 - How EBMs construct energy landscapes to understand data 00:19:00 - Why modeling intelligence through language alone is a flawed approach 00:26:54 - What it means for a model to "understand" data 00:37:21 - How EBMs solve the vibe coding problem and enable formally verified code 00:43:21 - Why LLM progress is plateauing 00:49:54 - Mission-critical industries haven't adopted LLMs, and how EBMs could fill that gap | |||
| We Gave Every Employee an AI Agent. Here's What Happened. | 08 avr. 2026 | 00:49:43 | |
While walking to the office, our COO Brandon Gell had his AI agent call him and go over his emails in his inbox one by one. When he arrived, he opened Gmail and confirmed she'd done everything he'd asked. "My jaw is on the floor," he messaged me. If you found this episode interesting, please like, subscribe, comment, and share! To hear more from Dan Shipper: Visit https://scl.ai/dialect to learn more about Dialect, a new system from Scale AI. Timestamps: | |||
| If SaaS Is Dead, Linear Didn't Get the Memo | 01 avr. 2026 | 00:52:49 | |
Founded in 2019, Linear is the rare company started pre-ChatGPT to have successfully reinvented itself as an agent-native business. If you found this episode interesting, please like, subscribe, comment, and share! To hear more from Dan Shipper: Visit https://scl.ai/dialect to learn more about Dialect, a new system from Scale AI. Timestamps: | |||
| How to Build an Agent-native Product | Mike Krieger | 25 mars 2026 | 00:48:30 | |
Mike Krieger built one of the most consequential consumer apps of the last two decades as cofounder of Instagram. He is now at the frontier of determining what makes a breakout AI-native product as co-lead of Anthropic Labs. To hear more from Dan Shipper: Download Grammarly for FREE at grammarly.com Timestamps Links to resources mentioned in the episode: | |||
| How Every Builds a Writing Team in the Age of AI | 18 mars 2026 | 00:56:34 | |
Kate Lee has spent her career working with words—first as a literary agent, then in roles at Medium, WeWork, and Stripe. As Every’s editor in chief, she’s been the quiet force behind the newsletter for more than three years. To hear more from Dan Shipper: Timestamps Links to resources mentioned in the episode: | |||
| We Made a Document Editor Where Humans and AI Work Side by Side | 11 mars 2026 | 00:44:38 | |
Every has unveiled a new product, built by CEO Dan Shipper. It's called Proof, a free, open-source, live collaborative document editor built for humans and AI agents to work in together.
Get started building today at http://framer.com/dan for 30% OFF a Framer Pro annual plan. Download Grammarly for free at Grammarly.com
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| Meet the Slowest Startup Incubator in the World—Pumping Out Billion-dollar Companies | 04 mars 2026 | 00:45:28 | |
Silicon Valley loves billion-dollar moonshots and AI darlings. Sam Gerstenzang and Dan Friedman are doing something different—they're starting medical spas and funeral homes. On this episode of AI & I, Dan Shipper sat down with Gerstenzang and Friedman, partners at Boulton and Watt, which they call the "world's slowest startup incubator." Their model: Come up with an idea, achieve five or 10 million dollars in revenue themselves, then hand it off to a CEO who can take it to the next stage. They've used this playbook to build Moxie, a Series C company that helps nurses open their own medical spas, now with 600-plus customers and a 200-person team globally. Their second company, Meadow Memorials, is a contemporary funeral home with no physical real estate. It has become the largest provider of funeral services in California. Both businesses launched right around the arrival of ChatGPT—and neither was built with AI in mind. So how are they thinking about AI inside companies where the core work isn't going to change? In this conversation, Gerstenzang and Friedman share how they built an AI agent called Matthew Bolton to power their customer discovery process, why synthetic customer calls completely failed for them, and why they believe you shouldn't give anyone credit for using AI. If you found this episode interesting, please like, subscribe, comment, and share! 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: Intent is what comes after your IDE. Try it yourself: augmentcode.com/intent Head to granola.ai/every to get 3 months free. Ready to build a site that looks hand-coded—without hiring a developer? Launch your site for free at www.Framer.com, and use code DAN to get your first month of Pro on the house.
