Reading highlight retention and knowledge graph console

Reduce the effort of turning scattered highlights into reviewed, connected and retained knowledge. For researchers, students and knowledge workers who read across books, articles and video and need to retain and connect what they capture, convert imported highlights, transcripts, notes and reading preferences into a reviewed, searchable knowledge library with scheduled review prompts. The benefit is a testable hypothesis, measured through highlights reviewed per week and retained-understanding checks on held-out material; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect imported highlights, transcripts, notes and reading preferences, then follow this sequence: 1. Import highlights from Kindle books, web articles and YouTube transcripts. 2. Summarize long passages and online content into concise notes. 3. Mark and annotate important sections for later reference. 4. Search highlights by meaning and context, not only keywords. 5. Schedule spaced-repetition review prompts. Resolve uncertain cases with qualified reviewers, approve the reviewed knowledge library with scheduled review prompts, and measure highlights reviewed per week and retained-understanding checks on held-out material against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed import format set and licensed source access; final accuracy and citation checks remain editorial. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve source attribution, quotation accuracy and usage permissions. Users approve substantive changes and publication scope. One fixed import format set and licensed source access; final accuracy and citation checks remain editorial. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One fixed import format set and licensed source access; final accuracy and citation checks remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: import highlights from Kindle books, web articles and YouTube transcripts; summarize long passages and online content into concise notes. Support the third module with operator review: mark and annotate important sections for later reference. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Reader-owned highlights, authorized transcripts and permitted research sources. Cloud storage, document import/export and reading or note destinations. Start with file exchange and validate destination specifications before promising direct sync. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Import and source setup, Library and knowledge graph, Review and retention. Use a source list for connected reading and media, a central library canvas with semantic search and filters, and a right-hand panel for definitions, links and review state. Let users compare a highlight against its source passage and linked concepts. Display imported, summarized, linked and reviewed states. Provide a daily review view with scheduled prompts and a knowledge feed. Make the task-specific outcome a reviewed, searchable knowledge library with scheduled review prompts visible beside its evidence, review state and value baseline.