Asset search
find all ComfyUI images using the dreamshaper modelLocate assets by tool, model, prompt content, or any combination of metadata fields.
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Documentation
Ask questions in plain English. The AI Librarian searches, analyses, and organises your creative library with full transparency on which model answered and why.
The AI Librarian is available from any collection or the main library view. There are two ways to interact with it.
find my best landscape imagesThe Librarian responds with matching results and an explanation of how it found them.
@librarian followed by your question.@librarian which assets here need tags?The response is aware of the collection you are working in.
The AI Librarian handles a range of query types. Each example below can be typed exactly as shown.
find all ComfyUI images using the dreamshaper modelLocate assets by tool, model, prompt content, or any combination of metadata fields.
summarise what’s in this collectionGet an overview of asset types, themes, and statistics for the current collection.
suggest tags for the untagged assetsThe Librarian analyses visual content and metadata to propose relevant tags.
what changed between these two workflow versions?Compare ComfyUI workflow JSON to identify parameter differences and node changes.
show the evolution chain for this imageTrace the full generation history: upscales, variations, and remixes from the original seed.
which sampler gives the best results for this prompt?Analyse generation parameters across your library to surface patterns and recommendations.
The AI Librarian automatically selects the most appropriate AI model for each query. You do not need to choose a model yourself.
how many images are in this collection?Simple lookup. Routed to a fast model for instant results.
compare the colour palettes across these two workflowsComplex analysis. Routed to a more capable model.
suggest five tags for each untagged assetMulti-asset analysis. Routed based on collection size and complexity.
Automatic routing optimises for both speed and cost. Simple queries return faster and use fewer credits, while complex queries get the full reasoning power they require. The routing logic improves over time as usage patterns are analysed.
Every AI Librarian response carries metadata so you always know what generated the answer and why.
Model usedThe specific AI model that processed the query (e.g. GPT-4o, Claude Sonnet, Gemini Flash).
TimestampWhen the response was generated, recorded in UTC for audit purposes.
Query classificationThe category assigned to your query (search, summary, analysis, comparison, or lineage).
Routing reasonA brief explanation of why this model was selected for your query.
Accessible from Settings, the AI usage dashboard shows:
The lineage metadata supports EU AI Act transparency requirements by recording:
When you @mention the Librarian in a collection note, it automatically receives context about that collection. This means answers are specific to the collection you are working in.
The collection name, description, and any custom metadata fields you have set.
Thumbnails from the assets in the collection, enabling visual understanding of the content.
The conversation thread in the note, so the Librarian can follow the discussion and respond in context.
@librarian summarise the themes in this collectionThe Librarian analyses the collection assets and returns a thematic breakdown, noting dominant styles, subjects, and generation tools used.
@librarian are there any portrait-orientation images missing?The Librarian checks the dimensions of existing assets and reports whether portrait-orientation images are absent.
Each AI Librarian query costs credits. The amount varies depending on which model is routed to, so simpler queries cost less.
The estimated credit cost is shown before each query is sent. You can review the cost and decide whether to proceed.
If your account does not have enough credits to process a query, the InsufficientCreditsModal appears with options to purchase more or adjust your query.
Credits are shared across all AI features in Numonic, including the Librarian, session reflections, and prompt optimisation. Your AI usage dashboard shows the breakdown.
To use fewer credits, phrase questions clearly and specifically. A precise query like find landscape images tagged "approved" routes to a fast model and costs less than a broad request like tell me everything about my library, which requires a more capable model.