30 Questions to Ask Your AI Librarian
30 copy-and-paste questions to explore your taste with your AI librarian — patterns, recommendations, cross-media links, single works, and the gaps in your shelves.
Thirty questions, in six groups: the patterns in your taste, what to pick next, connections across your media, a single work up close, the gaps in your shelves, and how your taste has changed. Copy any of them straight into your AI librarian. Every answer comes from your own collection rather than the whole internet, so the conversation stays about you. The best question is the one you actually want answered tonight, so start there.
Your AI librarian only knows what you’ve added. That limit is the point. Ask a general chatbot for a recommendation and it reaches for the canon everyone already knows. Ask your librarian, and it reaches for the books, films, albums, and shows you chose to keep.
Below are thirty that work, grouped by what you’re trying to get out of the conversation. Swap the bracketed titles for things in your own library.
What makes a question land
A vague question gets a vague answer. A few habits make the difference:
- Name real items. “I loved [title], what comes closest in my library” beats “recommend something.”
- Give context. Mood, length, the occasion, the time you have. “Something I can finish on a flight” is easy to answer.
- Ask for the reasoning. “Why would I like this” tells you more than the pick alone, and it sharpens how you talk about your own taste.
- Combine filters. “Five-star sci-fi I haven’t reread in years” is a perfectly good ask.
- Leave room to be surprised. Open prompts like “what do you notice” let the librarian show you something you’d never have searched for.
Questions that show you your patterns
For the moment you want to feel understood rather than served a list.
- “What patterns do you notice across everything I’ve rated highly?”
- “Do I have a type in movies? Directors, eras, or moods I keep coming back to.”
- “What do my five-star books have in common that I might have missed?”
- “What does my music collection say about me?”
- “Which themes show up across my books, films, and shows at the same time?”
Each of these reads your ratings and notes for the through-line, then says it back to you in plain language.
Questions for what to pick next
For the night you’re staring at a backlog and can’t choose.
- “What should I read next, based on what I’ve loved lately?”
- “I want something cozy and low-stakes tonight. What fits?”
- “Recommend something I already saved but never got to.”
- “I just finished [title] and loved it. What in my library comes closest?”
- “Give me something outside my usual taste, and tell me why it might work.”
The librarian weighs your highest ratings, your recent activity, and your unfinished saves, then explains the match instead of dropping a title and walking off.
Questions that connect across your media
This is the part no single-format tracker can do, because your books, films, albums, and shows sit in one library.
- “Find an album that matches the mood of [book or film I love].”
- “Which books in my library inspired films I’ve also rated?”
- “What would I read to get the feeling of [favorite show] on the page?”
- “Show me creators in my library who work across more than one medium.”
- “Build me an evening: a film, then an album to play after, both from my shelves.”
Questions about a single work
For when you want to go deeper on one thing rather than wider across many.
- “Why do you think I rated [title] so highly?”
- “What is [book] really about, underneath the plot?”
- “I logged both the book and the film of [title]. Which did I respond to more, and why?”
- “How does [album] sit against the rest of [artist]‘s work in my library?”
- “What should I watch for on a rewatch of [film] that I’d miss the first time?”
Questions about your gaps
For the times you suspect you’re in a rut and want to see the edges of it.
- “What’s missing from my library that someone with my taste usually loves?”
- “What have I kept meaning to finish and never do?”
- “What’s the strangest item in my collection, and what does it say about me?”
- “Which genres am I quietly avoiding?”
- “Surprise me with something I added ages ago and forgot.”
Questions about how your taste has changed
For the long view, once you’ve been adding to your library for a while.
- “How has my taste shifted over the past few years?”
- “What was I into this time last year?”
- “What have I finished recently, and what does that run say about my mood?”
- “Have my ratings gotten more or less generous over time?”
- “If you mapped my taste as a story, where am I in it now?”
The six groups at a glance
| Group | What you’re after | A question to start with |
|---|---|---|
| Patterns | To feel understood | ”What patterns do you notice across everything I’ve rated highly?” |
| Next pick | To stop scrolling and choose | ”What should I read next, based on what I’ve loved lately?” |
| Cross-media | The thing only one library can do | ”Find an album that matches the mood of [book or film I love].” |
| A single work | To go deeper on one thing | ”Why do you think I rated [title] so highly?” |
| Gaps | To see your blind spots | ”What’s missing that someone with my taste usually loves?” |
| Taste over time | The long view | ”How has my taste shifted over the past few years?” |
Where to start
If your library is full and you’ve never really talked to it: open with a pattern question. “What do you notice about my taste” is the fastest way to feel the difference between a tracker and a librarian.
If you just need to pick something tonight: go straight to the next-pick group, and name what you’re in the mood for.
If your library is still small: add a handful more books, films, or albums first, then ask “what do you notice.” A few items isn’t enough signal to read; a few dozen is.
If you want the trick no other app has: ask a cross-media question. The link between a novel you loved and an album you’d never have connected to it is the moment the whole thing clicks.
The honest answer
The exact thirty matter less than the habit. A librarian gets more useful the more you add and the more you tell it why something landed. Ask follow-ups. Say when a recommendation misses. Reference your own notes.
What it won’t do: tell you what’s trending, what comes out next week, or what your friends are reading. It doesn’t know the wider catalog, only your shelf. For exploring your taste, that’s the whole advantage.
For the full range of what your librarian can handle, see what you can ask your AI librarian. To understand the pattern-finding underneath, see how to find patterns in your media collection. For where the librarian lives, see Achriom is now in ChatGPT, and for one cross-media trick, read discover music from the books you love.
Common questions
Where do I talk to my AI librarian?
Achriom runs as an app inside ChatGPT. Connect your library once, then ask your librarian in plain language. It reads across your books, films, albums, TV, and anime to answer.
Do I have to phrase questions a certain way?
No. Plain language works. Specifics help: name the items you mean, say what mood you’re in, and ask for the reasoning behind a pick when you want it.
Will my librarian know about books or films I haven’t added?
No, and that’s deliberate. It only knows what’s in your library, which keeps the conversation about your taste instead of the entire catalog of recorded culture.
Can I ask follow-up questions?
Yes. The librarian holds context within a conversation. If a recommendation doesn’t land, say why, and the next suggestion adjusts.
How many questions can I ask?
The free tier includes 50 librarian messages a month and unlimited library items. Pro ($9.99/month) makes the conversations unlimited.
What’s the single best question to start with?
“What do you notice about my taste?” It works the moment your library has enough in it, and it usually surfaces something you hadn’t put into words yet.