
56 segments available
Dan Shipper is the co-founder and CEO of Every. With just 15 people, Every publishes a daily AI newsletter, ships multiple AI products, and operates a million-dollar-a-year consulting arm—all while their engineers write virtually zero code. It’s the most radical example of AI-first operations, and Dan is a prolific writer who has become a leading voice on how AI is transforming the way we build and work. *Learn:* 1. Why Dan thinks AI won’t steal jobs en masse—and may actually reshore many jobs to the U.S. 2. The most underrated AI tool for non-programmers 3. An inside look at Every’s AI-first workflow 4. Why every company needs an “AI operations lead” 5. How Dan’s team uses an arsenal of AI agents (Claude, Codex, “Friday,” “Charlie”) in parallel, treating each AI like a specialist with unique strengths 6. Why generalists will thrive in an AI-first world, as rigid job titles blur and everyone becomes a “manager” of AI tools 7. Dan’s playbook for making any company AI-first—from the CEO setting the example, to hosting internal prompt-sharing sessions, to upskilling teams on AI tools *Brought to you by:* CodeRabbit—Cut code review time and bugs in half. Instantly: https://coderabbit.link/lenny DX—A platform for measuring and improving developer productivity: https://getdx.com/lenny PostHog—How developers build successful products: https://posthog.com/lenny *Transcript:* https://www.lennysnewsletter.com/p/inside-every-dan-shipper *My biggest takeaways (for paid newsletter subscribers):* https://www.lennysnewsletter.com/i/167681269/my-biggest-takeaways-from-this-conversation *Where to find Dan Shipper:* • X: https://x.com/danshipper • LinkedIn: https://www.linkedin.com/in/danshipper/ • Podcast: https://every.to/podcast *Where to find Lenny:* • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ *In this episode, we cover:* (00:00) Welcome and introduction (04:04) Hot takes on AI and job reshoring (07:06) The power of Claude Code for non-coders (14:35) The future of AI in business operations (18:45) AI’s role in enhancing human skills (22:26) The evolution of AI tools and their applications (25:40) Building an AI-first company (29:50) Innovative AI operations and team dynamics (35:35) Dan's AI stack (41:26) Compounding engineering (48:29) The impact of AI on learning and development (50:10) Accelerating career growth with AI (51:36) Revolutionizing code review and workflow (53:07) The importance of coding knowledge (57:26) Building AI-driven products (01:02:01) Innovative fundraising strategies (01:08:45) Consulting and AI adoption in companies (01:17:01) The allocation economy and future skills (01:20:12) The value of generalists in the AI age (01:24:07) Lightning round and final thoughts *Referenced:* • Claude Code: https://www.anthropic.com/claude-code • Gemini CLI: https://blog.google/technology/developers/introducing-gemini-cli-open-source-ai-agent/ • Microsoft Copilot: https://copilot.microsoft.com/ • Cursor: https://www.cursor.com/ • Base44: https://base44.com/ • Solo founder, $80M exit, 6 months: The Base44 bootstrapped startup success story | Maor Shlomo: https://www.lennysnewsletter.com/p/the-base44-bootstrapped-startup-success-story-maor-shlomo • The rise of Cursor: The $300M ARR AI tool that engineers can’t stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell • Plato’s Argument Against Writing: https://fs.blog/an-old-argument-against-writing/ • From ChatGPT to Instagram to Uber: The quiet architect behind the world’s most popular products | Peter Deng: https://www.lennysnewsletter.com/p/the-quiet-architect-peter-deng • Granola: https://www.granola.ai/ • Tobi Lutke’s post on X about context engineering: https://x.com/tobi/status/1935533422589399127 • Tobi Lütke’s leadership playbook: Playing infinite games, operating from first principles, and maximizing human potential (founder and CEO of Shopify): https://www.lennysnewsletter.com/p/tobi-lutkes-leadership-playbook • Every: https://every.to/ • Cora: https://www.cora.computer/ • Sparkle: https://makeitsparkle.co/ • Spiral: https://spiral.computer/ • Lex: https://lex.page/ • Nathan Baschez on LinkedIn: https://www.linkedin.com/in/nbashaw/ • Kate Lee on LinkedIn: https://www.linkedin.com/in/kate-lee-506768/ • Katie Parrott on LinkedIn: https://www.linkedin.com/in/katieparrott/ • Animalz: https://www.animalz.co/ • Rachel Woods on X: https://x.com/rachel_l_woods • Nityesh Agarwal on LinkedIn: https://www.linkedin.com/in/nityeshaga • Claude Opus 4: https://www.anthropic.com/claude/opus *...References continued at:* https://www.lennysnewsletter.com/p/inside-every-dan-shipper _Production and marketing by https://penname.co/._ _For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com._ Lenny may be an investor in the companies discussed.
