Asynchronous online discussions are a common instructional tool in agricultural education, yet student engagement and curiosity often remain surface-level when using learning management system (LMS) discussion boards. This abstract describes the first-time implementation of Packback, an AI-moderated discussion platform, in an undergraduate Precision Agriculture course at [University] to enhance student curiosity and engagement with course content. Students were required to submit weekly questions based on course topics and respond to two peers' questions, with a minimum curiosity score of 60 for both initial posts and replies. Student participation rates were notably high, with consistent engagement occurring outside of class meeting times. Questions demonstrated genuine curiosity about course topics and often extended beyond basic comprehension. However, several implementation challenges emerged. Students initially struggled to understand how the AI curiosity algorithm evaluated their posts, creating frustration during the early weeks. Additionally, some students discovered they could copy and paste identical replies across multiple weeks and still receive full credit from the AI grading system. The learning curve for both instructor and students was significant, though subsequent semesters have benefited from improved Canvas LMS integration at the university. Based on this experience, several practical recommendations emerged for agricultural educators considering Packback adoption. First, instructors should pilot the platform in one course initially to manage the time investment required for weekly monitoring and interaction. Second, providing students breaks from discussion requirements during exam weeks or when major projects are due prevents cognitive overload and maintains engagement quality. Third, explicit instruction about the AI feedback system and regular monitoring for repetitive responses can mitigate gaming behaviors. This presentation will share sample discussion prompts, grading rubrics, implementation timelines, and lessons learned to support transferability across agricultural education contexts.