How to Build a Cognitive Training Plan | Monday Advice

How to Build a Cognitive Training Plan | Monday Advice

Author: Cal Newport August 24, 2026 Duration: 1:02:45
In the world of physical health, we use so-called “key performance indicators” (KPIs) to help measure and improve our fitness. In today’s episode, Cal proposes a collection of three KPIs for measuring and improving your *cognitive* capabilities – a small step toward his larger vision of a cognitive fitness revolution.   Below are the questions covered in today's episode (with their timestamps). Get your questions answered by Cal! Here’s the link: https://bit.ly/3U3sTvo   Video from today’s episode:  youtube.com/calnewportmedia   (0:00) How to build a cognitive training plan (29:48) What is Cal’s opinion on information fatigue syndrome? (37:04) Comments on the new book, “Pardon Our French: The Parisian Way to a Happier Life” (40:17) An interesting way to think about AI and thinking (47:37) An article about Disneyland, high quality leisure, and deep living (57:53) What Cal is up to   August 2026 Books   The Laws of Thought (Tom Griffiths) This is For Everyone (Tim Berners-Lee) Into the Deep  (Bob Ballard and Christopher Drew)202    Links: Buy Cal’s latest book, “Slow Productivity” at www.calnewport.com/slow Get a signed copy of Cal’s “Slow Productivity” at https://peoplesbooktakoma.com/event/cal-newport/ Cal’s monthly book directory:  bramses.notion.site/059db2641def4a88988b4d2cee4657ba? https://workplacepsychology.wordpress.com/2011/05/18/information-overload-when-information-becomes-noise/ https://scholarlykitchen.sspnet.org/2026/08/12/reading-between-the-lines-part-1-a-cognitive-framework-for-ai-in-scholarly-publishing/ https://pluralistic.net/2021/07/18/boredom-and-its-discontents-part-ii/ https://pluralistic.net/2026/08/12/insurance-value-of-biodiversity/ https://archive.ph/WvW1F Thanks to our Sponsors:   https://www.calderalab.com/deep (Use code “DEEP) https://www.vanta.com/deepquestions https://www.gusto.com/deep https://www.babbel.com/deep   Thanks to Jesse Miller for production and mastering, Jay Kerstens for the intro music, and Nate Mechler for research and newsletter. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Cal Newport, a computer science professor and bestselling author, brings his thoughtful exploration of technology's role in our lives into an audio format with Deep Questions with Cal Newport. Moving beyond the pages of his books, this podcast creates a direct dialogue where he addresses the real-world challenges submitted by his readers. Each episode feels like a focused conversation, tackling the practicalities of building a meaningful and productive life in an age of constant connectivity. You’ll hear specific strategies for cultivating sustained focus, designing a work life that allows for depth, and establishing boundaries with the digital tools that so often fragment our attention. The discussions are grounded in his research and philosophy, avoiding simplistic life-hacks in favor of sustainable systems. Whether it's navigating the demands of a distracted workplace, finding time for deep hobbies, or managing technology without feeling overwhelmed, Newport provides nuanced advice that connects the dots between personal effectiveness and broader societal trends. This isn't just another productivity podcast; it's a consistent source for rethinking how we engage with our work, our time, and our devices to reclaim a sense of purpose and control. The overall tone is both analytical and accessible, making complex ideas about living and working deeply feel immediately applicable to daily routines. Tuning into this podcast offers a regular opportunity to step back from the noise and consider a more intentional approach to everything you do.
Author: Language: en-us Episodes: 50

Deep Questions with Cal Newport
Podcast Episodes
Classic Episode: How Do I Learn Hard Things? | Monday Advice [not-audio_url] [/not-audio_url]

Duration: 1:15:43
In this replay of a classic episode from January 1st, 2024, Cal walks through the process of learning hard things. The good news is that most people can learn most things. The bad news is that learning is harder than we…
Did OpenAI’s Model “Go Rogue”? | AI Reality Check [not-audio_url] [/not-audio_url]

Duration: 33:40
Cal Newport takes a critical look at recent AI News. Video from today’s episode: youtube.com/calnewportmedia (0:00) Did OpenAI’s model “go rogue” (11:29) The implications (11:42) Did this attack reveal surprising new cap…
Why Do Digital Detoxes Fail? What Works Better? | Monday Advice [not-audio_url] [/not-audio_url]

Duration: 1:10:41
Why do digital detoxes fail to create lasting change? What works better? To answer these questions, Cal draws from the book “A Brief History of Intelligence” to reveal the relevant neuroscience at play, and then use this…
Am I Optimizing Too Much? | Monday Advice [not-audio_url] [/not-audio_url]

Duration: 1:16:25
Cal Newport talks with Brad Stulberg to explain the optimization paradox in Episode 414 of the Deep Questions podcast. Below are the questions covered in today's episode (with their timestamps). Get your questions answer…
Should I Use Notebooks More Often? (Cal’s Strategy) | Monday Advice [not-audio_url] [/not-audio_url]

Duration: 1:01:10
Tell me if this sounds familiar: you buy a beautiful notebook, excited by all its possibilities to help refine your thoughts and generate new insights. Then it sits unused until you forget about it. The problem is not *w…
Can I Be a Digital Minimalist in 2026? | Monday Advice [not-audio_url] [/not-audio_url]

Duration: 56:05
Back in 2019, Cal published one of the first books arguing that we rethink our personal relationship with online tools. Can his advice still work in an age of TikTok and ChatGPT? In today’s episode, Cal dives deep into t…
Dear AI Companies: Stop the “Doom Trolling” | AI Reality Check [not-audio_url] [/not-audio_url]

Duration: 22:04
Cal Newport takes a critical look at recent AI News. Video from today’s episode: youtube.com/calnewportmedia (0:00) Stop the “doom trolling” (6:53) Cal’s recent New York Times article (9:00) Cal’s argument (10:16) The 2n…