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| Meet the Student With No Teachers, No Homework—Just AI | 25 févr. 2026 | 00:53:29 | |
Depending on whom you ask, AI is either the best or worst thing that can happen to the next generation. The arguments come from educators, venture capitalists, op-ed writers, and anxious parents—but rarely from the young people in question. On this episode of AI & I, Dan Shipper sat down with one: Alex Mathew, a 17-year-old high-school senior at Alpha High School in Austin, Texas. Alpha School, a rapidly expanding network of kindergarten through grade 12 private schools, is not without controversy. Inside Alpha High School, there are no traditional teachers, all academic content is delivered through an AI-powered platform, and the adults in the classroom, known as “guides,” focus solely on supporting the students emotionally and keeping them motivated to learn. The students have two- to three-hour learning blocks every morning and spend the rest of the day going deep on a project in an area they care about, spanning art, sport, life skills, and entrepreneurship. Mathew’s project is a startup called Berry, built around an AI stuffed animal designed to help teenagers with their mental health. His vision is for teens to talk to the plushie for five to 10 minutes a day and, in the process, learn to recognize and cope with their problems in the right way. In this episode, Dan and Mathew talk about what a day at Alpha High looks like, what keeps students from cheating when AI is everywhere, and how Generation Z—people born between 1997–2012—really feels about college, social media, and books. 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:
In a world of generic AI, don’t sound like everyone else. With Grammarly, you never will. Download Grammarly for free at Grammarly.com. Intent is what comes after your IDE. Try it yourself: augmentcode.com/intent Head to granola.ai/every to get 3 months free. Timestamps: 00:00:00 – Start Links to resources mentioned in the episode:
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| OpenAI's Codex: This Model Is So Fast It Changes How You Code | 18 févr. 2026 | 00:46:41 | |
OpenAI’s hottest app isn’t ChatGPT—it’s Codex. In the last few weeks alone, the Codex team shipped a desktop app, GPT-5.3 Codex (a new flagship model), and Spark, the fastest coding model I’ve ever used. Usage has grown fivefold since January, and over a million people now use Codex weekly. Codex was also the app that OpenAI chose to run an ad for in the Super Bowl. Dan Shipper talked to Thibault Sottiaux, head of Codex, and Andrew Ambrosino, a member of technical staff who built the Codex app, for Every’s AI & I about what OpenAI is building and how they’re using it internally. 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:
Head to granola.ai/every and get 3 months free with the code EVERY. Timestamps: 00:00:00 - Start 00:01:27 - Introduction 00:05:27 - OpenAI's evolving bet on its coding agent 00:09:42 - The choice to invest in a GUI (over a terminal) 00:20:38 - The AI workflows that the Codex team relies on to ship 00:26:45 - Teaching Codex how to read between the lines 00:28:45 - Building affordances for a lightening fast model 00:33:15 - Why speed is a dimension of intelligence 00:36:30 - Code review is the next bottleneck for coding agents 00:41:24 - How the Codex team positions against the competition Links to resources mentioned in the episode:
Every’s vibe check on everything the Codex team launched: OpenAI's Codex App Gains Ground on Claude Code, GPT-5.3 Codex—The 10x Engineer, Now More Fun at Parties, AI as Fast as Your Train of Thought | |||
| Inside OpenAI’s Agentic Browser, Atlas | 11 févr. 2026 | 00:55:33 | |
The AI labs fighting for attention during the Super Bowl call to mind another iconic Super Bowl moment: Apple’s 1984 ad for the Macintosh, which promised that the personal computer would be a source of unbound wonder, freedom, and delight. They were right, but over time, the personal computer has also become cluttered with errands. These “computer errands”—downloading a W-2 when tax season rolls around, hunting for the right coupon code before checkout, or navigating the unholy labyrinth of the Amazon Web Services dashboard just to change one permission setting—have taken over our digital lives. Atlas, OpenAI’s agentic browser, sprang from the idea that AI should handle this tedium for you. In this week’s episode of AI & I, Dan Shipper sat down with two members of the Atlas team, Ben Goodger and Darin Fisher. Goodger is Atlas’s head of engineering, and Fisher is a member of the technical staff. Both are legends of the browser world. They’ve spent decades building the modern web, working together on Netscape, Firefox, and Chrome before arriving at Atlas. From that vantage point, they told Dan how they think browsing is about to change, why building a browser is harder than it looks, and what it’s like to create a new one with AI coding tools like Codex. 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:
