The document discusses a proposed NLP application called "SuperAgent" that would aggregate job postings from various sources and examine them to determine their likelihood of success for a job seeker. It would help job seekers find suitable positions more efficiently by doing the initial filtering work. The goal is to improve job seekers' opportunities and chances of gaining work. Requirements include the ability to easily search and understand thousands of postings. Techniques mentioned include frequency analysis, filtering, clustering analysis, and fast retrieval. Next steps include finding investors, developing scraping capabilities, and refining the techniques.