This study investigates how AI can act as a pedagogical partner in developing the vocal technique, expressive skills, and interpretative autonomy of opera singers. The research seeks to determine whether conversational AI models can assist in structuring vocal study, providing contextual feedback, and supporting artistic reflection. The motivation arises from practical experience in preparing and performing roles such as Caramello (Eine Nacht in Venedig – Johann Strauss), Ruggero (La Rondine – Giacomo Puccini), and Don Carlo (Don Carlo – Giuseppe Verdi). The study adopts a qualitative approach based on self-observation, reflective dialogue with AI models, and iterative documentation of the vocal study process. Conversations with AI were analyzed to identify patterns of feedback, interpretative guidance, and organizational structuring of practice sessions. The framework also anticipates the use of visual and auditory AI tools, including image and GIF processing, 3D modeling, and audio analysis technologies, to illustrate phonatory mechanisms and to integrate these multimodal resources into future didactic materials.