Deeptutorv1.2.0

A knowledge worker reads a dense nonfiction book (e.g., Supercommunicators or Thinking, Fast and Slow) one chapter at a time, using DeepTutor to extract the original EPUB text, unpack the author's engine and hidden structure, and produce an insight-driven essay that is auto-saved to their Obsidian vault. They return weeks later to reread the saved deepdives for spaced review and synthesis. The agent replaces generic summaries with chapter-specific interpretation.

A book club organizer runs DeepTutor on the upcoming chapter before each meetup, producing a deepdive with non-obvious misreadings and comprehension questions that test real understanding rather than recall. The generated questions and takeaways become the anchor points for group discussion. Navigation links make it easy to share per-chapter files with members.

L&D teams assign a leadership book across a cohort and use DeepTutor to generate chapter-level deepdives that connect the author's examples to workplace practice without jumping to application prematurely. Each chapter's deepdive and optional quiz creates a structured, standardized learning artifact while preserving content-driven depth. Auto-saved Obsidian files serve as a shared internal knowledge base.

A writer or content creator uses DeepTutor to produce original-text-based chapter deepdives, then adapts the strongest insights into newsletter posts or video scripts. Because each deepdive avoids generic template language and uses the author's specific examples, the resulting content is distinctive rather than paraphrased. Obsidian acts as the writer's research and asset library.

A professional preparing for a certification or pivot (e.g., a marketer learning behavioral economics) uses DeepTutor to systematically work through required EPUBs with chapter-by-chapter extraction and close reading. The optional end-of-chapter quizzes test genuine comprehension, and the saved deepdives create a personal study guide that is richer than the source chapters alone.

The core DeepTutor skill is free to install via ClawHub, letting users run chapter deepdives on their own EPUBs. A paid tier unlocks curated content packs—pre-built deepdive sequences and chapter maps for popular nonfiction titles—along with advanced personalization profiles beyond the default 'Jin' bias. Revenue comes from power readers and study groups who want ready-made, high-quality reading paths.

Organizations license DeepTutor for cohorts running structured reading programs, with Obsidian vault integration pointed at shared team storage. The offering bundles admin controls, EPUB collection management, cohort progress dashboards, and the ability to standardize the deepdive output for internal learning artifacts. Pricing is per-seat with volume discounts for L&D departments.

Publishers and well-known content creators partner to distribute their books bundled with official DeepTutor deepdive companions, turning passive readers into engaged study communities. The publisher gains an interactive reading product; DeepTutor takes a share of bundled sales or a platform fee on each companion. Attribution and navigation links drive ongoing engagement with the original title.