Show Notes: Episode 10 of "The Good Stuff" In this tenth episode of The Good Stuff, hosts Pete and Andy discuss how AI is transforming product development, business creation, and work. We explore how the falling cost of creation enables faster product-market fit testing, the future of venture capital, and the rise of multi-agent AI systems. Podcast Updates and Announcements (00:56-07:13) The hosts celebrate reaching episode 10 Shout-outs to podcast supporters including Crispy, BundabergHodl, and BTCShellingPoint. Mention of Bethans upcoming book "The Human Edge" about critical thinking and human skills in an AI world AI and the Changing Nature of Business Creation (07:13-15:17) Discussion of the Presidio Bitcoin podcast (PBJ) How AI is making engineering less important than product-market fit The ability to rapidly test multiple ideas with minimal cost Product Market Fit and Personal Alignment (15:17-27:53) The importance of "product-founder fit" and choosing problems you genuinely care about Reduced sunk cost bias when experimenting has lower costs How energy and interest in a problem are better guides than purely tactical decisions Scott Adams' skill stacking concept applied to the AI era Hyper-Localization and the Future of Business (27:53-40:00)- The rise of hyper-local solutions built by people who understand specific markets "Proof of punch in the mouth" the trust advantage of local businesses Potential "death of B2B SaaS" as local solutions become more viable How AI might transform interfaces between humans and business services Bitcoin, Capital, and Long-term Value Preservation (40:00-55:43) Discussion of how Bitcoin fits into business strategy in an AI world The "up, up, down" methodology (margin up, capital up, risk down) How Bitcoin provides a way to preserve value in an uncertain future The trade of the next decade: "Use AI to earn more money now and keep it in Bitcoin" Multi-Agent AI Systems and UI Evolution (55:43-1:15:00) Experiences with Roo Code and orchestrating multiple AI agents The limitations of current chat interfaces that require human direction Vision for more opinionated AI agents that drive interactions forward Future UI as high-agency AI that can maintain context and memory
