Email remains a dominant form of business communication, but the increasing volume makes managing inboxes challenging, with professionals typically receiving 120 new emails daily and responding to only a quarter of them. Addressing this issue, Nylas introduces the Categorizer, a feature within its API that uses machine learning to differentiate between human-to-human (H2H) and machine-to-human (M2H) emails, allowing users to prioritize important messages efficiently. This tool, accessible through a single API call, helps platforms enhance productivity by filtering out less critical emails such as newsletters and transactional messages, thereby enabling users to focus on significant communications. The Categorizer is particularly beneficial in sectors like CRM and customer success, where timely communication is crucial, as it streamlines inbox management and improves response times by categorizing emails into "conversation" and "feed" using sophisticated algorithms.