Dan Shipper introduces Every, a company at the forefront of AI-driven operations. With a small team, they leverage AI to automate workflows and enhance productivity without traditional coding. Dan shares insights on how AI is reshaping business practices and the unique strategies his team employs to maximize efficiency.
"The business you're building, the team you're building, the way you're operating is the very bleeding edge of how companies are trying to operate in this AI era. We have a head of AI operations. S..."
Dan discusses his controversial belief that AI could actually lead to the reshoring of American jobs rather than mass unemployment. He explains how AI can make services more affordable for small businesses, potentially increasing demand for local jobs and enhancing productivity for American workers.
"bundle. With that, I bring you Dan Shipper. This episode is brought to you by CodeRabbit, the AI code review platform transforming how engineering teams ship faster with AI without sacrificing co..."
Dan highlights the capabilities of Claude Code, an AI tool that empowers non-coders to automate tasks using a command-line interface. He emphasizes its potential for processing large amounts of text and how it can assist in various tasks, making it an underrated resource for non-technical users.
"Thank you for having me. I've obviously been a huge fan for a long time and so it's an honor to be here. It's my honor, Dan. I feel like this is a podcast that was meant to be. I'm so happy we'r..."
Dan shares his personal experience using Claude Code to enhance his writing by analyzing Tolstoy's 'War and Peace.' He explains how AI can extract insights from literature and improve character descriptions, showcasing its utility for writers and content creators.
"I like optimistic takes about AI, so this is great. And to your point, TBD if this is good for other countries, but good for the US. What else? What else you got? What other hot takes? Okay. Anoth..."
The conversation shifts to practical applications of AI in daily life. Dan discusses how AI tools can assist with reading comprehension and data analysis, making them valuable for professionals across various fields. He encourages listeners to embrace AI as a collaborative partner in their work.
"So as a simple way to think about this, you basically have an agent on your local computer that can read your local files and do your bidding. Yes, exactly. And it can do that for long amounts of..."
Dan presents his definition of Artificial General Intelligence (AGI) based on the autonomy of AI agents. He draws parallels between human development and AI capabilities, suggesting that AGI will be defined by the economic viability of running autonomous agents continuously.
"I think they absolutely will. And I also think probably the model companies are going to start making this more accessible. I think one of the things that will just come from Claude Code and oth..."
Dan critiques common misconceptions about AI, particularly the fear that it will replace jobs. He argues that using AI is a skill that enhances human capabilities rather than diminishes them, and he reflects on historical perspectives regarding technology's impact on human skills.
"your caregiver. There's no difference between you and her or you and whoever your caregiver is. And growing up is this process of being gradually let down in certain moments where you can handle ..."
Dan reflects on the historical trade-offs of adopting new technologies, such as writing impacting memory. He argues that while AI may reduce engagement in some tasks, it can enhance engagement in others, leading to greater productivity. This segment emphasizes the need to understand the broader implications of AI on cognitive skills and work dynamics.
