book-mirror

To create a personalized book analysis, provide your extracted EPUB or PDF chapters alongside a context pack of your stored brain pages. The system then generates a chapter-by-chapter two-column markdown file mapping book ideas to your real life context.

Two-column chapter summarization preserves original book content on the left while mapping every key idea to your actual life context on the right. It uses your stored memory and brain pages to write mirrored columns like a therapist annotating your margin notes.

Yes, you can ground a book summary in your personal life by supplying a dense context pack built from your brain pages. The system uses these reflections and themes to deliver deep, therapist-like relevance rather than a generic book summary.

The best way to convert a full book into a personalized markdown file is running an orchestrated read-only subagent analysis on your extracted chapters. This generates a single final deliverable written to media/books/<slug>-personalized.md.

Personalized book analysis works across common themes like relationships, psychology, business, or personal growth. It applies the same context-grounding mechanism to map ideas from any of these genres directly to your real life patterns.

Automated chapter text extraction requires you to supply clean, readable text from your EPUB or PDF beforehand. The system relies entirely on this extracted input and your provided brain context file to generate the mirrored two-column analysis.