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!
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:
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:
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 – Start
01:16 – Inside Salesforce’s early AI innovations
02:50 – How Agentforce works and what it can do
07:03 – The real challenges of deploying AI at scale
08:57 – Why Salesforce builds simulation environments for AI
12:35 – The future of agents and enterprise AI
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/subscribe
Follow 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
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:
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
00:05:26 – How Danny used Spiral to prepare for this podcast
00:08:29 – Why slowing down makes AI writing better
00:13:42 – The agents working under the hood for Spiral
00:14:46 – How Spiral helps you explore the canvas of possibilities
00:24:41 – Why Danny pivoted away from the old version of Spiral
00:31:51 – How to use AI without losing your craft
00:34:55 – Danny’s workflow for building Spiral as a solo engineer
00:40:39 – Code with AI while staying in control
00:45:26 – What Danny learned about getting AI to write well
00:47:52 – How Danny used DSPy to give AI taste
00:56:16 – Dan v. AI Dan: Can the machine match the man?
Links to resources mentioned in the episode:
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:
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:
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:
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
00:01:14 - Introduction
00:02:54 - Why Alex likes running barefoot
00:05:09 - APIs and MCP, the connectors of the new internet
00:10:53 - Why MCP servers are hard to get right
00:20:07 - Design principles for reliable MCP servers
00:23:50 - Scaling MCP servers for large APIs
00:25:14 - Using MCP for business ops at Stainless
00:28:12 - Building a company brain with Claude Code
00:33:59 - Where MCP goes from here
00:41:10 - Alex’s take on the security model for MCP
Links to resources mentioned in the episode:
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 – Start
00:02:02 – Introduction
00:02:32 – Why Scott thinks AGI is here
00:09:27 – Scott’s personal journey as a founder
00:16:55 – Why the fundamentals of computer science still matter
00:22:30 – How the future of programming will evolve
00:26:50 – A new workflow for the AI-first software engineer
00:29:33 – How Devin stacks up against Claude Code
00:40:05 – Reinforcement learning to build better coding agents
00:50:05 – 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:
Links to resources mentioned in the episode:
Try the world’s first autonomous coding agent: https://devin.ai/
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:
Links to resources mentioned in the episode:
https://www.monologue.to/
Noah Brier uses Claude Code as his second brain—it’s the coolest notetaking setup we’ve ever seen.
He has Claude running on a server in his basement hooked up to a VPN. It stores, reads, and writes to thousands of notes in his Obsidian vault. He does it all from his phone.
We had him on the show to tell us exactly how he’s pulling this off.
Dan and Noah get into:
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!
Start building in Google AI Studio at ai.dev.
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:
00:01:19 - Introduction
00:04:28 - How you can do deep work on your phone
00:06:14 - Why Noah thinks Grok has the best voice AI
00:11:39 - The nuts and bolts of Noah’s Claude Code-Obsidian setup
00:23:59 - Using an agent in Claude Code as a “thinking partner”
00:35:07 - Noah’s Thomas’ English Muffin theory of AI
00:44:04 - The white space still left to explore in AI
00:50:41 - How Noah is preparing his kids for AI
01:01:54 - How he brought his Claude Code setup to mobile
Links to resources mentioned in the episode:
We had Dean Leitersdorf on the pod and he did something no guest had ever done.
Mid-sentence, he transformed from a startup founder in a black t-shirt to a wizard with light shooting from his hands. Then, he was in a white-walled game universe, and when he picked up the tissue box on his table, it morphed into a gun which he could shoot by moving his arm.
He did it with one of his products, Mirage: It takes any live video feed (like Dean on the pod) and instantly renders each frame into a new style of your choosing—40 milliseconds from input to output.
Dean is the co-founder and CEO of the creators of Decart which makes Mirage. They recently raised $100 million at a $3.1 billion valuation to build a new era of real-time generative AI experiences like this.
Realtime generative video models are going to change video games forever, and Dean is on the forefront: imagine creating endless variations on existing titles, like GTA-V with a frigid winter filter, or taking a bare-bones vibe-coded prototype and using Mirage to texture it.
But games are just the beginning, Dean sees Mirage as opening the door to a new medium, a new experience created by AI.
