The hosts discuss how Jupyter AI generates code based on natural language prompts, from expanding the prompt into a table of contents to generating code cells for each section. They explore the benefits of breaking down the process into smaller sub-tasks and the capabilities of Jupyter AI for generating equations and scientific content.