In the context of home-based fitness

workout apps commonly face structural challenges in user initiation and retention. The root cause lies in the prevailing tool-oriented design logic that prioritizes data monitoring and movement correction while neglecting users' emotional needs and psychological burdens during solitary exercise. Taking the companion-style fitness product Miao Yoga as a practical case

this paper proposes a design strategy integrating flexible AI-based correction with IP-driven emotional companionship. By translating the technical outputs of AI pose estimation into the emotional interaction language of a feline IP character

the approach redefines the experiential quality of movement feedback. Empirical findings demonstrate that flexible feedback mechanisms effectively reduce exercise-related anxiety

while IP companionship transforms exercise from task execution into relationship maintenance. This study offers a reference pathway for shifting fitness app experience design from function-driven to emotion-driven paradigms in the AIGC era.