The 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.
This interview podcast features Guillermo Rauch, co-founder and CEO of Vercel, discussing the future of programming in the age of AI. The conversation begins by exploring Rauch's approach to identifying and solving emerging technological challenges, exemplified by his work on SocketIO and Next.js. The discussion then...
This interview podcast features Dan Shipper interviewing Nabeel Hyatt, a partner at Spark Capital, about his unique venture capital investment strategy and his perspectives on AI. The conversation begins with Hyatt explaining his preference for making only a few, highly focused investments per year, contrasting this w...
In this podcast, two founders dive into the world of building AI products. They highlight how crucial intuition and product sense are for making informed decisions, stressing the need for a solid internal "mental model" that draws from user feedback without being solely dependent on it. The discussion also covers the h...
In this podcast episode, Dan Shipper sits down with Steve Krause, co-founder of Val Town, a social coding platform. They dive into the features of Townie, Val Town's new AI coding agent, which significantly speeds up the application-building process. Their discussion touches on the influence of AI in programming, the c...
In this podcast episode, the hosts dive into Spiral, a content automation tool developed by Every, a media company that also designs software. They explore Every's distinctive approach, which involves creating software based on lessons learned from running a media business, such as newsletters, YouTube channels, and po...
This podcast explores the future of prompt engineering and the vital role of domain experts in developing effective AI applications. The speakers challenge the idea that there is a single "best" prompt or model, stressing the importance of iterative development and clearly defining problems. They advocate for leveragin...
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