254: Battling Burnout

Stephen Robles joins us to talk about reading, intentional technology use, directing AI, and the golden era of the generalist. 

David & Mike discuss the difference between task triage and time architecture when designing your week and using rituals to help you transition from one task to the next. 

In this feedback episode, David and Mike discuss slowing down, complicated second brains, and the minimum viable productivity system. 

Show notes | PDF & Infographic | Free Audiobook | Ever felt your focus dissolve into thin air every time your phone pings? It's a common situation in today's hyper-digital world. But don't worry, Cal Newport's Deep Work has the answers we're all searching for. Read 1 million book ... Show More

#63: New York Times bestselling author and professor, Cal Newport, joins Chris to discuss building and living what he calls a “deep life.” We also delve into strategies that increase efficiency and quality of output, why constant email and messages are making you less productive ... Show More

Cal Newport of the Study Hacks blog tells you to do what works, not what's satisfying Episode 2679: Do What Works, Not What’s Satisfying: Pseudo-Striving and Our Fear of Reality-Based Planning by Cal Newport Cal Newport is an Associate Professor of Computer Science at Georgetown ... Show More

Cal Newport of the Study Hacks blog talks about the work required to become exceptional Episode 2639: Does Being Exceptional Require an Exceptional Amount of Work? by Cal Newport Cal Newport is an Associate Professor of Computer Science at Georgetown University, who specializes i ... Show More

<p>What is deep work, and why is it important? Cal Newport is known for his work on productivity and focus, and in this episode, he shares his best advise on how to eliminate distractions and getting things done. Cal and Nicolai also discuss the myths of multitasking, whether fou ... Show More

Cal Newport of the Study Hacks blog puts into question everything we thought we knew about productivity Episode 2352: Dangerous Ideas: What If Everything We Thought Was True About Productivity Was Wrong By Cal Newport Cal Newport is an Associate Professor of Computer Science at G ... Show More

Cal Newport is an Associate Professor of Computer Science at Georgetown University, who specializes in the theory of distributed algorithms. He previously earned his Ph.D. from MIT in 2009 and graduated from Dartmouth College in 2004. In addition to studying the theoretical found ... Show More

Cal Newport of the Study Hacks blog discusses doing what it takes versus taking what you already know how to do. Episode 1030: Doing What it Takes Versus Taking What You Already Know How to Do by Cal Newport Cal Newport is an Associate Professor of Computer Science at Georgetown ... Show More