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
Learn how to use philosophy to run your business more effectively
Reid Hoffman thinks a masters in philosophy will help you run your business better than an MBA.
Reid is the cofounder of LinkedIn, a partner at venture capital firm Greylock Partners, the host of the Masters of Scalepodcast, and a prolific author. But before he did any of these things, Reid studied philosophy—and by helping him understand how to think, it made him a better entrepreneur.
A good student of philosophy rigorously engages with questions about truth, human nature, and the meaning of life, and, over time, learns how to think clearly about the big picture. This is a powerful tool for founders faced with existential questions about their product, consumers, and competitors, and enables them to respond with well-reasoned answers and enviable clarity of thought.
This show is usually about the actionable ways in which people have incorporated ChatGPT into their lives, but in this episode, I sat down with Reid to tackle a deeper question: How is AI changing what it means to be human? How might it change the way we see ourselves and the world around us?
This episode is a must-watch for anyone curious about some of the bigger questions prompted by the rapid development of AI.
Thanks again to our sponsor CommandBar, the first AI user assistance platform, for helping make this video possible. https://www.commandbar.com/copilot/
If you found this episode interesting, please like, subscribe, comment, and share!
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Sign up for Every to unlock our 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:
Reid Hoffman: @reidhoffman
The podcast Reid hosts: Masters of Scale
Reid’s book: Impromptu
The book Reid recommends if you want to be more philosophically inclined: Gödel, Escher, Bach
Reid’s article in the Atlantic: "Technology Makes Us More Human"
The book about why psychology literature is wrong: The WEIRDest People in the World by Joseph Henrich
The book about how culture is driving human evolution: The Secrets of Our Success by Joseph Henrich
Seth-Stephens Davidowitz wrote a book in 30 days—and he did it with ChatGPT.
Seth is a data scientist, economist, and author who challenged himself to write a book—Who Makes the NBA?—in less than 1 month after realizing how fast he could work by using ChatGPT plugin Advanced Data Analysis.
But along the way he discovered something else: Writing with AI wasn’t just faster, it was also way more fun.
Seth outsourced the boring parts of data analysis—like cleaning data, merging files, and looking up code snippets—to AI. This left him to focus on what he loves: thinking up questions to ask the dataset.
In a world where AI can answer any question humans know the answer to, asking the right questions is becoming increasingly important—a skill Seth isn’t just really good at, but also finds joy in.
In this episode, Seth walks me through how he used AI to analyze data and write a book in 30 days. We get into:
We also use ChatGPT to analyze a dataset of Olympic athletes live on the show—in pursuit of finding out which sport I’m best suited for!
This episode is a must-watch for anyone curious about data science and how AI is transforming the future of creativity (or who is just a fan of the NBA).
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. 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:
Seth Stephens-Davidowitz: https://twitter.com/SethS_D http://sethsd.com
Seth’s books: Who Makes the NBA? , Everybody Lies and Don’t Trust Your Gut
Seth-Stephens Davidowitz wrote a book in 30 days—and he did it with ChatGPT.
Seth is a data scientist, economist, and author who challenged himself to write a book—Who Makes the NBA?—in less than 1 month after realizing how fast he could work by using ChatGPT plugin Advanced Data Analysis.
But along the way he discovered something else: Writing with AI wasn’t just faster, it was also way more fun.
Seth outsourced the boring parts of data analysis—like cleaning data, merging files, and looking up code snippets—to AI. This left him to focus on what he loves: thinking up questions to ask the dataset.
In a world where AI can answer any question humans know the answer to, asking the right questions is becoming increasingly important—a skill Seth isn’t just really good at, but also finds joy in.
In this episode, Seth walks me through how he used AI to analyze data and write a book in 30 days. We get into:
- How to create and edit complex charts with AI in seconds
- Using ChatGPT to brainstorm creative ideas
- How AI is redefining who can be an artist
- Why ChatGPT is an excellent tool to get a quick ballpark estimate
- Developing a sixth sense about when ChatGPT is wrong
- The power of AI instantly answering hard questions that would normally take months of research
We also use ChatGPT to analyze a dataset of Olympic athletes live on the show—in pursuit of finding out which sport I’m best suited for!
