 This paper explores the potential of ChadGPT as a tool for improving nutrition knowledge by examining its characteristics in relation to personalized meal planning, dietary advice, and guidance, food intake tracking, educational materials, and other commonly found features in nutrition applications. However, it highlights substantial limitations within the context of nutrition practice and education such as incorrect responses, coordinated nutrition services, hands-on demonstration, physical examination, verbal and non-verbal cues, emotional and psychological aspects, real-time monitoring, and feedback, wearable device integration, and ethical and privacy concerns. Further research and development are needed to optimize its capabilities in this domain. This article was authored by Manuel B. Garcia.