Roko's Basilisk is a podcast exploring the intersection of technology, entrepreneurship, and innovation. The host, Roko, discusses how to create data analysis systems for fitness apps using artificial intelligence (AI) to make money. The fitness industry is expanding, and personalized apps are in high demand. Data analysis systems provide insight into users' health and fitness patterns, which can be used to make personalized recommendations for workouts, meal plans, and sleep schedules. The data analysis system can also identify trends to improve the app's functionality and generate revenue through advertising and in-app purchases. The fitness apps, Fitbit and MyFitnessPal, are examples of using data analysis to improve their app's performance and generate revenue. Creating a data analysis system requires an understanding of programming languages and libraries, statistics, machine learning, and data visualization techniques. Other AI applications in the fitness industry include personalized coaching programs, workout plans, and real-time feedback on form and technique. However, data privacy and security are major concerns, and the app should have features such as personalization, real-time feedback, and biometric tracking to be effective and useful for users.