This episode is a must-watch for anyone curious about data science and how AI is transforming the future of creativity (or who is just a fan of the NBA).
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. 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:
Seth Stephens-Davidowitz: https://twitter.com/SethS_D http://sethsd.com
Seth’s books: Who Makes the NBA? , Everybody Lies and Don’t Trust Your Gut
Nicholas Thorne is building Squarespace for the AI age. It’s called Audos, and it’s an AI chatbot to help any entrepreneur go from idea to:
- Pitch deck
- Working website
- Custom GPT
- User interviews with real customers
All in just a few minutes. And he did it using ChatGPTapp. It’s AI all the way down—and it’s one of the most impressive AI businesses I’ve ever seen.
Nicholas is a general partner at Prehype, an incubator that launched Barkbox and Ro Health. It’s also where I started Every, so it was great to come full circle.
Nicholas’s job at Prehype is to launch new companies. He’s taken everything he’s learned running an incubator and used it to help entrepreneurs start businesses at scale—with AI.
As we talk, Nicholas walks me through the interactions of Audos’s chatbot with a user live on the show.
Nicholas tells me that he used ChatGPT to prototype most of Audos’s features—despite being non-technical himself. He shares exactly how he did this by showing me how he’s using AI to create a new feature for the product. We get into: - Ways AI can make you a more effective founder - How to use ChatGPT to build your prototype - Strategies to refine problem statements with AI - Using GPTs to gather and synthesize customer feedback This episode is a must-watch for anyone who has ever toyed with the idea of starting a business—and wants to do it 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. It’s usually only for paying subscribers, but you can get it here for free: https://every.ck.page/ultimate-guide-to-prompting-chatgpt 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 - Teaser 00:00:48 - Introduction 00:12:10 - How AI can make you a more effective founder 00:17:03 - Live demo of Audos! 00:24:07 - Why Nicholas built an AI tool to enable entrepreneurs 00:25:35 - How Audos puts you in “edit mode” instead of “create mode” 00:28:12 - Tools to gather customer feedback, generated by Audos 00:32:58 - How Audos actually works 00:35:07 - Nicholas uses ChatGPT to prototype a new feature 00:42:37 - How to establish checks and balances while using ChatGPT 00:57:20 - AI as a force for pushing entrepreneurship to new heights Links to resources mentioned in the episode: Nicholas Thorne: @thorneny; nicholas@prehype.com Audos: https://www.audos.com/ Nicholas’s book, Me, My Customer, and AI, is slated to publish next month. Follow him on X for updates: https://mmcai.super.site/
Nicholas Thorne is building Squarespace for the AI age. It’s called Audos, and it’s an AI chatbot to help any entrepreneur go from idea to:
- Pitch deck
- Working website
- Custom GPT
- User interviews with real customers
All in just a few minutes. And he did it using ChatGPTapp. It’s AI all the way down—and it’s one of the most impressive AI businesses I’ve ever seen.
Nicholas is a general partner at Prehype, an incubator that launched Barkbox and Ro Health. It’s also where I started Every, so it was great to come full circle.
Nicholas’s job at Prehype is to launch new companies. He’s taken everything he’s learned running an incubator and used it to help entrepreneurs start businesses at scale—with AI.
As we talk, Nicholas walks me through the interactions of Audos’s chatbot with a user live on the show.
Nicholas tells me that he used ChatGPT to prototype most of Audos’s features—despite being non-technical himself. He shares exactly how he did this by showing me how he’s using AI to create a new feature for the product.
We get into:
- Ways AI can make you a more effective founder
- How to use ChatGPT to build your prototype
- Strategies to refine problem statements with AI
- Using GPTs to gather and synthesize customer feedback
This episode is a must-watch for anyone who has ever toyed with the idea of starting a business—and wants to do it 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. It’s usually only for paying subscribers, but you can get it here for free: https://every.ck.page/ultimate-guide-to-prompting-chatgpt
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 - Teaser
00:00:48 - Introduction
00:12:10 - How AI can make you a more effective founder
00:17:03 - Live demo of Audos!
