Retention algorithms are designed to keep users engaged on a digital platform or service. These mechanisms are used by companies to increase the frequency of user interactions and generate more revenue through ads or subscriptions, collecting and analyzing data on user behavior to personalize the experience and encourage continuous interaction. While this brings significant benefits, excessive use of technology can generate negative effects, especially on the mental and behavioral health of users. The objectives of this study are: (1) to understand the significance and the ethical implications of the problem, (2) to identify methods to measure user’s state and build a model that simulates the brain to keep track of its state while scrolling, (3) to build and optimize a recommendation system that keeps user state within safe thresholds, (4) to test and compare the built model to the actual Instagram model.