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:

• Cora understands what’s important to you, screens your inbox, and only lets the most relevant emails through. 

• The rest of your emails are summarized in a beautifully designed brief that’s sent to you twice a day.

• If it has enough context, Cora drafts replies for you in your voice.

• You can talk to Cora like you would your chief of staff—you can give it special instructions on how you want certain emails handled, ask it to summarize things, and even give you an opinion on complex decisions.

  
  

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:

• The story of the first time Brandon, Kieran, and I used Cora, while sipping wine at the Every retreat in Nice. 

• The evolution of Cora’s categorization system, from a 4-hour vibe-coded prototype to a multi-faceted product with thousands of happy users.

• The features on Cora’s roadmap we’re most excited about: a unified brief across different email accounts, an iOS app, and an even more powerful assistant.

  
  

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:

• Subscribe to Every: https://every.to/subscribe 

• Follow him on X: https://twitter.com/danshipper 

  
  

Timestamps:

1. Introduction: 00:01:40

2. Three ways Cora transforms your inbox (and your day): 00:04:21

3. A live walkthrough of Cora’s features: 00:05:09

4. The inside story of the first time Kieran, Brandon, and Dan used Cora: 00:12:13

5. Train Cora like you would a trusted chief of staff: 00:16:30

6. The AI tools that blew our minds while building Cora: 00:27:25

7. How we build workflows that compound with AI at Every: 00:30:34

8. The dream features that we’d like to put on Cora’s roadmap: 00:42:36

Links to resources mentioned in the episode:

• Try Cora now with a 7-day free trial: https://cora.computer/ 

• The episode about how Kieran and Nityesh use Claude Code to build Cora: "How Two Engineers Ship Like a Team of 15 With AI Agents" 

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:

• Subscribe to Every: https://every.to/subscribe 

• Follow him on X: https://twitter.com/danshipper 

  
  

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:

1. Introduction: 00:01:49

2. What it feels like inside the room where AGI is being built: 00:03:14

3. The most important question to ask yourself as AGI approaches: 00:08:15

4. The importance of sitting with uncertainty: 00:17:49

5. How Joe is preparing his daughters for a post-AGI world: 00:21:11

6. How we think, feel, and react; the three layers of human awareness: 00:27:25

7. Staying grounded while coaching the people shaping our future: 00:35:34

8. Why Joe doesn’t take things personally—even when the stakes are high: 00:42:44

   
   

Links to resources mentioned in the episode:

• Joe Hudson: @FU_joehudson; 

• Learn more about the coaching and workshops that Joe runs: Art of Accomplishment

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:

• Subscribe to Every: https://every.to/subscribe 

• Follow him on X: https://twitter.com/danshipper

  
  

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:

1. Introduction: 00:01:16

2. Why Kieran believes agents are turning a corner: 00:03:18

3. Why Claude Code stands out from other agents: 00:06:36

4. What makes agentic coding different from using tools like Cursor: 00:11:58

5. The Cora team’s workflow to turn tasks into momentum: 00:15:20

6. How to build a prompt that turns ideas into plans: 00:23:07

7. The new mental models for this age of software engineering: 00:34:00

8. Why traditional tests and evals still matter: 00:39:13

9. Kieran ranks all the AI coding agents he’s used: 00:42:00

Links to resources mentioned in the episode:

• Try Cora, our AI email assistant: https://cora.computer/  

• Kieran Klaassen: @kieranklaassen

• Nityesh Agarwal: @nityeshaga

• The book that helps Nityesh form mental models to work with AI agents: High Output Management

• A guide to Anthropic’s prompt improver: https://www.anthropic.com/news/prompt-improver

OCD treatment changed my life—but it took me a decade of chasing down wrong answers to be diagnosed.

In the rush to create scalable treatments, disorders like depression and OCD are squeezed into diagnostic checklists—from which the complexity of the human mind invariably leaks out. The field of psychiatry is broken, and I spoke to someone on the inside about how AI can help fix it .

