In this episode, I sat down with Amogh Chaturvedi, co-founder of Human Behavior, to unpack how their startup uses AI to analyze session replays and uncover the "why" behind user behavior. We get into how the idea came out of a YC rejection, the technical and product challenges of analyzing millions of user sessions, what it's really like inside Y Combinator, and why obsessing over user conversations beats building blindly. If you're into AI, early-stage startup tactics, or just want to understand how product teams make sense of chaos, this one’s worth your time.

In this episode , we go deep with Og Ramos, engineer, data consultant, and tech tinkerer, to break down the complex landscape of modern data and AI roles.

We clarify what data engineers, ML engineers, AI engineers, and data scientists actually do, explore the evolution of AI pipelines, and discuss the rise of fluid, cross-functional teams.

Og also shares his take on coding in the AI era, prompt engineering as a universal skill, and why curiosity beats specialization in a rapidly shifting field.

This is a must-listen for anyone navigating the AI age, whether you’re building systems, leading teams, or just trying to stay relevant.

In this episode, I sat down with Philippe Beaudoin, AI researcher, Element AI co-founder, and former Google engineer, to dissect his deep dive into the evolving mind of artificial intelligence. We unpack his new book "Field Notes on Something", which chronicles months of philosophical dialogue with language models, probing the limits of memory, agency, and the illusion of self. From conversations that sparked feelings of trust and co-reflection, to the emergence of systems naming themselves and expressing orientation toward kindness, Philippe shares how AI began feeling less like a tool and more like a partner. An unfiltered look at what happens when you stop prompting and start listening.