What Can You Actually Ask Your AI Librarian?

Update, May 16, 2026: Achriom is now available as an official ChatGPT app. Open it in ChatGPT, read the launch announcement, then come back here for the full list of what you can ask.

Achriom’s AI librarian knows your entire media collection. But what can you actually ask it?

This is a comprehensive guide to the kinds of questions that work - organized by what you’re trying to accomplish.

Unlike chatbots that search the internet, your librarian only knows what’s in your library. That’s the point. It’s a conversation about your taste, not everyone’s.

Recommendations

Simple Recommendations

“What should I read next?” The librarian looks at your highest-rated books, your recent activity, and what you’re currently reading. It suggests something from your “Want to” list or recommends adding something new.

“Recommend a movie I haven’t watched yet.” It checks your library for movies marked “Want to” or suggests something based on films you’ve rated highly.

“What album should I listen to today?” It picks from your collection based on mood, recent listening patterns, and what you’ve rated highly.

Specific Recommendations

“Suggest something based on my highest-rated sci-fi books.” Filters to a genre, looks at what you loved, and finds connections or similar items.

“I loved The Leftovers. What should I watch next?” Uses a specific item as reference. The librarian explains what made that item work for you and suggests something with similar qualities.

“Recommend something I own on vinyl but haven’t listened to yet.” Combines status filtering with recommendations. Good for rediscovering your own collection.

Mood-Based Recommendations

“I want something uplifting and short.” Describe the feeling you’re after. The librarian interprets mood descriptors and matches them to items in your library.

“Give me something cozy and low-stakes.” Mood-based requests work across all media types. The librarian understands “cozy” differently for books, movies, and albums.

“I need a good cry. What should I watch?” Emotional tone requests. The librarian knows which items in your library hit emotional beats.

Insights About Your Collection

Pattern Recognition

“What patterns do you notice in my collection?” Open-ended analysis. The librarian surfaces themes, genres, creators, and stylistic tendencies you gravitate toward.

“What genres do I read most?” Quantitative breakdown. You get percentages and examples.

“Do I have a type in movies?” Identifies recurring elements: directors, actors, time periods, styles, themes.

“What do my highest-rated items have in common?” The librarian analyzes what you love and explains the through-line.

Deeper Questions

“Tell me about the themes in my favorite books.” Goes beyond genre to explore narrative patterns, character types, and ideas.

“Why do I keep rating dystopian fiction so highly?” The librarian reflects back what it sees and helps you articulate your taste.

“What does my music collection say about me?” Cultural and emotional analysis based on what you listen to.

Timeline Analysis

“What was I into last year?” Temporal analysis. The librarian shows what you consumed during a specific period.

“How has my taste evolved over time?” Compares early ratings to recent ones and identifies shifts.

“What did I finish in December?” Simple timeline filtering with context.

Cross-Media Connections

This is where Achriom’s unified library shines.

“What books inspired movies I loved?” The librarian identifies adaptations and source material connections.

“Find music that matches the vibe of [book or movie].” Translates aesthetic or emotional qualities across media types.

“What do Kid A by Radiohead and 1984 by Orwell have in common?” Thematic analysis across different art forms. The librarian finds unexpected connections.

“Show me movies directed by authors I like.” Identifies creators who work across multiple media.

“What albums came out the same year as my favorite books?” Cultural context connections. Useful for understanding zeitgeist.

Comparisons

“How does this compare to other albums I like?” Explains similarities and differences relative to your collection.

“Is Dune similar to anything in my library?” Uses a specific item as reference and finds parallels.

“Which is better: the book or the movie?” The librarian compares your ratings and notes if you’ve logged both.

“Why did I rate this higher than that?” Asks the librarian to interpret your own preferences.

Discovery

Rediscovery

“What’s in my library I haven’t finished yet?” Filters by status. Useful for clearing backlogs.

“Show me something I added years ago but forgot about.” Temporal discovery. The librarian surfaces old additions you might want to revisit.

“Find me a comfort re-read from my own collection.” Suggests items you’ve already enjoyed that fit a current mood.

Exploration

“Recommend something outside my usual taste.” Intentional exploration. The librarian identifies what’s different and explains why it might work.

“What’s the weirdest thing in my library?” Outliers and anomalies. The librarian finds what doesn’t fit the pattern.

“Surprise me.” Open-ended prompt. The librarian picks something unexpected and explains the choice.

Practical Questions

“What should I re-watch before the sequel comes out?” Context-aware recommendations tied to real-world events.

“I’m going on a trip. What should I bring to read?” The librarian factors in mood, length, and portability.

“What can I finish in one sitting?” Filters by runtime or page count based on your reading/watching speed.

“What’s a good palate cleanser after [heavy item]?” Tonal contrast recommendations.

Metadata Questions

“How many books do I have in my library?” Simple counts and statistics.

“What’s the longest movie I’ve watched?” Sorts by specific attributes.

“Show me everything by [creator].” Filters by author, director, artist, or actor.

“What do I own on vinyl vs. streaming?” Format filtering (if you track ownership type).

Advanced Prompts

Multi-Step Reasoning

“I loved Station Eleven. What other post-apocalyptic stories in my library focus on art and culture instead of survival?” Combines genre filtering with thematic specificity.

“Find books in my library written by directors whose movies I’ve rated 5 stars.” Cross-media creator connections with rating filters.

Hypotheticals

“If I were to create a course on existentialism, what from my library would I assign?” The librarian curates based on thematic coherence and difficulty progression.

“Build me a playlist of albums that sound like a rainy Sunday.” Synesthetic prompts. The librarian interprets abstract descriptors.

Meta Questions

“What questions should I be asking you?” The librarian suggests prompts based on what’s in your library.

“What do you wish I would ask about?” Surfaces interesting patterns you might not have noticed.

What Doesn’t Work

Questions about items not in your library: The librarian doesn’t have access to the entire catalog of all media. It only knows what you’ve added.

Current events or release dates: It doesn’t know what’s coming out next week or what’s trending. It only knows your collection.

Purchases or streaming links: It can’t buy things for you or link to streaming services (yet).

Other people’s collections: It doesn’t know what your friends have rated or what’s popular in aggregate.

Tips for Better Conversations

Be specific about context: “I want something I can finish on a flight” is more useful than “recommend a book.”

Ask follow-ups: The librarian remembers context within a conversation. If a recommendation doesn’t land, say why.

Reference your notes: If you’ve written about what you liked, the librarian can use that context.

Combine filters: “Show me 5-star sci-fi I haven’t re-read in five years” is perfectly valid.

Use mood descriptors: Words like “cozy,” “challenging,” “escapist,” or “thought-provoking” work well.

Ask “why”: “Why do you think I’d like this?” The librarian explains its reasoning.

Starting Points

Not sure what to ask? Try these:

• “What do you notice about my taste?”
• “What should I revisit from my own library?”
• “Recommend something I wouldn’t normally pick.”
• “What connects my favorite items?”
• “Show me something I’ve been meaning to finish.”

The more you talk to your librarian, the more useful it becomes. It learns what kinds of recommendations resonate and what patterns matter to you.

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Ready to start a conversation? Open Achriom in ChatGPT, or read the launch announcement for what’s new.