#716: A Century In Five Years with Justin Moon

Key Takeaways

• Design for agents using APIs, not brittle visual browsers; expose simple server APIs so agents complete tasks reliably without front-end scraping.
• Balance capability and privacy in sovereign stacks: prefer strong local models, expect hardware spending, or use Maple as a privacy-focused middle ground.
• Bootstrap Bitcoin within agent ecosystems via human coordination: run small supply-side experiments, make agent actions visible, and incubate two-sided marketplaces.
• Learn by doing: run servers, iterate prototypes, and cultivate willpower—hands-on experience builds mental models and uncovers opportunities AI won’t suggest.
• Ship pragmatic, user-centered products: solve real problems, avoid ideological purity, capture users migrating from failing platforms with easy, privacy-respecting alternatives.
• Experiment safely: use sandboxes, single‑use virtual cards, separate accounts, Faraday protection, and hardware kill-switches to limit data and financial exposure.

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