The document discusses a new method for summarizing long documents in 3 sentences or less. It begins by outlining the challenges of summarizing while preserving the most important information. It then describes the proposed technique, which uses natural language processing and machine learning to analyze documents and identify the most essential concepts, people, locations, and events. Key details are extracted and consolidated into a concise yet informative summary. An example summary is provided to illustrate how only the most important elements are captured in a very brief synopsis.