In this episode, we take a look at how Mirage works under the hood, and what the Decart team learned about the future of software while wrestling with its toughest research problems. We also debate AGI—how close it really is, what counts as progress, and what kind of society it might create. This episode is a must watch for anyone interested in the future of gaming, creativity, or if you just want your mind blown by what’s already possible.
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:
Links to resources mentioned in the episode:
AGI is coming. Reid Hoffman just wrote the book on how to prepare.
According to Reid, every major tech breakthrough (the written word, the printing press, the telephone) triggered mass fear. But, contrary to our worries, new technology tends to enhance human agency—even more so, if you know how to use it well.
Reid is the cofounder of LinkedIn, Inflection AI, and Manas AI; a partner at venture capital firm Greylock Partners; an early backer and board member of OpenAI; and an award-winning podcaster
We spent an hour talking about how to develop a compass for navigating AGI. Here are a few takeaways:
Our sense of human agency is not just about external control but an internal stance—how we approach uncertainty & new tech is crucial
In new technology waves, NO blueprint or plan will have the right answers. Instead, adapting to new technology requires broad access, an experimental mindset, and flexibility
In an AGI world most jobs will transform, not disappear—and how you can prepare with hands-on trial and error
How certain social norms and ethics should change as AGI changes the landscape—like individual access to personal data
Why now may be finally be the era where quantified self tools become valuable
…and more, including everything in his new book Superagency, out this week.
It was a pleasure to have him on the show for a second time. This is a must-watch for anyone who wants to help build a more human future with AI.
If you found this episode interesting, please like, subscribe, comment, and share!
Want even more? Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-.... 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: / danshipper
Sponsor:
Attio is the AI-native CRM built for the next era of companies. With Attio, setup takes minutes. Connect your email and calendar, and it instantly builds a CRM that mirrors your business. Go to https://www.attio.com/every to get 15% off on your first year.
Timestamps:
00:00:00 — Episode Start
00:01:29 — Introduction
00:02:50 — Patterns in how we've historically adopted technology
00:07:02 — Why humans have typically been fearful of new technologies
00:13:25 — How Reid developed his own sense of agency
00:20:08 — The way Reid thinks about making investment decisions
00:22:00 — Attio: Go to https://attio.com/every and get 15% off your first year on your AI-powered CRM.
00:29:40 — AI as a "techno-humanist" compass
00:35:30 — How to prepare yourself for the way AI will change knowledge work
00:41:39 — Why equitable access to AI is important
00:45:15 — Reid's take on why private commons will be beneficial for society
00:47:23 — How AI is making Silicon Valley's conception of the "quantified self" a reality
00:52:14 — The shift from symbolic to sub-symbolic AI mirrors how we understand intelligence
01:03:29 — Reid's new book, Superagency
Links to resources mentioned in the episode:
Reid Hoffman: @reidhoffman Superagency, Reid’s newest book: https://www.superagency.ai/
**Automate 80% of your repetitive writing, thinking, and creative tasks**
**Try Spiral made by Dan Shipper & Every: https://spiral.computer?utm_source=youtube**
Claire Vo built ChatPRD—an on-demand chief product officer powered by AI. It’s now used by over 10,000 product managers and is pulling in six figures in revenue.
The best part?
Claire has a demanding day job as the CPO at LaunchDarkly. So she built all of ChatPRD herself—over the weekend—with AI.
I sat down with Claire to talk about how ChatPRD works, how she built it as a side hustle using AI, and all of the ways she’s using AI tools to accelerate her work and life.
We get into:
- How she used AI to build ChatPRD over Thanksgiving break
- The part of product management that Claire thinks AI will disrupt
- Why the PMs of tomorrow will be “proto-managers” who create prototypes rather than just specs
- How junior PMs can use AI to upskill faster
- The ways in which ChatPRD is baked into her own workflow
- How building ChatPRD is making Claire a better PM
- How Claire uses AI as a tech-forward parent
This is a must-watch for anyone interested in turning their side hustle into a thriving business or who works in product.
If you found this episode interesting, please like, subscribe, comment, and share!
Thanks to Google and LTX Studio for sponsoring this episode!
