Founder Mode
Founder Mode
Podcast Description
Founder Mode is a podcast for builders—whether it’s startups, systems, or personal growth. It’s about finding your flow, balancing health, wealth, and productivity, and tackling challenges with focus and curiosity. Each week, you’ll gain actionable insights and fresh perspectives to help you think like a founder and build what matters most.
Podcast Insights
Content Themes
The podcast focuses on themes of entrepreneurship, personal growth, and effective decision-making. Episodes cover topics like health management for founders, relationship maintenance during intense work periods, and creating opportunities through strategic risk-taking. For instance, Episode 1 discusses the concept that luck can be manufactured, while Episode 2 delves into the challenges of balancing health and hustle for entrepreneurs.
Founder Mode is a podcast for builders—whether it’s startups, systems, or personal growth. It’s about finding your flow, balancing health, wealth, and productivity, and tackling challenges with focus and curiosity. Each week, you’ll gain actionable insights and fresh perspectives to help you think like a founder and build what matters most.
EPISODE 76
JJ Zhuang, co-founder and CEO of Pretty Good AI, returns to Founder Mode to answer for the predictions he made on the show over a year ago. Kevin and Jason had Claude grade all ten, and JJ defends his record on hiring generalists over specialists, how much code AI is really writing, why taste is the one thing you can’t train into a model, and why slide decks are dead when you can just build the thing. He finishes 6.5 for 10, which beats the weatherman, and points to the release of Opus 4.6 as the moment things that used to not work suddenly started working. In the second half, JJ looks ahead: why Pretty Good AI is skipping the “sell the same widget a thousand times” playbook to become the AI team for healthcare practices, how to build guardrails around AI that’s confidently wrong, why the human work that’s left will be 100% hard work, how the team keeps protected patient data away from AI agents, and how a lean team can win a crowded healthcare AI market.
CHAPTERS
00:00 – Cold Open: Why Not Just Solve All Your Problems?
00:31 – JJ Returns: Grading 10 Predictions One Year Later
01:58 – Generalists vs. Specialists: Who Should You Hire?
04:39 – Is AI Really Writing Half of All Code?
07:28 – Taste, Comprehension, and the Human Edge
09:58 – Instant Prototypes, Fast Software, and the Death of Slide Decks
12:39 – Directing AI and the Most Overhyped Buzzword
14:32 – Overhyped or Underestimated? The Opus 4.6 Moment
17:09 – The Scorecard: 6.5 for 10
18:00 – Pretty Good AI’s Big Bet: Solve Every Problem
20:02 – What Success Looks Like: Becoming Your Customers’ AI Team
20:39 – Designing Around AI That’s Confidently Wrong
22:20 – Where the Line Between AI and Humans Moves Next
24:09 – Building on Models That Change Every Few Months
25:58 – Compliance When Your Team Is Agents
28:23 – What Patients Notice First
30:17 – How a Lean Team Wins a Crowded Market
LINKS
Connect with JJ Zhuang
Pretty Good AI • LinkedIn • X/Twitter
Stay Connected with Founder Mode
Connect with Kevin
Connect with Jason
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