This professional development session focuses on the practical process of developing AI-enabled tools for agricultural applications using modern AI-assisted development workflows. Rather than emphasizing specific programs, the presentation highlights the planning and development process that can be implemented with AI coding agents.

The session begins with a structured overview of an AI-assisted development process, starting from high-level goals and progressing through project definition, system architecture, testing considerations, and detailed task planning. This framework is used to show how AI coding tools can support planning, implementation, and iteration while keeping humans firmly in control of technical and domain decisions.

This process will be demonstrated using the completed AI-based presentation sorting system developed for the ASABE Annual International Meeting. Because this system is already finished, participants will be able to clearly see how the planning framework guided the development from initial goals through implementation and deployment. A second example—a PID simulator designed for in-class demonstrations—will also be discussed to illustrate how the same planning-driven approach applies across different types of tools.

The session will conclude with a walkthrough of the design process for a simple machine learning application. Starting with a dataset organized in a directory, the example will progress through data analysis, model development, and the creation of a lightweight application for sharing and use. Together, these examples emphasize how a structured, AI-assisted planning and development process can support the create of complete, usable systems rather than isolated models or scripts.