"that will be totally and completely different. For the student example or the "AI turns your brain off" example, I think it's really important to understand that in the history of technology, it ..."
Dan discusses the tendency to underestimate how quickly technology can change industries. He uses the example of a local tailor who doesn't accept credit cards to illustrate the slow adoption of new technologies. This segment highlights the complexities of integrating AI into existing workflows and the challenges of replacing traditional work practices.
"to students with these studies in Nigeria and just how fast people progress. So I think it's really important, this context you're sharing that you will lose some things, but the hope is the gai..."
In this segment, Dan introduces the concept of 'context engineering,' which he describes as crucial for AI performance. He shares his experience testing AI models against his meeting transcripts, revealing the challenges of getting AI to understand specific contexts. This discussion underscores the importance of providing the right context to AI for optimal results.
"how to deal with. And just because you can get a really good score on a test... It's incredible. I love AI, it's so incredible, but it doesn't actually give you an intuition for how difficult it..."
Dan envisions a future where AI can predict what he will say in meetings, transforming the dynamics of communication. He discusses the potential of AI to reduce repetitive tasks for leaders, allowing them to focus on more strategic initiatives. This segment explores the implications of AI in enhancing productivity and decision-making in business settings.
"for that. And so I was like, "Well, my meeting transcripts aren't anywhere on the internet. A lot of what I say is on the internet and there's some overlap, but it'd be interesting." And so I ran..."
Dan provides insights into Every's operations, highlighting their AI-first approach. He explains how the team avoids redundancy by using AI to streamline communication and feedback processes. This segment showcases the innovative practices that enable Every to maintain efficiency with a small team while producing high-quality content.
"Interesting. I imagine you can build a GPT from that. And then, instead of having a meeting with Dan now, just talk to this thing, and he'll make decisions. Yes, definitely. And I mean we do this ..."
In this segment, Dan defines Every as a company that operates at the intersection of ideas and AI applications. He shares the company's journey in building a daily newsletter and developing AI tools, emphasizing the unique structure that allows for rapid experimentation and innovation. This discussion highlights the evolving nature of startups in the AI era.
"Let's follow this thread. This is exactly where I want it to go. I feel like the business you're building, the team you're building, the way you're operating is the very bleeding edge of how com..."
Dan introduces the concept of 'vibe checks' as a method for evaluating AI tools. He explains how these checks focus on user experience and practical applications rather than standard benchmarks. This segment emphasizes the importance of firsthand experience in assessing the effectiveness of AI technologies.
"Yes. And this is benefiting all of us, so thank you. So first of all, just tell people what the heck Every is, and then share a few insights into just how you operate. It's funny that you laugh..."
Dan discusses Every's approach to building AI applications, highlighting the integration of writing and development. He shares examples of their internal apps, such as Cora and Sparkle, which enhance productivity and streamline workflows. This segment illustrates how Every leverages AI to create tools that support their unique operational model.
"I don't if I can curse on this podcast, but- You can. ... it's the fucking best. Perfect. Excellent use. And you call those "vibe checks", is that the- Yeah, we call them vibe checks- Vibe checks, lo..."
Dan explains Every's consulting arm, which focuses on helping companies adopt AI-first strategies. He discusses the importance of training teams to effectively use AI tools and the potential for this segment of the business to grow significantly. This segment highlights the demand for AI expertise in the corporate world.
"Congratulations. Thank you. You can think of it like a chief of staff, an AI chief of staff for your email. It helps you manage your email with AI. It's very cool. We can go into more of it later...."
Dan shares insights into the role of Every's AI operations lead, who focuses on automating repetitive tasks and improving efficiency. He emphasizes the importance of having someone dedicated to this role to drive AI integration across the team. This segment provides practical advice for organizations looking to enhance their AI capabilities.
"[inaudible 00:29:50]. Because everybody wants to learn this. Okay, so share a few ways that you guys operate. You mentioned that your team doesn't write any code. What are just some ways that all..."
