Vance sits down with data engineer Rob Long — self-described as scoring near zero on the agreeableness scale — to dig into what professional AI use actually looks like. Rob walks through his work at Bayer building "Sales Companion," an iOS app that lets sales agronomists dump field notes, photos, and voice memos after customer visits, then uses an AI agronomy agent to surface product recommendations and flag crop disease issues the salesperson might have missed. It's a grounded, unglamorous look at how enterprise AI actually gets built and deployed.The conversation ranges widely, from the local optima problem (why hill-climbing strategies trap you on foothills instead of mountains) to how AI has turbocharged both of their understanding of history — Greek empires, Byzantine splits, the hard fork of the Protestant Reformation. Rob also makes a sharp case that English is simply the next layer of abstraction above high-level programming languages, the same way C replaced assembly — and that most "software engineers" are quietly becoming software engineering leads managing agents instead of writing code.As Bitcoin joins the conversation, Rob explains that his view is simple — figure out how to get paid in it, and stack what you can. He and Vance also trade takes on AI surveillance fears, driverless cars, the cost of keeping underperforming employees, and the surprisingly good lesson hiding inside every embarrassing work story.https://Articulate.Ventures/IBC/https://LegacyInterviews.com/