InkskyEveryone’s talking about AI. Few people are talking about how AI actually improves the reading experience itself. Here are five concrete ways I use large language models with my e-reader that go beyond “ask ChatGPT to summarize a book.”
1. Pre-reading chapter summaries (saves time on non-fiction)
Before I start a dense non-fiction chapter, I feed the chapter text to Claude and ask: “Give me the 3 key arguments in this chapter, one sentence each. No spoilers for later chapters.”
I paste those three sentences into a text file, convert to EPUB, and open it on my Kindle as a “reading guide.” This gives me a mental scaffold before I start — I know what to look for, and the chapter makes more sense on first read.
The workflow: copy chapter text → paste into Claude → save response as .txt → convert via pandoc -o guide.epub guide.txt → Send to Kindle.
2. On-device translation that doesn’t suck
Kindle’s built-in dictionary works for words. But what about full paragraphs in unfamiliar languages? Or old English you can’t parse?
For Kindle (jailbroken): Install KOReader, which supports the Google Translate plugin. Tap any paragraph, get an instant translation. No network required if you cache translations ahead of time.
For Boox: Install the DeepL or ChatGPT Android app. Use split-screen mode — book on the left, AI app on the right. Highlight text in the book, share to the AI app, get translation, swipe back. Slower than KOReader’s plugin, but no jailbreak needed.
3. Automatic reading notes and summaries
The problem with Kindle highlights: you highlight 50 passages in a book, export them as a text file, and never look at them again because they’re out of context.
Feed your exported highlights into ChatGPT with this prompt:
Here are my highlights from [Book Title]. Organize them into 5 thematic groups with a one-sentence summary for each group. Then write a 200-word summary of what I took away from this book based only on what I highlighted.
This turns a raw highlight dump into actionable notes. I do this after every book I finish, save the output as a Markdown file in Obsidian, and now I have a searchable knowledge base of everything I’ve read.
4. Deep-dive research while reading
Reading a history book and want to know more about a person mentioned in passing? Or reading sci-fi and want to understand the real science behind a concept?
If you’re reading on a Boox (Android), use a custom “Share to ChatGPT” button. Highlight text → share → ChatGPT opens with the context pre-filled. Ask: “Explain the historical context behind this paragraph” or “Is this scientific concept accurate in 2026?”
On Kindle, the friction is higher — you have to type the query on your phone. But the value is the same: AI turns every curiosity into a 30-second rabbit hole instead of a “I’ll Google that later” that never happens.
5. AI-assisted book discovery
This one doesn’t involve the e-reader at all, but it changes what you read. Tell ChatGPT:
I loved [Book A] and [Book B]. Recommend 5 books I haven’t heard of that a fan of these would love. No bestsellers. Prefer translated fiction or indie published.
The recommendations are consistently better than Amazon’s algorithm because you can specify exactly what you loved — the pacing, the prose style, the emotional tone. Amazon only knows what you bought.