book-mirror

To create a two-column book analysis, provide an EPUB or PDF file and a target slug. The pipeline extracts chapters, preserves content on the left, and maps ideas to your life context on the right, outputting a markdown file.

Personalized chapter-by-chapter book analysis preserves original chapter content in a left column while mapping ideas to your life context in a right column. It processes novels, textbooks, and non-fiction through automated chapter extraction and subagent analysis.

Yes, you can analyze both EPUB and PDF files for educational and personal development workflows. The pipeline ingests either format, extracts chapters, gathers context, and assembles a final personalized brain page.

You can render your two-column markdown book analysis into a PDF using the optional brain-pdf rendering step. The pipeline assembles the final markdown file at media/books/<slug>-personalized.md before initiating the PDF render.

The best way to map book ideas to your personal life context is using a two-column brain page structure. The left column preserves chapter content while the right column applies your brain context to map ideas to your life.

No, you do not need to manually split chapters before generating a personalized book analysis. The pipeline implements end-to-end orchestration that automatically handles file ingestion and chapter extraction before analyzing each chapter via subagents.