In this segment, Dan discusses how Every automates editorial processes using AI tools. He highlights the challenges of maintaining quality while scaling operations and the importance of integrating AI into daily workflows. This discussion showcases the innovative strategies Every employs to enhance their content production.
"as much as possible. And I think that has been a big unlock because it's really hard to... If you're working in a job all day, you're fighting fires, and you're like, "Okay, am I going to do this..."
Dan emphasizes the significance of process orientation in AI operations, particularly in editorial tasks. He discusses the need for behavioral changes to ensure that AI tools are effectively utilized within the team. This segment highlights the organizational challenges of integrating AI into established workflows.
"actually having to take time to do it, which I think makes it much more likely it happens. There's always a trick with that, where it's like you have to make sure it gets used. So it's basically ..."
Dan shares insights into the background of Every's AI operations lead, highlighting the importance of having someone who is both process-oriented and passionate about AI. He discusses the qualities that make a successful AI operations lead and the impact they can have on an organization's efficiency. This segment provides valuable guidance for companies looking to hire for this role.
"and it will go through anything you're writing, and copy edit it, which is amazing. The trick is it's not just building that. You also have to get Kate to be like, "Did you put this through the p..."
Dan discusses the emerging trend of hiring AI operations leads and the growing importance of this role in organizations. He emphasizes how this position can enhance efficiency across various departments and contribute to a company's overall success. This segment highlights the evolving landscape of AI in the workplace.
"And then before that, she worked at Animalz, which is a content marketing agency, one of the top content marketing agencies. And they're very process oriented. And I think the reason Katie is so..."
Dan explains how Every uses AI to maintain quality across their products and services. He shares examples of how AI tools assist in editing and refining content, ensuring that the output meets the company's standards. This segment illustrates the practical applications of AI in enhancing quality control processes.
"So we're doing this inside of the editorial org, but there's a lot of copy that goes out on Cora. And by the way, Cora is spelled C-O-R-A, so it's different from Q-U-O-R-A, slightly confusing. T..."
Dan provides an overview of the AI tools and technologies used at Every, including Claude and ChatGPT. He discusses the strengths of each tool and how they contribute to the company's operations. This segment offers insights into the practical use of AI in a modern startup environment.
"That is extremely cool. I'm going to take us on a little tangent. You keep mentioning- [inaudible 00:35:42]. ... Claude, and I'm curious just what is in the stack of tools that you find yourself usi..."
In this segment, Dan explains how Claude Opus 4 stands out by accurately assessing the quality of writing. He discusses its ability to judge content effectively, which is crucial for their product Spiral, where AI generates and evaluates tweets, enhancing content automation and quality control.
"So day-to-day, o3, that's my go-to. I think Claude Opus is... First of all, Claude Code, everyone inside Every, that's basically what we use. If you're building something, you're using Claude Co..."
Dan highlights the potential of speech-to-text interfaces, advocating for their increased use in the workplace. He mentions Granola and their internal tool, Monologue, as examples of how these technologies can revolutionize communication and productivity, making them essential for modern workflows.
"judge. So for us, for example, we're working on a new version of our product Spiral, which does content automation. You've used that in the past. And we're doing essentially Claude Code, but for ..."
Dan introduces PostHog, a product platform that offers a suite of tools for developers and product teams. He emphasizes its transparency, technical support, and comprehensive analytics capabilities, making it a valuable resource for teams looking to enhance their product development processes.
"and more people should be building them as affordances. We use Notion all the time, and I specifically use their meeting recording. I think that's mostly the stack. Okay. That was really helpful ..."
Dan explains the concept of compounding engineering, where each unit of work is designed to simplify future tasks. He illustrates this with the example of creating prompts for PRDs, emphasizing how investing time in improving processes can lead to significant efficiency gains for engineering teams.
