Using ChatGPT for monitoring cross-platform apps presents several challenges, primarily around contextual understanding across diverse logging formats from iOS, Android, and web, which often leads to misinterpretations. The sheer volume of real-time monitoring data generated by these apps can overwhelm an LLM, making timely analysis difficult and computationally expensive. Significant security and privacy risks arise when sending sensitive monitoring logs and user data to an external AI service, demanding robust data governance. Furthermore, ChatGPT often lacks deep domain-specific knowledge about a particular app's unique architecture, potentially leading to generic or less accurate insights. Integrating different monitoring streams into ChatGPT and developing mechanisms for its natural language output to provide actionable, precise recommendations for developers also poses considerable technical hurdles. More details: https://www.sougoseo.com/rank.cgi?mode=link&id=847&url=https://abcname.com.ua/