The author is trying to model a graph database using ChatGPT to track supplements and their influence on processes in the body for their son with Down Syndrome. The goal is to create a database that can store information about supplements, their ingredients, effects, and interactions, as well as reference medical publications and blood test results. The author uses ChatGPT to generate a basic data model by asking specific questions, which eventually leads to a more detailed understanding of the database structure and relationships between nodes. Although the generated model is not perfect, it provides a good starting point for building an application, and the author sees this as an opportunity to make parts of building applications easier and fun. The experience highlights the potential benefits of using tools like ChatGPT in data modeling and development, especially for those who may not have extensive experience with graph databases or Neo4j.