"Let's go back to ways that your team operates. You mentioned having Kate. Was that her name? Yeah. Okay. What else? What else do you do that you think other companies should be doing or will event..."
In this segment, Dan discusses the innovative use of multiple AI agents, including Claude and others like Friday and Charlie, to enhance team productivity. He highlights how different agents bring unique perspectives and styles, allowing for a more nuanced approach to problem-solving and project management.
"you end up spending a lot of time essentially typing PRDs. Like, "Here's a document with exactly the stuff that I need to do," right? And so you could just be like, "Okay, cool. That's my job no..."
Dan shares insights into the diverse backgrounds of his team members, emphasizing the value of generalists in an AI-driven environment. He discusses how varied experiences contribute to creative problem-solving and effective collaboration, which are essential for scaling a small team.
"I think gets you a lot more leverage in your engineering team. And so, yeah, we have Kieran and Nityesh. And Cora, it just became public. It was in private beta. It had 2,500 active users. And t..."
Dan addresses concerns about the future of entry-level jobs in an AI-dominated landscape. He argues that tools like ChatGPT enable rapid skill acquisition, allowing young professionals to advance quickly and effectively, thus reshaping traditional career trajectories.
"That's an AI Asian product called Friday? Yeah yeah. Hadn't heard of that. Okay, interesting. There's another one called Charlie that they really love. And in particular, I think the thing they lik..."
In this segment, Dan discusses how mentorship combined with AI tools can significantly accelerate the growth of young professionals. He shares examples from his team, illustrating how AI facilitates learning and development, enabling individuals to reach their potential faster than ever before.
"I think there really is. It's definitely not one agent to rule them all at all. So interesting. Yeah. Oh, my God. The two people on the Cora team, what's their background? Are they both engineers ..."
Dan explores the emerging role of AI management in the workplace, emphasizing that future leaders will need to manage AI tools effectively. He discusses the shift in skill requirements and how understanding AI will become crucial for success in various industries.
"I had to go to Barnes and Noble and buy a book and there was nothing... I couldn't Google anything about why this function wasn't working. No Stack Overflow even back then. Yeah, yeah. There wasn'..."
Dan describes how Every operates with minimal coding, relying on AI to handle technical tasks. He highlights the implications of this no-code approach for product development and team dynamics, showcasing how it allows for greater creativity and efficiency in a small team.
"I sat down with him and told him, okay, here's how you tell a story. Here's how you think about a headline. He recorded all of it, put it into a prompt, and he never made the same mistake twice. ..."
Dan concludes by discussing the future of work in an AI-first environment, emphasizing the importance of generalists who can adapt and leverage AI tools. He reflects on the evolving nature of roles and the potential for innovation in a landscape where traditional job definitions are blurred.
"So the workflow is they give it, here's what I want. I refine it using this cool prompts library that they build on and agents build code, write the code. Then basically the time is spent review..."
Dan explores the potential for non-technical individuals to create software products in the near future. He highlights emerging tools that allow users to build applications without traditional programming skills, indicating a shift towards more accessible software development facilitated by AI.
"how do we do engineering, all that kind of stuff. And I think that's what makes the writing... That's why I like doing that is because the writing that we do from that I think is really good bec..."
In this segment, Dan discusses how AI is transforming the landscape of software development. He compares traditional software to new forms of applications that leverage AI, suggesting that the future of software will be more about content and less about conventional coding.
"you had to be able to learn both parts of the stack. Same thing for C programmers, when I guess in the seventies C was invented, it was like you got to be able to write assembly. And English is j..."
Dan explains how AI enhances the capabilities of skilled individuals, allowing them to achieve more with less effort. He reassures listeners that while AI tools are powerful, they still require a foundational skill set to maximize their potential.
"down from that I think that you could do almost now. So an example, we were talking about DIA, the new AI browser from the browser company. DIA has these things called skills, which are effectiv..."