Awais Aftab has been questioning psychiatry’s rigid categories from inside the field. He’s a clinical assistant professor at Case Western Reserve University, editor of Conversations in Critical Psychiatry—an Oxford University Press volume that tackles philosophical and critical perspectives in psychiatry—and author of the Substack newsletter Psychiatry at the Margins. We get into how AI is transforming psychiatry by embracing the complexity of human minds instead of flattening 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 

  
  

Sponsor: 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.

Timestamps:

1. Introduction: 00:01:20

2. The case Awais makes for pluralistic thinking in psychiatry: 00:03:38

3. A pragmatic approach to mental healthcare: 00:15:30

4. Awais’s take on why my OCD diagnosis took 10 years: 00:19:04

5. Why psychiatry is stuck where machine learning was decades ago: 00:24:19

6. Why psychiatry’s focus should shift from explanations to predictions: 00:31:05

7. How Awais thinks AI is already changing the psychiatric profession: 00:39:19
   

Links to resources mentioned in the episode:

• Awais Aftab: @awaisaftab, awais aftab 

• Awais’s Substack: Psychiatry at the Margins

• The book Awais edited: Conversations in Critical Psychiatry

GitHub Copilot has 15 million users—more than Cursor and Windsurf combined. So why does it feel like they're losing the AI coding race?

Last week at Microsoft Build, I interviewed the CEO of GitHub Thomas Dohmke to find out.

I wanted to know: Is their huge existing user base a blessing or a curse? And will their latest launch—an autonomous coding agent built into GitHub—let them retake the lead? Watch this episode of AI & I to find out

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:

Attio: Go to⁠⁠⁠⁠ https://attio.com/every⁠⁠⁠⁠⁠ and get 15% off your first year on your AI-powered CRM.

To hear more from Dan Shipper:

• Subscribe to Every: https://every.to/subscribe 

• Follow him on X: https://twitter.com/danshipper 

  
  

Timestamps:

Introduction (00:00:38)

• Copilot’s place in the AI coding agent race (00:07:40)

• Inside the product decisions behind Copilot’s new agent (00:10:42)

• How Dohmke thinks about shaping Copilot’s personality (00:16:18)

• How GitHub supports both AI-native developers and legacy enterprise users (00:20:29)

Dohmke’s predictions for the future of software development (00:26:57)

I interviewed Microsoft CTO Kevin Scott about the future of agents and software engineering for another special edition of AI & I. 

With 41 years of programming behind him, Kevin has lived through nearly every big shift in modern software development. Here’s his clear-eyed take on what’s changing with AI, and how we can navigate what’s next:

• The real breakthrough for the agentic web is better plumbing. Kevin thinks agents won’t be useful until they can take action on your behalf by using tools and fetching data. To do this, agents need access across your systems—and Microsoft’s answer is adopting Model Context Protocol, or “MCP,” that allows an agent to access tools and fresh data beyond its knowledge base, as their standard protocol for agents to move through contexts and get things done.

• How the agentic web echoes the early internet. Just as protocols like HTTP and HTML gave the web a shared language, Kevin believes the  agentic web needs its own infrastructure—the first glimpses of this include MCP (the HTTP of agents) and NLWeb, Microsoft’s push to make websites legible to agents (similar to what HTML did for browsers).

• Open ecosystems can coexist with strong security systems. Kevin argues that the “tradeoff” between ecosystems that allow “permissionless” innovation and robust security is a false dichotomy. With AI agents that understand your personal risk preferences—and know your communication habits across email, text, and other channels—they could detect when something suspicious is happening and act on your behalf. 

• The craftsman’s dilemma in the age of agents. Kevin is a lifelong maker—of software, ceramics, even handmade bags—and he cares deeply about how things are made. Because this can feel at odds with coding with AI agents, Kevin’s approach is to notice where the process matters most to him, and where it's okay to optimize for outcomes. After four decades of seeing breakthrough technologies, his advice is simple: be curious, try stuff, and use it if it works for you.