The Gemini 2.5 family of models is now generally available. 2.5 Pro, the most advanced model, is great for reasoning over complex tasks; next up, 2.5 Flash finds the sweet spot between performance and price; and finally, 2.5 Flash Lite is ideal for low-latency, high-volume tasks. Start building in Google AI Studio at https://ai.dev/
LTX Studio is helping storytellers go from concept to delivery in one seamless platform. Whether you're storyboarding your next film, prototyping ad concepts, or creating pixel-ready assets, LTX Studio allows you to fully realize your imaginations. Check them out here: https://tinyurl.com/2d5nx3ut
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:
- Claire Vo: https://x.com/clairevo; @chiefproductofficer
- ChatPRD: https://www.chatprd.ai/; https://x.com/chatprd; https://www.linkedin.com/company/chatprd/; https://www.youtube.com/@ChatPRD
- Some of the AI tools that Claire used to build ChatPRD: http://Clerk.dev; https://tiptap.dev/
- Greeking Out, the Greek mythology podcast that Claire’s son enjoys: https://www.nationalgeographic.com/podcasts/greeking-out
Read Dan Shipper's essay on the allocation economy: https://every.to/chain-of-thought/the-knowledge-economy-is-over-welcome-to-the-allocation-economy
Guillermo Rauch is one of the most prolific coders of this generation.
But he doesn’t think of himself as a coder anymore.
Coding, he says, is a specific skill that AI is becoming great at. Instead, he thinks the future of coding is more holistic, full-stack engineers who can ideate, design, and execute all together.
Guillermo is the founder and CEO of Vercel, the creator of NextJS, and SocketIO. We spent an hour talking about the future of software development in an AI world—and the meta-skills that are essential for the coders of today to master—in order to use tomorrow’s tools to their fullest extent.
If you found this episode interesting, please like, subscribe, comment, and share!
Sponsors:
LTX Studio is helping storytellers go from concept to delivery in one seamless platform. Whether you're storyboarding your next film, prototyping ad concepts, or creating pixel-ready assets, LTX Studio allows you to fully realize your imaginations. Check them out here: https://tinyurl.com/2d5nx3ut
Attio is the AI-native CRM built for the next era of companies. With Attio, setup takes minutes. Connect your email and calendar, and it instantly builds a CRM that mirrors your business. Go to https://www.attio.com/every to get 15% off on your first year.
Want even more?
Read Dan Shipper's essay on developing taste with AI: https://every.to/chain-of-thought/what-i-do-when-i-can-t-sleep
Try Cora to manage your email with AI: https://cora.computer
Try Spiral to repurpose content with AI: https://spiral.computer
Try Sparkle to organize your files with AI: https://makeitsparkle.co
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
00:00:00 - Episode start
00:01:33 - Introduction
00:03:18 - How to spot trends early
00:07:34 - Why you should be your own customer
00:14:55 - How to create an ecosystem of talent and ambition
00:17:29 - Why Guillermo doesn't identify as a coder
00:20:50 - AI is gearing us toward an allocation economy
00:28:34 - How Vercel's copilot compares with other coding agents
00:40:35 - Guillermo's advice on having better taste
00:42:46 - The future of AI agents is specialized
00:47:50 - How AI startups can compete with big tech
Links to resources mentioned in the episode:
Guillermo Rauch: @rauchg
Vercel: https://vercel.com/
Last week’s episode with Nabeel Hyatt: https://every.to/podcast/the-venture-capitalist-who-only-makes-two-bets-a-year
Dan’s essay about the allocation economy: https://every.to/chain-of-thought/the-knowledge-economy-is-over-welcome-to-the-allocation-economy
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!
Sponsor:
Gemini: Experience high quality AI video generation with Google's most capable video model: Veo 3. Try it in the Gemini app at gemini.google with a Google AI Pro plan or get the highest access with the Ultra plan.
Want even more?
Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-.... 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: / danshipper
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_sp
Dwarkesh’s podcast and newsletter: https://www.dwarkeshpatel.com/; https://substack.com/@dwarkesh
Dwarkesh’s interview with researcher Andy Matuschak on spaced repetition: https://www.dwarkeshpatel.com/p/andy-...
The book about technology and society that both Dan and Dwarkesh are reading: Medieval Technology and Social Change
Dan’s interview with Reid Hoffman: https://every.to/chain-of-thought/rei...
The book by Will Durant that inspires Dwarkesh: Fallen Leaves https://www.amazon.com/Fallen-Leaves-...
One of the most interesting books Dwarkesh has read: The Great Divide https://www.amazon.com/Great-Divide-N...