Move fast, don’t break things Most AI coding tools don’t know which line of code will actually break your system. Try Augment Code, which understands your entire codebase, including the repos, languages, and dependencies that actually runs your business, and use their playbook to learn more about their framework, checklists, and assessments. Ship 30% faster with 40% shorter merge times. [Playbook at augmentcode.com] Timestamps: 00:01:57 - Introduction Links to resources mentioned in the episode:
OpenAI’s browser, Atlas: Introducing ChatGPT Atlas | |||
| How We Built 'Claudie,' Our AI Project Manager (Full Walkthrough) | 04 févr. 2026 | 00:47:15 | |
Natalia is the head of AI consulting at Every. As part of the role, she's spoken with over 100 organizations in the past year and worked with a select two dozen, including hedge funds, private equity firms, and Fortune 500 companies. She’s seen what separates companies thriving with AI from those floundering, and it comes down to patterns that have nothing to do with having the most resources or the fanciest tools. Dan Shipper had her on AI & I to share what she’s learned from this front-row seat to AI adoption. Quintero reveals how a private equity firm cut investment memo creation from three weeks to 30 minutes, why AI adoption needs to come from the top down, and what happened when she learned from her early morning experiments. She also explains why the companies going furthest with AI are the ones that give employees permission to fail—and how that counterintuitive approach is revolutionary. 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:
Ready to build a site that looks hand-coded—without hiring a developer? Launch your site for free at www.Framer.com, and use code DAN to get your first month of Pro on the house. Timestamps: 00:00:00 - Introduction 00:01:30 - Why successful AI adoption requires coordinated, top-down effort 00:07:05 - How a private equity firm reduced investment memo creation from weeks to 30 minutes 00:13:30 - The benefits of connecting AI to proprietary context 00:15:20 - The plan-delegate-assess-compound framework for engineering teams 00:17:55 - How non-technical team members are becoming vibe coding addicts 00:20:50 - Building Claudie: an AI project manager from scratch 00:23:00 - Why creative exploration time outside the 9-to-5 is essential 00:27:50 - Live demo: How Claudie automates client onboarding and tracking 00:38:40 - The human side of AI: spending less time in spreadsheets, more time with people Links to resources mentioned in the episode:
Every’s compound engineering plugin: https://github.com/EveryInc/compound-engineering-plugin | |||
| How Andrew Wilkinson Uses Opus 4.5 in His Work and Life | 21 janv. 2026 | 01:02:58 | |
Entrepreneur Andrew Wilkinson used to sleep nine hours a night. Now he wakes up at 4 a.m. and goes straight to work—because he can’t wait to keep building with Anthropic’s latest model, Opus 4.5.
If you found this episode interesting, please like, subscribe, comment, and share!
Ready to build a site that looks hand-coded—without hiring a developer? Launch your site for free at www.framer.com, and use code DAN to get your first month of Pro on the house! Timestamps: 00:00:00 - Start 00:01:07 - Introduction 00:02:48 - Why Opus 4.5 feels like the iPhone moment for vibe coding 00:08:31 - Why designers have a unique advantage with AI 00:18:13 - An AI trained on your relationship that predicts your fights 00:30:40 - Using AI meeting notes to make your life better 00:40:21 - Wilkinson’s Claude Code tips and workflows 00:47:59 - Your personal stylist is a prompt away 00:53:17 - How AI is changing the way Wilkinson invests in software Links to resources mentioned in the episode:
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| Why Your AI Learning Projects Keep Fizzling Out | 14 janv. 2026 | 00:55:13 | |
LLMs have made it absurdly easy to go deep on almost any topic. So why haven’t we all used ChatGPT to earn college degrees we wished we had majored in or pursued a niche interest, like learning how to name the trees in our neighborhood? I know I’m not the only one to feel guilty for well-intentioned attempts at autodidactism that inevitably peter out. Entrepreneur Nir Zicherman has a reason for this disconnect: LLMs can answer most of your questions, but they won’t notice when you’re lost or pull you back in when your motivation starts to fade. As the CEO and cofounder of Oboe, a platform that generates personalized courses about everything from the history of snowboarding to JavaScript fundamentals using AI, Zicherman has thought deeply about why the ability to access information does not automatically lead to understanding a concept. In this episode of AI & I, he talks to Dan Shipper about everything he’s learned about learning with LLMs.