• The future of software engineering agents is plural. Kevin believes the future of software engineering agents will be diverse because developers who enjoy the freedom of playing with different tools is one of the most consistent patterns he’s seen in his decades in tech. What will drive this diversity, he says, is builders who deeply understand specific problems and tailor agents to solve them exceptionally well.

• How agentic workflows will evolve. Kevin sees a shift from short back-and-forth interactions with agents to longer, async feedback loops. As the agentic web matures and model reasoning improves, people will start handing off bigger, more ambitious tasks and letting agents run with them.

  
  

Timestamps:

1. Introduction: 00:01:44

2. The race to close the “capability overhang”: 00:02:49

3. How agents will evolve into practical, useful tools: 00:04:31

4. The role Kevin sees Microsoft playing in the agent ecosystem: 00:06:48

5. How robust security measures can coexist with open ecosystems: 00:12:05

6. Kevin's philosophy on being a craftsman in the age of agents: 00:15:39

7. How the landscape of software development agents will evolve: 00:20:52

8. The future of agentic workflows: 00:25:33

OpenAI just launched Codex, a brand-new coding agent that can build features and fix bugs autonomously. We’ve been testing it at Every for a few days, and I’m impressed.

I invited Alexander Embiricos, a member of the OpenAI product staff responsible for Codex, to demo the agent live on a special edition of AI & I. We talk through:

• What Codex is and how it works. Codex’s UI allows developers to see the list of tasks the agent is working on, how many lines were changed for each, and the status of the PR. It’s built for the senior software engineer who wants to delegate and review tasks efficiently.

• How OpenAI is thinking about agents. Codex is one piece of a unified super-assistant OpenAI wants to eventually build—an agent that helps users easily get things done by selecting the right tools for them behind the scenes. 

• Why an “abundance mindset” is best for interacting with agents. Codex is designed to allow users to delegate many tasks at once without getting caught up in the details. This lets you point an abundance of agents at a specific task, like a difficult bug—it’s worth it even if only one of them succeeds.

• OpenAI’s vision for the future of programming. In the future developers will probably spend less time writing routine code and more time guiding agents, reviewing their work, and making strategy decisions. Programming will become more social, letting teams easily delegate multiple tasks at once, allowing people to focus on ideas and collaboration instead of routine coding.

  
  

Timestamps:

Will England just pivoted his $10B AUM hedge fund to go all in on AI with a firm-wide email:

“I wrote this email using ChatGPT—you should too. As a hedge fund, we should be ashamed to leave money on the table by ignoring AI.”

It’s working: 75% of his 400-person team are using ChatGPT daily—and Walleye is well on its way to transforming into an AI-first juggernaut. They record every meeting, use LLMs to ingest and analyze earnings reports, and are building “The Borg”—a firmwide intelligence layer.

What’s surprising? Will isn’t some AI hype man: He’s the CEO, CIO, and managing partner of Walleye Capital, a multi-strategy hedge fund competing with firms like Citadel, Millenium, and Point72. He’s Princeton and Oxford educated, but he’s based in Minnesota, doesn’t have an X account, and rarely gives interviews.

In my experience, teams go as their CEO goes—and Will is the best example of a CEO going all in on AI that I’ve seen. "It would be irresponsible not to go after AI with maximum discipline and intensity," Will told me—and in this episode he lays out his exact playbook for doing it.

We get into:

• Why AI is essential operating leverage. At Walleye, using AI is treated like using email or Excel. Ignoring it means getting left behind—in an industry where information = money, every edge counts. England makes this not optional for anyone, backed by internal leaderboards and cash incentives.

• How Will uses AI for journaling and decision-making. Will journals every day using ChatGPT, which helps him with everything from decision-making at work to reflecting on his family life to tracking his workouts. 

• How Will pivoted his billion dollar firm. Will’s commitment to AI isn’t theoretical—he announced AI as the new standard for work at Walleye, and made avoiding it unacceptable. 

• How to lead during times of technological change. Will leads with an ethic of personal responsibility: "If we get disrupted by AI, that's on me.”

• Why students of history do better at handling the future. Will sees today like the 1860s–1910s era—when the Industrial Revolution introduced factories and railroads and the skills and roles needed inside of companies transformed quickly.

• How Will uses AI to write faster. Will uses ChatGPT to help him draft emails or memos that would have taken hours in 15 minutes. He bullets out of his thoughts and then uses LLMs to turn that into polished prose. Having AI handle the linguistic syntax gives him more time for conceptual thinking.

This is a must-watch for anyone who wants to lead a team through change with clarity and conviction.  

Sponsor:

Attio: Go to⁠⁠⁠ https://www.⁠⁠⁠⁠attio.com/every⁠⁠⁠⁠ and get 15% off your first year on your AI-powered CRM.

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:

1. Introduction: 00:00:51

2. What pushed Will to go all in on AI: 00:03:25

3. Inside the ‘AI-first’ memo Will shared at Walleye: 00:14:08

4. Why you shouldn’t be afraid of using AI for work: 00:15:56

5. How Will uses LLMs to sharpen his thinking: 00:31:01

6. Walleye’s approach to using AI to reduce risk: 00:35:32

7. What history can teach us about leading through change: 00:39:10

8. Will’s first principles to making better decisions: 00:56:45

9. Why Will journals everyday—and how AI makes it easier: 00:58:58 

   
   

Links to resources mentioned in the episode:

• Will England: https://walleyecapital.com/bio/will-england 

• Walleye Capital: https://walleyecapital.com/ 

• Work with Every’s consulting team: https://every.to/consulting  

• Everything we’ve learned from consulting with clients like Walleye: "How We Built a 7-figure AI Consulting Business in Less Than a Year"
  

After two Jhana meditation retreats Nadia Asparouhova could silence her mind, change her emotional state at will, and even intentionally slip out of consciousness. It challenged the idea that our minds are not under our control—and made her wonder if we’re more like AI than we realize. 

Nadia is a writer and researcher of technology and culture. She published Working in Public, a book about the evolution of open-source development, with Stripe Press in 2020. Her latest book, Antimemetics, is about why some ideas don’t go viral even though they’re powerful. 

I had her on the show to talk about her experience with Jhana meditation and how it reshaped the way she thinks about being human in the age of AI. We get into:

• Jhana as a means to nurture profound joy and calm. Unlike many meditation practices that emphasize passive observation, Jhana is goal-oriented—practitioners proactively cultivate states of concentrated bliss. Apart from helping her regulate her emotions, it prompted Nadia to reexamine deep questions of our human existence. 

• Self-talk is not essential as it seems. Nadia describes how advanced meditation quieted her inner voice—challenging the idea that self-talk is core to being human.

• How years of cultural evolution have shaped our sense of self. According to Nadia, our modern conception of “self”  isn’t as timeless as we assume. She draws on psychologist Julian Jaynes’s theory that our inner dialogue—what we often equate with consciousness—only emerged in humans a few thousand years ago; a provocation to reconsider the benchmarks we use to assess the intelligence or sentience of LLMs.

• What it is like to experience a “cessation.” On her last meditation retreat, Nadia experiences a cessation where your consciousness abruptly winks out—like suddenly flipping a switch. Nadia described it as slipping into nothingness, then returning with the jarring realization that even your sense of self can vanish and reappear.

• Why she likes the unknowability of AI. The mechanics of exactly how LLMs predict their next token remain a mystery. Driven by thousands of subtle, context-dependent correlations, they’re too complex to distill into a simple explanation. Nadia finds joy in the unknowability of it all, seeing the ambiguity as an invitation to explore. 

• How she uses AI as a writing partner. Nadia believes the trope of the solitary, brooding writer is beginning to shift with the rise of LLMs. For her, ChatGPT has made writing feel less isolating. She turns to it at both ends of the process: to help make sense of early ideas, and later, to sharpen phrasing and land on just the right words.

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 

Timestamps:

1. Introduction: 00:01:15

2. The beginning of Nadia’s journey with Jhana: 00:02:34

3. How Jhana is different from other meditation practices: 00:05:51 

4. Jhana reframed the way Nadia thinks about being human: 00:09:52

5. How Nadia integrates her experience with Jhana into her life: 00:14:16

6. Nadia describes her experience of the final stage of Jhana: 00:16:44

7. Why our modern sense of self isn’t as timeless as you might assume: 00:19:11

8. How new technologies can be a mirror to ourselves: 00:23:53

9. Nadia embraces the feeling of not knowing how AI precisely works: 00:33:55

10. How Nadia uses ChatGPT to make writing less isolating: 00:38:03

Links mentioned:

• Nadia Asparouhova: https://nadia.xyz/ 

• Her deep dive on Jhana meditation: https://nadia.xyz/jhanas 

• Nadia’s book: Working in Public, Antimemetics

• Books about how new technology can change our sense of self: The WEIRDest People in the World, Listening to Prozac

Sarah Tavel thinks it's criminal that ChatGPT isn’t inherently social.

There’s no easy way to discover great prompts or share the ones that worked. As a venture partner at Benchmark, Sarah believes that the next wave of consumer AI will be built on this missing social layer—by product-driven founders who understand people, not just models. 

Sarah has seen this shift before. As one of Pinterest’s first product managers, she saw the company grow from a niche consumer tool to a beloved global community. On this episode of Every's podcast AI & I, we talk about how she’s applying the lessons she learned to AI—and what it takes to build a breakout consumer AI app today.

We get into:

• Why product geniuses win as new tech matures. In the early days of a new technology, companies win by wrangling raw innovation into something usable. But as the infrastructure matures, Sarah says the edge shifts to product thinkers—founders who turn new capabilities into delightful user experiences.

• The future of prompting is social. When Sarah had to dig through Reddit to find a prompt to help her interpret her blood test results, she saw a gap: The best prompt creators are invisible. Sarah bets that a social AI product that makes them discoverable and followable would gain traction.

• Sarah’s method to spot exceptional founders. Sarah backs founders for whom building a company feels like a calling—or even an affliction. These are people who have fallen in love with the process and are obsessed with learning how to grow alongside their companies.

• How to tell if your startup really has network effects. Founders raising money love to say that their business has “network effects.” Sarah has learned to look for early signs they’re real—like traction in a small, white-hot segment of the market. If there’s no evidence the flywheel is already starting to spin, it’s probably not a network effect.

• How LLMs change the way the best VCs invest. Sarah thinks the future of venture will be shaped by how well VCs can turn the decisions they make into training data. After every pitch, she logs what she liked, what she didn’t, the deal terms, and her reasoning. Over time, she’s building a dataset of her own judgment—one an LLM could help her use to pressure-test decisions and avoid past mistakes.

  
  

This is a must-listen for if you’re building a consumer AI product and want to see ahead of the curve.

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://www.⁠⁠⁠⁠attio.com/every⁠⁠⁠ and get 15% off your first year on your AI-powered CRM.

Timestamps:

1. Introduction: 00:01:10

2. Why the future of consumer AI belongs to founders with product intuition: 00:02:26

3. What Sarah sees as ChatGPT’s biggest weakness: 00:11:09

4. How Sarah would design a consumer AI app with social DNA: 00:18:45

5. The kind of founders Sarah invests in: 00:25:04

6. How to know if your startup’s network-effects are real: 00:29:26

7. What’s catching Sarah’s eye beyond AI: 00:36:33

8. How AI will change the way top venture capitalists invest: 00:41:35

Links to resources mentioned in the episode:

• Sarah Tavel: @sarahtavel

• Sarah’s substack: https://www.sarahtavel.com/ 

• Eugene Wei’s essay about Status-as-a-Service: https://www.eugenewei.com/blog/2019/2/19/status-as-a-service 

• The book Sarah talks about in the context of founders who become CEOs in pursuit of status: The Five Temptations of a CEO