Organize years of author notes into structured beats and writing workflows

Executive Summary

Authors accumulate years of fragmented notes and struggle to find, organize, and convert ideas into drafts. Provide an author assistant that ingests multi-format notes, groups by beats, and offers semantic search and export to writing apps. Embeddings and retrieval-augmented-generation now make reliable semantic indexing and cross-document beat grouping feasible for personal archives, enabling instant search and synthesis over years of notes. The upstream validation shows paid tools and repeated publishing workflows, and a monthly recurrence signal, meaning authors already pay for recurring productivity tools. Also, the growth of self-publishing and creator monetization increases willingness to buy tools that speed time-to-publish. Position as an author-first 'beats' assistant that maps years of notes into story beats, character bibles, and scene outlines using semantic indexing and templates. Evidence from the source shows authors have "years of notes" and are looking for organization, and Stage 1 signals indicate paid tools and repeated publishing workflows exist, making writers willing to pay for recurring productivity gains. Differentiate by offering prebuilt author templates, beat timelines, export to Scrivener/Google Docs, and anonymized aggregate beat patterns to recommend structures for similar genres.