Fast Book Extraction with Deep Read

Problem

When reading nonfiction, the bottleneck is often not finishing the book, but converting it into reusable structure. Readers may remember scattered quotes without clear definitions, cases, use contexts, or next actions. This is useful when you need a quick assessment of whether a book is worth deeper time, or when you want to extract core methods into a workflow.

How It Works

• Input: Supports PDF, TXT, Word, pasted text, or a book title; keep each pass around 30,000 characters, and split longer content by chapter.
• Extraction: Applies a “skeleton → flesh → essence” pass: a one-sentence definition, supporting cases and contexts, then trigger conditions and an action list of no more than three steps.
• Output: Produces structured Markdown, suitable for saving as {book-title}-fast-extract.md or importing into a note system.

Boundaries

It is best for initial screening, fast reading, concept transfer, and generating action items. It is not a substitute for close reading. Scanned PDFs and image files are not supported; if the book depends heavily on context, terminology, or long argumentation, fast extraction may lose details and should be paired with deeper reading.