Anders Larson and Shea Parkes discuss using GenAI applications with coding agents to simulate healthcare costs. They revisit the distinction between large language models (LLMs) and the applications that wrap them. They then use some newer GenAI application functionality to generate some simulated healthcare cost distributions. During their discussion they explore what domain knowledge the modern LLMs already have, and how to supplement that with their own domain expertise.