Stay ConnectedThe Every Podcast is Every’s flagship show. Co-hosts Dan Shipper and Natalia Quintero talk with founders, researchers, writers, and operators about what they’re building and how they use AI in their own work. The show also takes you behind the scenes at Every. We share how our team is using and exploring AI, including what we’re trying, what’s working, and what we’re learning along the way.
Formerly known as AI & I.
Read more at every.to.
Copyright: © Dan Shipper
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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!
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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
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
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. 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:
- Dwarkesh’s podcast and newsletter
- Dwarkesh’s interview with researcher Andy Matuschak on spaced repetition
- The book about technology and society that both Dan and Dwarkesh are reading: Medieval Technology and Social Change
- Dan’s interview with Reid Hoffman
- The book by Will Durant that inspires Dwarkesh: Fallen Leaves
- One of the most interesting books Dwarkesh has read: The Great Divide
- Upcoming guests on Dwarkesh’s podcast: David Reich and Daniel Yergin
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:
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:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
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:
Introduction: 00:01:45
Why chatbots are a feature not a paradigm: 00:04:25
Toward AI that’s aligned with our intentions: 00:06:50
The four pillars of “intentional technology”: 00:11:54
The type of structures in which intentional technology can thrive: 00:14:16
Why ChatGPT is the AOL of the AI era: 00:18:26
Why AI needs to break out of the silos of the early internet: 00:25:55
Alex’s personal journey into systems-thinking: 00:41:53
How LLMs can encode what we know but can’t explain: 00:48:15
Can LLMs solve the coordination problem inside organizations: 00:54:35
The under-discussed risk of prompt injection: 01:01:39
Links to resources mentioned in the episode:
Alex Komoroske: @komorama
Common Tools: https://common.tools/
The public Google document with Alex’s raw ideas and thoughts: Bits and Bobs
A couple of Alex’s favorite books: Why Information Grows by Cesar Hidalgo and The Origin of Wealth by Eric Beinhocker
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:
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:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Sponsor:
Attio: Go to https://attio.com/every and get 15% off your first year on your AI-powered CRM.
Timestamps for Spotify:
Introduction: 00:01:13
The story of how Dan might’ve been the CEO of The Browser Company: 00:02:47
The moment Josh and Hursh knew they had to walk away from Arc: 00:09:42
How to handle the weight of the unknown in a pivot: 00:17:08
The prototype-driven culture that kept The Browser Company alive: 00:23:31
Why having a product loved by millions of users isn’t enough :00:25:42
The architectural decisions underlying how Dia was built: 00:33:29
How Dia almost shipped without its best feature: 00:47:12
The best ways people are using Dia in the wild: 00:51:18
How Josh and Hursh think about competing with incumbents: 01:07:55
How romanticism informs the product decisions behind Dia: 01:17:04
Links to resources mentioned in the episode:
Hursh Agrawal: @hursh
Josh Miller: @joshm
More about Dia: https://www.diabrowser.com/
Writer and investor M.G. Siegler’s essay about the AI browser wars: https://spyglass.org/ai-browser-wars/
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:
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