Our smartphones have become indispensable tools for navigating modern life, yet this constant connectivity presents a paradox. While offering endless information and entertainment, our devices can subtly drain our time and attention, leaving us feeling unproductive and stressed. Have you ever caught yourself mindlessly scrolling through social media when you should be working or studying? Those moments, often referred to as "time-killing," are the focus of groundbreaking new research. Traditional methods for detecting time-killing, like periodic screenshots, miss crucial details about our phone usage habits. A novel approach called ScreenTK is changing the game. ScreenTK leverages the power of *continuous* screen text monitoring, capturing a far more complete picture of our interactions. By harnessing on-device large language models (LLMs), ScreenTK intelligently analyzes this text data to identify and categorize time-killing activities. Initial studies using ScreenTK have shown a remarkable 38% improvement in detection accuracy over traditional screenshot methods. Imagine having a personal AI assistant that not only reveals how much time you spend on distracting apps but also understands the *context* of your phone usage. ScreenTK offers this deeper understanding, potentially helping you to regain control of your digital life. This technology opens exciting possibilities for personalized interventions that address unwanted phone usage. By understanding our digital habits, we can make more mindful choices about how we interact with our devices, ultimately maximizing our productivity and well-being.