Mental health, while a crucial component of health, has often been neglected and stigmatised. University students, considering their unique situations and stressors, are more vulnerable to experiencing mental health challenges and being affected by stigma. The use of Large Language Models (LLMs) creates an opportunity to impart knowledge through digital interventions to address stigma, misinformation, and increase Mental Health Literacy in university students. Using a LLM generated prompt game, we conducted a pilot study with 5 mental health professionals. Through semi-structured interviews about the prototype and the narrative, we identified several narrative problems, such as missing information or overly simplified concepts. While the prototype has limitations, the participants considered it to have potential to be integrated as a tool for professionals.
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