Q: Can I be a BETA tester? This looks really cool!

Maybe! Send me a contact note with your computer details (PC/MAC, GPU, etc,), Kindle version, your LLM of choice, and why you want to help test.

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Q: Is the AI Digital Bookshelf free?

A: TBD! There will likely be a free version that doesn't include the AI features, and it will still be very useful for understand your digital library!

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Q: I think a few books are missing from my library.

Some books are encrypted and can't be read directly from the Kindle. However, if you make a single highlight or note on the book in your Kindle, it will appear in your AI Digital Bookshelf. This works because it reads both from the Kindle library structure, as well as the My Clippings file.

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Q: How much does it cost to run the AI?

A: It depends. For example if you run Anthropic's frontier model against multiple full text books, it could be several 100,000 tokens and relatively expensive. But if you install a local LLM (click here for instructions), it's free.

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Q: My AI results are slow or poor.

A: The quality of the AI results are based on two factors: the power of your chosen AI model and the quality of the input; your highlights, notes, summaries, and whether or not you use full text. Some models have very high token limits and are better suited for full text analysis. Others are very strong at reasoning even with shorter inputs (20 highlights/notes) like Anthropic's Opus 5.

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Q: Some expected book covers are missing or wrong. How can I fix this?

A: The metadata fetch works based on book title and author. Make sure those fields are correct. Editing and saving the book metadata, or clicking the "Refetch" button will kick off a request to one of three online metadata sources (Goodreads, Apple Books, Google Books). If it still does not return what you're looking for, right click on the book cover in the "Book Details" view and select "Remove Cover".​

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Q: How was the AI Digital Bookshelf built?

A: Antigravity 2.0 and Gemini Pro 3.1. It uses common open source tools including Python, Flask, SQLite, and HTML5/CSS/JavaScript.

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About the developer

Contact with bugs, issues, questions, or other feedback

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