00:24:07 - Why Nicholas built an AI tool to enable entrepreneurs
00:25:35 - How Audos puts you in “edit mode” instead of “create mode”
00:28:12 - Tools to gather customer feedback, generated by Audos
00:32:58 - How Audos actually works
00:35:07 - Nicholas uses ChatGPT to prototype a new feature
00:42:37 - How to establish checks and balances while using ChatGPT
00:57:20 - AI as a force for pushing entrepreneurship to new heights
Links to resources mentioned in the episode:
Nicholas Thorne: @thorneny; nicholas@prehype.com
Audos: https://www.audos.com/
Nicholas’s book, Me, My Customer, and AI, is slated to publish next month. Follow him on X for updates: https://mmcai.super.site/
Antidepressants changed my life.
I have OCD and antidepressants did what nearly a decade of therapy, meditation, and supplements couldn’t: they allowed me to live my life without being in a 24/7 spiral. (Bonus: they actually made therapy and meditation far more helpful once they started to work.)
I think antidepressants are seriously misunderstood. Yes, they blunt negative emotions. But they also operate on personality and sense of self: they can make you bolder, less sensitive to failure, and less risk-averse.
In short: they are a technology that changes how we see ourselves and the world.
That’s why I invited Dr. Peter D. Kramer on my show. Dr. Kramer is a psychiatrist and the author of eight books, including Listening to Prozac, which is an international bestseller. He has practiced psychiatry and taught psychotherapy at Brown University for nearly four decades.
Listening To Prozac is one of my favorite books, and it documents Dr. Kramer’s experiences as a psychiatrist seeing how antidepressants like Prozac changed his patients’ sense of self and personality.
Now, you might be wondering why have him on a show about ChatGPT? Well,technology can change who we areeven if it comes as a software product rather than a pill. It’s undoubtedly true that as generations of humans learn to live with AI, it will change what it means to be human—and how we see ourselves and the world. I think that can be a good thing, but it could also be scary.
I wanted to talk to Dr. Kramer about his book, and see if we could apply some of his insights in Prozac to ChatGPT. It was an incredible conversation, and I was honored to talk to him.
Want even more?
Sign up for Every to unlock our 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:
To learn more about the topics in this episode:
Timestamps:
Links to resources mentioned in the episode:
Antidepressants changed my life.
I have OCD and antidepressants did what nearly a decade of therapy, meditation, and supplements couldn’t: they allowed me to live my life without being in a 24/7 spiral. (Bonus: they actually made therapy and meditation far more helpful once they started to work.)
I think antidepressants are seriously misunderstood. Yes, they blunt negative emotions. But they also operate on personality and sense of self: they can make you bolder, less sensitive to failure, and less risk-averse.
In short: they are a technology that changes how we see ourselves and the world.
That’s why I invited Dr. Peter D. Kramer on my show. Dr. Kramer is a psychiatrist and the author of eight books, including Listening to Prozac, which is an international bestseller. He has practiced psychiatry and taught psychotherapy at Brown University for nearly four decades.
Listening To Prozac is one of my favorite books, and it documents Dr. Kramer’s experiences as a psychiatrist seeing how antidepressants like Prozac changed his patients’ sense of self and personality.
Now, you might be wondering why have him on a show about ChatGPT? Well,technology can change who we areeven if it comes as a software product rather than a pill. It’s undoubtedly true that as generations of humans learn to live with AI, it will change what it means to be human—and how we see ourselves and the world. I think that can be a good thing, but it could also be scary.
I wanted to talk to Dr. Kramer about his book, and see if we could apply some of his insights in Prozac to ChatGPT. It was an incredible conversation, and I was honored to talk to him.
