The emergence of Large Language Models (LLMs) has transformed how humans interact with knowledge. Rather than reading full texts, users now ask questions and expect concise, accurate answers — often delivered by AI systems that rely heavily on existing books, articles, and expert-authored content. Yet, this transformation has occurred largely without the consent or compensation of the creators behind these works.

Intelligent Books offer a new paradigm: books as interactive, licensed, AI-accessible entities that enable real-time conversation with both the text and the author’s perspective — legally, securely, and with built-in monetization.

Imagine the following use cases:

• A student researching behavioral economics chats with a licensed copy of a best-selling textbook in a platform like ChatGPT. The book responds in its own language, referencing chapters, examples, and diagrams — while attributing insights to the author and paying royalties per query.
• A professional reading a technical manual interacts with the embedded knowledge inside an enterprise chatbot, asking how to implement a protocol described in Chapter 9. The system retrieves and summarizes the relevant passage, tracked and remunerated in real time.
• A lifelong learner pays a monthly subscription to “converse with the world’s best thinkers.” Each conversation with an Intelligent Book includes contextual answers and even emulates the tone or reasoning style of the author — with proper licensing and financial participation.

These scenarios are not distant visions. With technologies like Retrieval-Augmented Generation (RAG), vector databases, and dynamic licensing systems, they are technically viable today. Imagine having access to an entire library of licensed books — across genres, languages, and domains — where every query you make to an AI like ChatGPT is routed through this intelligent repository. Whether you’re studying physics, learning philosophy, or exploring historical events, the system retrieves real answers from real books, and both the authors and the AI provider are compensated fairly through usage-based royalties. What’s missing is a scalable framework — one that aligns publishers, authors, AI platforms, and end users.

This white paper proposes that framework. It lays out how books can evolve from passive files into living, monetizable knowledge services, while protecting creators and enhancing the AI experience for everyone.

https://github.com/rfigurelli/Intelligent-Books/blob/main/Intelligent_Books.md