In mortgage lending, “close enough” isn’t good enough. While general-purpose AI models like Gemini can generate impressive answers, they often provide probabilistic responses that introduce risk, confusion, and even costly repurchase scenarios. In this episode of the Weekly AI Update, David Lykken sits down with Jennifer, CTO of Angel AI, to unpack the difference between probabilistic and deterministic AI, share real-world borrower case studies, and explain why mortgage professionals must demand precision over possibility when leveraging AI in critical lending decisions.