Self-hosted LLM Textbook Tutor

Turn your PDFs and EPUBs into a self-hosted AI tutor that quizzes you

Problem

Reading complex material does not guarantee retention; many people forget most of a book or doc soon after finishing. Most AI reading tools only summarize or answer questions, lacking an active-recall loop that teaches concepts back and retests you. Uploading whole books to the cloud also worries privacy-conscious readers.

Solution

A self-hosted LLM textbook tutor: import EPUB, PDF, or online HTML, automatically extract core concepts, and reinforce them through a teach-ask-quiz loop until you get them right. Users bring their own AI API key, data stays local by default, and progress plus weak spots are tracked.

Users

Students working through textbooks, certification candidates, engineers reading technical docs, and privacy-sensitive knowledge workers who prefer local tools.

MVP

Import EPUB/PDF/HTML; concept extraction and explanation; concept-based Q&A and quiz loop; progress and weak-spot tracking; bring-your-own API key with local-by-default storage.

Revenue

Open-source local version plus a subscription hosted tier (no setup, cross-device sync, progress analytics); alternatively resell a built-in model channel with a margin on API usage.

Why now

LLMs are cheap enough, and local inference plus self-hosting tooling has matured, yet most AI learning tools still just summarize. The active recall and spaced testing loop is underserved. An indie dev can ship a usable version in a few weeks on top of existing model APIs.