Putting everything in its right place with ML-powered file organization

This post details the development of the 'Smart Move' feature, an AI-assisted file organization capability. It describes the ML-driven approach to analyzing user's existing subfolder structures and suggesting optimal file placements. Key technical challenges addressed include product design and understanding diverse user organization patterns, handling sensitive data with new workflows and storage solutions, identifying appropriate datasets for training, and optimizing for low latency in synchronous UX flows. The post also discusses the development of a new ML model by treating existing organized folders as labeled end states, and the importance of low-overhead prototypes for gathering user feedback.