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:
Timestamps: 00:00:00 - Start 00:00:36 - Introduction 00:01:49 - Why you need a dedicated AI learning app 00:04:32 - The process of learning is more passive than you might think 00:10:21 - Live demo of Oboe to create a course about philosopher Ludwig Wittgenstein 00:16:52 - Learning works best when it comes in many formats 00:28:21 - Where AI agents currently fall short in the learning experience 00:34:10 - The importance of making learning feel accessible 00:35:56 - How Zicherman uses Oboe to learn quantum physics 00:40:54 - How embeddings spaces remind Dan of quantum mechanics Links to resources mentioned in the episode:
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| Vibe Check: Claude Cowork Is Claude Code for the Rest of Us | 13 janv. 2026 | 01:32:45 | |
Anthropic just dropped Claude Cowork—essentially Claude Code for everyone, not just engineers—and we got to chat about it with a product engineer at Anthropic who helped build it. In this live Vibe Check, Dan Shipper and Kieran Klaassen explore the new interface together, testing what works (and what doesn't) in real time. Anthropic’s Felix Rieseberg joins midway through to explain the philosophy behind Cowork's design: why it separates "Tasks" from "Chats," how the queue system lets you send messages while the agent is working, and what "agent-native" architecture means in practice. They also dig into Skills—Claude's prompt system that lets you customize how it works—and the Chrome connector for browser automation. This is a raw, unfiltered first look at what might be the future of how knowledge workers interact with AI: async workflows instead of turn-by-turn chat. If you found this episode interesting, please like, subscribe, comment, and share! Want even more? Check out Dan's guide to building agent-native applications: https://every.to/guides/agent-native
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| AI in 2026: Reid Hoffman’s Predictions on Agents, Work, and Creation | 07 janv. 2026 | 00:59:35 | |
From cofounding LinkedIn to backing OpenAI early, Reid Hoffman is in the habit of being right about the future, so we wanted to know what he saw coming in 2026.
Hoffman’s other bets on the future include cofounding AI drug discovery startup Manas AI, investing at venture capital firm Greylock Partners, writing books, and hosting the Masters of Scale podcast. He’s also an investor at Every. If you found this episode interesting, please like, subscribe, comment, and share!
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.
Timestamps: 00:00:00 - Start 00:00:52 - Introduction 00:02:20 - The future of work is an entrepreneurial mindset 00:05:22 - Creation is addictive (and that’s okay) 00:09:22 - Why discourse around AI might get uglier this year 00:17:03 - AI agents will break out of coding in 2026 00:24:18 - What makes Anthropic’s Opus 4.5 such a good model 00:28:46 - Who will win the agentic coding race 00:36:13 - Why enterprise AI will finally land this year 00:43:16 - How Hoffman defines AGI 00:55:33 - The most underrated category to watch in AI right now
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| Four Predictions for How AI Will Change Software in 2026 | 31 déc. 2025 | 00:37:09 | |
Tomorrow is the first day of 2026, and to give our listeners a view of the trends that’ll shape the year ahead, Dan Shipper had Every COO Brandon Gell on AI & I to discuss their predictions for what’s next. They discussed how software will be built, who will build it, and what it will take for truly autonomous AI agents to become a reality. 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:
Follow him on X: https://twitter.com/danshipper Timestamps: | |||
| Best of the Pod: Reid Hoffman on How AI Is Answering Our Biggest Questions | 24 déc. 2025 | 01:01:13 | |
Learn how to use philosophy to run your business more effectively. Reid is a founder, investor, podcaster, and author. But before he did any of these things, he studied philosophy—and it changed the way he thinks. Studying philosophy trains you to think deeply about truth, human nature, and the meaning of life. It helps you see the big picture and reason through complex problems—invaluable skills for founders grappling with existential questions about their business. I usually bring guests onto my podcast to discuss the actionable ways in which people have incorporated ChatGPT into their lives. But this episode is different. I sat down with Reid to tackle a deeper question: How is AI changing what it means to be human? It was honestly one of the most meaningful shows I’ve recorded yet. We dive into: Reid also shares actionable uses of ChatGPT for people who want to think more clearly, like: This episode is a must-watch for anyone curious about some of the bigger questions prompted by the rapid development of AI. If you found this episode interesting, please like, subscribe, comment, and share! Want even more? To hear more from Dan Shipper: 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: Links to resources mentioned in the episode: | |||
| Jhana Meditation Live: How Anyone Can Achieve Super Wellbeing | 16 déc. 2025 | 01:16:04 | |