Dan shares insights into Every's approach to product development, emphasizing the importance of identifying high-demand services that can be made accessible through AI. He discusses how the company incubates new ideas and transforms them into viable products.
"Yeah. Okay. Is there any other way that you guys operate that is really interesting that might be worth sharing that helps you operate really quickly, helps you do more with less? I mean, I would ..."
In this segment, Dan reflects on the changing dynamics of software creation, where traditional barriers are lowered by AI. He discusses the potential for new workflows and applications that can emerge as a result of this shift, likening it to the early days of spreadsheet software.
"lawyer but it would cost me like $25,000. Lawyers are really expensive and there's a lot more demand for those services than can be fulfilled because they're so expensive. And what AI does is it..."
Dan elaborates on Every's unique approach to building applications, highlighting how the team's shared AI-first mindset fosters innovation. He explains how internal usage of new tools can lead to successful product development and user adoption.
"can be like, cool, I'm using using ChatGPT for this. It's really useful for me. And you might be one of the first people to really notice that. And then because everybody that works at Every is ..."
Dan discusses his vision for Every as a creative institution that balances serious business goals with a playful culture. He shares insights into his fundraising philosophy, emphasizing the importance of maintaining flexibility and creativity in the company's operations.
"That is really cool. What I'm hearing is GPT wrappers are a good idea and are worth building. 100% thank you. GPT wrappers are amazing and they've been much maligned for absolutely no reason and p..."
In this segment, Dan explains his approach to fundraising, including the concept of a 'sip seed' round that allows for flexibility in capital usage. He discusses how this model supports risk-taking and innovation while maintaining a focus on the company's core mission.
"And so I've always been sort of hesitant to raise a lot of money because I think it locks you into having to be that serious thing that's totally going for it. And there's lots of companies that..."
Dan articulates his belief that impact can be achieved in various ways, not solely through building large businesses. He emphasizes the importance of storytelling and changing perceptions, highlighting Every's mission to help people navigate their relationship with technology.
"And we did the same thing for this recent round where we raised up to 2 million from Reid Hoffman and starting line VC. And we did it as what I've been calling a sip seed round, which is basical..."
Dan shares insights into Every's consulting arm, which helps organizations adopt AI effectively. He discusses the importance of tailored training and the role of leadership in driving AI adoption within companies.
"I love that you've kind of innovated a new middle ground way of fundraising, not bootstrap and not just regular VC. It's a seed. And I love that this two... If I raised 50 million, it'd be like,..."
In this segment, Dan identifies the key differentiators between companies that successfully adopt AI and those that struggle. He emphasizes the critical role of leadership engagement and the need for realistic expectations in driving AI initiatives.
"a shape that works for me and that's different from other people and we'll see how this goes. We'll revisit in a couple years. Seems like it's going great from the outside. I'm going to ask about ..."
Dan Shipper discusses the rapid growth of Every's consulting business, which focuses on helping organizations adopt AI technologies. He explains their process of researching companies, identifying repetitive tasks, and customizing training for teams to drive AI adoption. This segment highlights the importance of tailored training and the role of leadership in fostering an AI-first culture.
"started to do that. This is pretty nascent. It's probably been over the last six to nine months, but it's a pretty big business now. It'll probably double this year. Last year we did about a mil..."
In this segment, Dan emphasizes the critical role of CEOs in driving AI adoption within their companies. He shares insights on how CEOs who actively use AI tools like ChatGPT can inspire their teams to embrace these technologies. Dan illustrates this point with examples from successful companies, highlighting the importance of leadership in setting realistic expectations and fostering excitement around AI.
"with a lot of big hedge funds and PE firms and big companies, all that kind of stuff. To your- Companies, all that kind of stuff. To your second question, which is, "What separates the good compan..."
Dan outlines effective strategies for companies to cultivate a culture of AI learning and collaboration. He discusses the importance of sharing prompts and use cases in weekly meetings and sending out usage statistics to encourage engagement. This segment reveals how recognizing early adopters within organizations can facilitate broader AI adoption and knowledge transfer.
