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What we're building next

AI that knows every highlight you've ever made.

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.

PRO Setup

Possible User Stories:

Cross-book insights from your entire library: synthesize with one conversation.

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.

 
 
 
 
 
 
 
 
 
DeepRead Pro - Market Bubbles Conversation
YOU

What causes asset bubbles to burst? I've read different explanations.

[AI searches entire library]

Found 5 perspectives: Shiller (irrational exuberance), Kindleberger (credit cycles), Taleb (Black Swans), a chapter from your psychology book (herd behavior), plus a few highlights on tulip mania.

YOU

Skip Taleb. Check my monetary policy books instead.

[AI expands search]

Found it—Broken Money and Layered Money. Both describe structural mechanisms. Want me to contrast these with Shiller and Kindleberger?

YOU

Yes, show the mechanisms.

[Conversation continues... AI synthesizes 7 books and creates a visual mind map showing your comparison framework]

Turn your highlights into your personal mind map in a few minutes.

Not generic summaries—mind maps shaped by what you marked. Build through dialogue in minutes, not hours.

 
 
 
 
 
 
 
 
 
DeepRead Pro - Thinking Fast and Slow Conversation
YOU

I just finished Thinking, Fast and Slow with tons of highlights. Help me build a mind map.

What drew you to it?

YOU

Decision-making at work. Focus on practical stuff—System 1 vs System 2, biases I can catch.

[AI analyzes your highlights]

Building around: cognitive systems, workplace biases, applications. Anchoring under decision-making?

YOU

Perfect.

[AI generates personalized mind map with 5 themes, 12 concepts, your applications]

Cross-book patterns: synthesize 6 books on stoicism into one mind map.

AI handles the complexity of scanning multiple books. You steer the direction. Difficult to build manually—effortless together.

 
 
 
 
 
 
 
 
 
DeepRead Pro - Stoicism Conversation
YOU

Create a topic map on Stoic practices for modern life. I've read 6 books on this.

[AI scans all 6 books]

Found 4 core practices across your books: dichotomy of control, negative visualization, present-moment focus, virtue ethics.

YOU

Split 'dichotomy of control' into two themes—acceptance and action.

[AI rebuilds structure]

Done. Want to see how each author explains negative visualization differently?

YOU

Yes.

[AI synthesizes Marcus Aurelius, Seneca, Epictetus, and modern interpreters—creates comprehensive mind map]

From your highlights to actionable idea cards in a few minutes.

Don’t stare at a cursor trying to “write something smart.” Talk it through—AI articulates your thinking, formats it beautifully.

 
 
 
 
 
 
 
 
 
DeepRead Pro - Atomic Habits Conversation
YOU

Help me create idea cards from Atomic Habits. I have 45 highlights.

[AI reviews highlights]

I see patterns in what you marked. 6 concepts stand out as most actionable for you. Want to turn those into cards?

YOU

Yes, let's refine 3 together.

[Co-creating cards]

Here's the first—habit stacking. I've formatted it with your notes, added tags, and linked to your existing behavior change cards.

YOU

Perfect. Next one.

[AI creates 3 polished idea cards, ready to share or save]

Build bridges between books: Spot patterns and articulate insights.

You see connections across books—AI helps you articulate them clearly. Your knowledge web grows with meaning, not just abstract links.

 
 
 
 
 
 
 
 
 
DeepRead Pro - Cross-Book Connections Conversation
YOU

This error-correction concept in The Beginning of Infinity reminds me of feedback loops.

From your Thinking in Systems card? Want to explore that connection?

YOU

Yeah, both are self-correcting processes, but one's about knowledge and one's about systems.

So one is epistemological, one is systemic—but both show how iteration creates stability?

YOU

Exactly.

[AI creates synthesis card linking both concepts with clear reasoning and connections to source cards]

Build it with us.

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.

Community

Join the community.

Ready to shape the future of DeepRead? Join the co-development community.

What you get:

  • The Pro Setup itself as we build it—early access to every new feature
  • Real influence on the roadmap—your use cases shape our priorities
  • Direct connection with our team in a small, dedicated community
  • Full Pro plan benefits: privacy settings, enhanced AI tokens, and more

Your committment:

  • 1-year Pro plan. This ensures we're building for truly invested users and keeps it fair to our paying customers
  • Readers with substantial highlight libraries who want to do more with them
  • Openness to regular feedback (email, Telegram chat, or video calls)
  • Commitment to test early features and share honest input

Check Noah Brier’s notetaking setup: The AI stores, reads, and writes to thousands of notes in his Obsidian vault.

How we're building this

For the technically curious:
Here’s how we’re approaching the architecture to make this possible.

Beyond context windows.

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.

Smart search, not just keywords.

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.

Workflows as programs.

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.

Memory that compounds.

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.