Imagine an AI with instant access to your entire reading library—every book, every highlight.
It navigates your knowledge, works with you through conversations, and creates tangible outputs: mind maps, idea cards, frameworks that reflect how you think.
Possible User Stories:
Ask questions across multiple books. Redirect as you think.
The AI searches entire books, chapters, and specific highlights—then synthesizes everything into a mind map.
Not generic summaries—mind maps shaped by what you marked. Build through dialogue in minutes, not hours.
AI handles the complexity of scanning multiple books. You steer the direction. Difficult to build manually—effortless together.
Don’t stare at a cursor trying to “write something smart.” Talk it through—AI articulates your thinking, formats it beautifully.
You see connections across books—AI helps you articulate them clearly. Your knowledge web grows with meaning, not just abstract links.
We’re recruiting a small group of dedicated readers to shape this Pro Setup with us from the start. Your needs and feedback will directly determine what we build.
Ready to shape the future of DeepRead? Join the co-development community.
What you get:
Your committment:
Check out my current Claude Code Setup turning my Kindle highlights into an intellectual sparring partner
What if an AI could search every book you’ve ever read and find the exact insight you need — condense years of reading on a topic, or compare how different authors approach the same question? I’m experimenting with Claude Code to make this real: teaching an LLM to navigate my entire Kindle highlight collection and become an intellectual sparring partner.
Check Noah Brier’s notetaking setup: The AI stores, reads, and writes to thousands of notes in his Obsidian vault.
For the technically curious:
Here’s how we’re approaching the architecture to make this possible.
Traditional AI chats load everything upfront and hit token limits fast. We’re using a filesystem-based approach where the AI dynamically searches and navigates your library—reading only what’s relevant for each query. This means no upload limits and true scalability across thousands of books.
We’re combining fuzzy text matching with semantic search to find what you’re looking for—whether you remember the exact phrase or just the general concept. The system can search across books, chapters, or individual highlights.
Each workflow (mind map, idea cards, etc.) is a structured guide that the AI follows—like a conversation script that adapts to your responses. New workflows can be added without changing the core system.
The AI maintains context across sessions—remembering your interests, projects, and how you think. It writes notes to itself about your library, so every conversation builds on the last.
Thanks for sharing! I find it hard to do that with books….
— Markus Zechner (@markus_zechner) November 18, 2025