We had someone guide himself toward Jhana live on our podcast. And he narrated himself from start to finish. Jhanas are meditative bliss states and they traditionally require thousands of hours of practice. But Stephen Zerfas and his team at Jhourney are changing that—creating retreats where most participants hit a Jhana in their first week. Dan Shipper went to one of their retreats earlier this year, and it was by far the best he’s been to. So we had Stephen on AI & I to show us how he gets into a Jhana and what the future of super wellbeing might look like. 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:
Timestamps: Introduction: 00:00:56 A primer on Jhana meditation: 00:01:18 Zerfas guides himself towards Jhana: 00:05:47 Why Jhana is about resting into what already exists: 00:36:04 Approaching meditation with play and curiosity: 00:39:30 The potential pitfalls of Jhana meditation: 00:45:04 How to hack your personality through memory reconsolidation: 00:48:21 Why Jhana won't let you numb yourself to real problems: 00:53:10 How Jhana meditation has changed Zerfas: 00:55:36 How Jhourney is using AI to make Jhanas more accessible: 01:09:41 Links to resources mentioned in the episode:
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| She Turned Her Whole Life Into Training Data—For an AI Baby | 10 déc. 2025 | 01:13:35 | |
Sarah Rose Siskind is incubating two types of intelligence at once: her unborn child, and FetusGPT—an LLM trained on nothing but what she hears and says throughout the day. This includes Seinfeld episodes, YouTube videos about lemurs, eight hours of snoring per night—and even conversations with me, all condensed into MP3 and text files that are used to train the AI. Since FetusGPT is learning English from such a narrow, idiosyncratic slice of the world, it mostly babbles right now, and if she swears, it picks that up too. FetusGPT is one zany example of how Siskind uses humor to make a bigger point: AI is what we make of it. It’s an approach that feeds through her comedy writing and work as the founder of science and technology communications agency Hello SciCom. We had Siskind on AI & I to talk about how she uses AI in her creative process as a comedian, and the unexpected support it's become, both practical and emotional, as she navigates pregnancy. 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 Pitch is the AI presentation platform that helps professionals collaborate on, create, and deliver winning slide decks — all while staying on brand: https://pitch.com/use-cases/ai-presentation-maker/?utm_medium=paid-influencer&utm_campaign=every Timestamps: 00:00:00 - Start 00:01:54 - Introduction 00:02:03 - How Siskind is running an experiment between her unborn child and an LLM 00:07:34 - A demo of Siskind’s FetusGPT 00:15:16 - Siskind’s pick for the funniest LLM 00:17:12 - How Siskind uses AI in her comedy writing 00:24:41 - Dan and Siskind use ChatGPT to write a joke together live on the show 00:37:21 - Why AI is useful even when you don’t use its output directly 00:44:15 - How Siskind used a ChatGPT project to biohack her energy levels 00:57:09 - A question we fundamentally couldn’t have asked in pre-ChatGPT times 01:05:29 - How ChatGPT is a source of emotional support for Siskind in pregnancy Links to resources mentioned in the episode: Sarah Rose Siskind: https://sarahrosesiskind.com/ Siskind’s agency Hello SciCom: https://www.hellosci.com/ Siskind’s book recommendations: I Forced a Bot to Write This Book, The Let Them Theory, Artificial Intelligence: An Illustrated History | |||
| Why Opus 4.5 Just Became the Most Influential AI Model | 03 déc. 2025 | 01:25:11 | |
The world changed last week—Opus 4.5 is the best coding model Dan has ever used.
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| Best of the Pod: Would You Shut Down Your Most Successful Product? The Arc to Dia Story | 26 nov. 2025 | 01:23:45 | |
If you had millions of people using a product you spent years building, would you kill it? That’s exactly what The Browser Company did with Arc. Originally recorded in July before The Browser Company’s acquisition by software giant Atlassian earlier this year, we’re republishing this episode because its lessons are truly timeless. Today, the team continues to operate independently under Atlassian’s umbrella. The internet backlash when the company killed Arc in May 2025 was intense, but cofounders Josh Miller and Hursh Agrawal saw that AI was about to make the web something you talk to, not just click into. The best home for that assistant was the thing that's already between you and the internet—the browser. And they realized they couldn’t just duct-tape it on to Arc. One year of heads-down work later, the team launched Dia in beta, and people are raving about it. Dia is a sleek, fast, browser with AI at its core—it gets better with every tab you open, becoming more and more helpful with time. And even though it’s still early, Josh and Hursh’s big pivot looks like one for the ages. In this episode of AI & I, Josh and Hursh spoke for the first time in a full-length podcast about their pivot from Arc to Dia. We talked through their decision-making process, the very public backlash the company faced, and the grit it took to stay the course. If you found this episode interesting, please like, subscribe, comment, and share! Want even more? To hear more from Dan Shipper:
Links to resources mentioned in the episode: Note: This episode is a rerun from our archives. | |||
| Best of the Pod: Claude Code - How Two Engineers Ship Like a Team of 15 | 19 nov. 2025 | 00:53:01 | |
If you’re using AI to just write code, you’re missing out. Two engineers at Every shipped six features, five bug fixes, and three infrastructure updates in one week—and they did it by designing workflows with AI agents, where each task makes the next one easier, faster, and more reliable. In this episode of AI & I, Dan Shipper interviewed the pair—Kieran Klaassen, general manager of Cora, our inbox management tool, and Cora engineer Nityesh Agarwal—about how they’re compounding their engineering with AI. They walk Dan through their workflow in Anthropic’s agentic coding tool, Claude Code, and the mental models they’ve developed for making AI agents truly useful. Kieran, our resident AI-agent aficionado, also ranked all the AI coding assistants he’s used. If you found this episode interesting, please like, subscribe, comment, and share! Want even more? To hear more from Dan Shipper: Pitch is the AI presentation platform that helps professionals collaborate on, create, and deliver winning slide decks — all while staying on brand: https://pitch.com/use-cases/ai-presentation-maker/?utm_medium=paid-influencer&utm_campaign=every Timestamps: Links to resources mentioned in the episode: Kieran Klaassen: @kieranklaassen | |||
| Building AI Agents to Launch a Million Businesses | 12 nov. 2025 | 01:05:50 | |
Henrik Werdelin wants to launch a million businesses that each make $1M—and he’s doing it with AI. After helping launch Barkbox and Ro Health through his incubator Prehype, Henrik is distilling everything he knows into Audos, a platform that helps you use AI agents to turn your idea into a profitable, lasting company.
If you found this episode interesting, please like, subscribe, comment, and share!
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:
Head to ai.studio/build to create your first app.
Timestamps: 00:01:33 - Introduction 00:02:50 - Dan and Henrik on the new breed of entrepreneurship that AI makes possible 00:11:08 - Why Henrik believes the future belongs to a million $1M companies 00:16:14 - How to build “relationship capital” with your customers 00:21:35 - Why “customer-founder fit” shapes lasting companies 00:23:01 - Everything Henrik learned about himself from a decade of building companies 00:31:44 - How Henrik finds focus and meaning in the daily chaos 00:34:17 - How Henrik is parenting two kids in the age of AI 00:50:33 - The way AI can fix what social media broke 00:56:59 - What happens when AI agents become part of how we tell stories
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| What Jason Fried Learned from 26 Years of Building Great Products | 05 nov. 2025 | 00:58:28 | |
37signals makes tens of millions in profit every year but Jason Fried isn’t all that interested in running a business. Instead, he cares most about making great products—like Basecamp, HEY, and Ruby on Rails—products that are centered around a single, coherent idea. These products are complete wholes, where each piece matters—like a Frank Lloyd Wright house or a vintage car. But how do you create products like that? In this conversation, we talk to Jason about what two decades of building 37signals has been like—and how to build products that have soul. If you found this episode interesting, please like, subscribe, comment, and share!
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:
Listen to Working Smarter wherever you get your podcasts, or visit workingsmarter.ai. Timestamps: 00:00:00 - Start 00:00:32 - Introduction 00:02:06 - What architecture, watches, and cars teach us about software 00:10:54 - How Jason thinks AI plays into product-building 00:20:58 - How developers at 37signals use AI 00:25:47 - Jason’s biggest realization after 26 years of running 37signals 00:29:58 - Where Jason thinks luck shaped his career 00:32:41 - What Jason would do if he were graduated into the AI boom 00:37:22 - Dan asks for advice on running a non-traditional company like Every 00:46:39 - Why staying true to yourself is the only way to build something lasting 00:49:38 - Wholeness as the north star for building products—and companies Links to resources mentioned in the episode:
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| How Salesforce Is Using AI to Power the Enterprise | 31 oct. 2025 | 00:14:12 | |
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: | |||
| Inside Claude Code From the Engineers Who Built It | 29 oct. 2025 | 01:10:12 | |
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? To hear more from Dan Shipper: 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
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| Spiral: Designing an AI Ghostwriter With Taste | 22 oct. 2025 | 01:07:38 | |
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.
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:
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 – Introduction Links to resources mentioned in the episode:
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| We Taught AI to Play Games—Now It’s a $3.6 Million Company | 15 oct. 2025 | 00:58:23 | |
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:
Timestamps 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:
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| Box CEO Aaron Levie on Why AI Agents Won’t Take Your Job | 08 oct. 2025 | 00:52:56 | |
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:
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:
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