Upcoming guests on Dwarkesh’s podcast: David Reich https://reich.hms.harvard.edu/ and Daniel Yergin https://www.danielyergin.com/
The smallest technical decisions become humanity's biggest pivots:
The same-origin policy—a well-intentioned browser security rule from the 1990s—accidentally created Facebook, Google, and every data monopoly since. It locks your data in silos—and you stayed where your stuff already is. This dynamic created aggregators.
Alex Komoroske—who led Chrome's web platform team at Google and ran corporate strategy at Stripe—saw this pattern play out firsthand. And he's obsessed with the tiny decisions that will shape AI's next 30 years:
Whether AI keeps memory centrally or user-controlled?
Is AI free/ad-supported or user-paid?
Should AI be engagement-maximizing or intention-aligned?
How should we handle prompt injection in MCP and agentic systems?
Should AI be built with AOL-style aggregation or web-style openness?
This is a much-watch if you care about the future of AI and humanity.
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:
Sponsors:
Google Gemini: Experience high quality AI video generation with Google's most capable video model: Veo 3. Try it in the Gemini app at gemini.google with a Google AI Pro plan or get the highest access with the Ultra plan.
Attio: Go to https://attio.com/every and get 15% off your first year on your AI-powered CRM.
Timestamps:
Links to resources mentioned in the episode:
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.
The internet backlash 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.
This week on AI & I, Josh and Hursh joined me for their first full-length podcast about their pivot from Arc to Dia. We talk 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?
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:
Sponsor:
Attio: Go to https://attio.com/every and get 15% off your first year on your AI-powered CRM.
Timestamps:
Links to resources mentioned in the episode:
You don’t need to handle your inbox anymore. It’s Cora’s job now.
Cora is the AI chief of staff we built for your email at Every. It’s been in private beta for the last 6 months and currently manages email for 2,500 beta users—and today we’re making it available for anyone to use. Start your free 7-day trial by going to: https://cora.computer/
Cora is the $150K executive assistant that costs $15/month. Or $20/month if you want an Every subscription, too. This is what that actually means:
In this episode of AI & I, I sat down with the team behind Cora—Brandon Gell, head of the product studio; Kieran Klaassen, Cora’s general manager; and Nityesh Agarwal, engineer at Cora—for a closer look at how it all came together. We talk about:
This is a must-watch if you’re curious about what it feels like to give Cora your inbox, and take back your life. Go to https://cora.computer/ to start your 7-day free trial 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.
Sponsor: Experience high quality AI video generation with Google's most capable video model: Veo 3. Try it in the Gemini app at gemini.google with a Google AI Pro plan or get the highest access with the Ultra plan.
To hear more from Dan Shipper:
Timestamps:
Links to resources mentioned in the episode:
Joe Hudson is a coach who works with the executives building AGI at OpenAI.
From inside OpenAI, he witnesses the full spectrum of human emotion that comes with bringing something new into the world—the exhilaration, the terror, the weight of it all. He feels these emotions, too: He believes AI will eventually replace what he does as a coach.
But instead of fixating on that fear, Hudson is asking a deeper question: Who is he becoming in the meantime? He believes that moments like this—when we can feel the ground quiver—can be powerful catalysts for transformation, but only if we’re willing to face the uncertainty they bring.
In this episode of AI & I, Dan Shipper sits down with Hudson to talk about how he’s answering that question. They get into what happens when the thing you’ve built your life around might disappear, how to find who you are beneath your professional identity, and why Hudson believes intention is the key to growing 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:
Sponsors:
Google Gemin: Experience high quality AI video generation with Google's most capable video model: Veo 3. Try it in the Gemini app at gemini.google with a Google AI Pro plan or get the highest access with the Ultra plan.
Attio: Go to https://attio.com/every and get 15% off your first year on your AI-powered CRM.
Timestamps:
Links to resources mentioned in the episode:
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?
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:
Sponsors:
Microsoft Teams
Want seamless collaboration without the cost? Microsoft Teams offers a robust free plan for individuals that delivers unlimited chat, 60-minute video meetings, and file sharing—all within one intuitive workspace that keeps your projects moving forward. Head to https://aka.ms/every to use Teams for free, and experience effortless collaboration, today.
Attio: Go to https://www.attio.com/every and get 15% off your first year on your AI-powered CRM.
Timestamps:
Links to resources mentioned in the episode: