The text discusses the concept of "productizing a person" by packaging an individual's unique judgment and decision-making processes into a usable format for others. This is being made possible by advancements in software and AI, which can extract and represent complex tacit knowledge. Historically, valuable personal insights and instincts were lost with an individual's death, like a library burning down. AI provides the first real opportunity to externalize this "deep smarts" or "tacit knowledge" that individuals often cannot articulate.This externalization can occur through two primary methods: systematization, where knowledge is written down and structured, or apprenticeship, where knowledge is transferred through proximity and experience. Some believe in capturing explicit knowledge through writing and AI, while others emphasize implicit knowledge gained through hands-on learning and mentorship. The author argues that both approaches are necessary and complementary, forming a spiral of knowledge transfer.Writing down one's judgment for AI forces a deeper self-understanding and clarifies the decision-making process. This structured knowledge can then serve as an invaluable onboarding tool for teams, making expertise more institutionalized. However, the AI-generated output represents only the codified part of a person's judgment, lacking the nuanced, unwritten instincts that still require traditional methods of transfer. Ultimately, productizing a person's judgment is about making their expertise accessible, not replacing their unique abilities.