"other really cool companies do is they're doing weekly meetings where people share prompts and share use cases. They do a weekly email to their entire company, being like, "Okay, here are our us..."
Dan reflects on the early impacts of AI adoption in companies, noting that many organizations are achieving more with their existing workforce rather than reducing headcount. He discusses the potential for reshoring jobs to the U.S. as companies find they can operate efficiently with fewer employees using AI tools. This segment explores the evolving nature of work in an AI-driven economy.
"Yeah. Amazing. And I especially love this very simple heuristic of, "If you're a CEO, uses ChatGPT or Claude, or whatever daily, it's going to work out." Yeah. That is super cool. I know it's earl..."
In this segment, Dan introduces the concept of the 'allocation economy,' where managerial skills become increasingly valuable. He discusses how the role of managers will evolve as AI tools become more integrated into workflows, emphasizing the need for skills like communication, task delegation, and feedback. This segment provides insights into the future of work and the skills that will be essential in an AI-first world.
"Maybe to close out our conversation, I want to come back to this idea that you referenced, but I want to spend a little more time on this, which is this idea of the allocation economy. If I unde..."
Dan shares his perspective on the increasing value of generalists in the workforce as AI tools enable individuals to engage across multiple domains. He discusses how AI can empower generalists to perform various tasks efficiently, leading to a shift away from highly specialized roles. This segment highlights the potential for smaller organizations with versatile employees to thrive in the evolving economy.
"skills. And those skills are not broadly distributed right now, but they will be in the future because it will be so much cheaper to be a manager. And specifically, I was looking at the article y..."
Dan reflects on his personal journey with writing and its significance in his life and work. He discusses the challenges of balancing company responsibilities with creative pursuits and the insights he gained from returning to writing. This segment emphasizes the value of self-reflection and the role of writing in maintaining clarity and direction in both personal and professional contexts.
"This reminds me, I was talking to my personal trainer that I'm trying out for a little bit, and she said that she's a very big vision, kind of high-level person, and not good at executing, like ..."
Dan recounts a pivotal moment when he realized the importance of writing in his life and business. He discusses how he sought examples of successful writers who built businesses, leading him to embrace his identity as a writer. This segment illustrates the journey of self-discovery and the impact of aligning personal passions with professional endeavors.
"And I think that's actually exactly how I use it. [inaudible 01:28:55] Wow. It's an extension of our brains already. Yeah. Last question. I was reading somewhere, where you wrote that you stopped wr..."
In this segment, Dan reflects on the unconventional nature of his business model at Every, which combines newsletter publishing, app incubation, and consulting. He emphasizes the importance of authenticity and following one's unique path rather than conforming to traditional startup norms. This discussion resonates with aspiring founders seeking to carve their own niche in the business landscape.
"but I didn't know about that for a while. And so early on at Every, it was growing really well, because I was writing a lot, and Nathan was writing a lot. And when I stopped writing, the busines..."
Dan discusses the emotional and professional toll of engaging in work that doesn't align with one's passions. He emphasizes the importance of pursuing what truly excites you, suggesting that doing so can lead to a more fulfilling and successful business. This segment serves as a motivational reminder for entrepreneurs to prioritize their interests and desires in their professional journeys.
"good for the business. And the more I've leaned into that, doing the thing that ... If you told anyone that you're starting a business, where it's like, "Well, we're going to be a newsletter, an..."
In the closing segment, Dan shares how listeners can connect with him and Every. He encourages the audience to explore innovative uses of AI that enhance their lives and invites feedback through various channels. This segment reinforces the community aspect of his work and the importance of collaboration in the AI-driven landscape.
"I think this is going to hit hard with a lot of people who are listening, who are maybe founders or want to be founders, and this resonates with a lot of people that have been on this podcast sh..."