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. 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
To learn more about the topics in this episode:
Listening to Prozac by Peter D. Kramer
ChatGPT and the Future of the Human Mind by Dan Shipper
SSRIs by Scott Alexander
Links to resources mentioned in the episode:
Dr. Peter D. Kramer: https://twitter.com/PeterDKramer
ChatGPT and the Future of the Human Mind by Dan Shipper: https://every.to/chain-of-thought/chatgpt-and-the-future-of-the-human-mind
Listening to Prozac by Dr. Kramer: https://www.amazon.com/Listening-Prozac-Landmark-Antidepressants-Remaking/dp/0140266712
Should You Leave? by Dr. Kramer: https://www.amazon.com/Should-You-Leave-Psychiatrist-Autonomy/dp/0140272798
Against Depression by Dr. Kramer: https://www.amazon.com/Against-Depression-Peter-D-Kramer/dp/0143036963
Ordinarily Well by Dr. Kramer: https://www.amazon.com/Ordinarily-Well-Antidepressants-Peter-Kramer/dp/0374536961
Pierre Menard, Author of the Quixote by Jorge Luis Borges: https://raley.english.ucsb.edu/wp-content/Engl10/Pierre-Menard.pdf
The Soul of A New Machine by Tracy Kidder: https://www.amazon.com/Soul-New-Machine-Tracy-Kidder/dp/0316491977
Making Hay by Verlyn Klinkenborg: https://www.amazon.com/Making-Hay-Verlyn-Klinkenborg/dp/0941130185
Oranges by John McPhee: https://www.amazon.com/Oranges-John-McPhee/dp/0374512973
You can build and run a one-person internet business that earns half a million in annual revenue—with AI.
Ben Tossell showed me exactly how in this episode. Ben is the founder of Ben’s Bites—one of the best daily AI newsletters out there, which I love reading every day—and an investor in a number of promising early-stage AI startups. Ben is also an experienced founder whose no-code platform Makerpad was acquired by Zapier.
I think Ben is really good at starting profitable internet businesses that are sneakily big, but don’t require too many resources. Over the last couple of years, he’s assembled a war chest of AI tools including ChatGPT, Claude, Gemini, Lex, and Supernormal to help him do this. In this episode, we get into the weeds of how Ben has integrated AI into his workflow to find new business opportunities, run them well, and evaluate their performance.
We get into:
- How to use ChatGPT as a business strategist
- Building your MVP with ChatGPT
- Turning interview transcripts into compelling articles
- Analyzing business data using AI tools
- How to generate persuasive landing page copy with ChatGPT
- Offload time-consuming tasks to AI
This episode is a must-watch for anyone who is curious about using AI to bootstrap a profitable internet business.
Want even more?
Sign up for Every to unlock our 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:
- Ben Tossell: https://twitter.com/bentossell
You can build and run a one-person internet business that earns half a million in annual revenue—with AI.
Ben Tossell showed me exactly how in this episode. Ben is the founder of Ben’s Bites—one of the best daily AI newsletters out there, which I love reading every day—and an investor in a number of promising early-stage AI startups. Ben is also an experienced founder whose no-code platform Makerpad was acquired by Zapier.
I think Ben is really good at starting profitable internet businesses that are sneakily big, but don’t require too many resources. Over the last couple of years, he’s assembled a war chest of AI tools including ChatGPT, Claude, Gemini, Lex, and Supernormal to help him do this. In this episode, we get into the weeds of how Ben has integrated AI into his workflow to find new business opportunities, run them well, and evaluate their performance.
We get into:
This episode is a must-watch for anyone who is curious about using AI to bootstrap a profitable internet business.
Want even more?
Sign up for Every to unlock our 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:
Ben Tossell: https://twitter.com/bentossell
I made the greatest trade of my life with Jesse Beyroutey in 2019. We bought Nvidia shares when they were trading at $33. They’re worth nearly $800 today.
I sat down with Jesse to top that trade in 90 minutes using Gemini Pro 1.5’s incredible 1 million token context window—and make a $1,000 trade live on the show.
Jesse is a managing partner at IA Ventures, a $600 million venture fund with seed investments in companies like Wise and Digital Ocean. He’s also a very close friend and one of the smartest people I know.
We unpack our investment thesis for our Nvidia trade and leverage the power of Gemini Pro 1.5 and ChatGPT to orchestrate what we hope will be the best trade of our lives. We put our money where our mouth is and make a $1,000 trade while the cameras are still rolling.
There’s a plot twist at the end of this episode—so stick around to see the epilogue Jesse and I recorded just days after we made our investment.
We get into:
This is not investment advice, but it’s a must-watch for anyone who wants to leverage the power of AI to make smarter financial decisions.
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. 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:
Follow Jesse Beyroutey
Nathan Labenz’s podcast, The Cognitive Revolution
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