Product · Organize

Your library has an AI Librarian.

An assistant that understands your creative library. Ask it to find assets, explain a collection, or trace how an image evolved. Multi-model routing picks a fitting model for each query, and full lineage tracking shows exactly which one answered.

Start free See the model registry

Multi-model routing
Collection context
Full transparency

A big library is only useful if you can ask it questions.

Every asset you keep carries a record: the prompt behind it, the model that made it, the collection it belongs to. That record is what makes a library searchable, but scrolling through it by hand does not scale. The Librarian reads that record for you and answers in plain language, so the size of your library becomes an advantage instead of a chore.

How it works

Ask a question, get an answer you can trace.

A query moves through three steps, and the last one is what keeps it honest: every answer arrives with the model that produced it attached.

Step 1
Ask in plain language
Ask about your library the way you would ask a colleague. The Librarian reads collection context and asset thumbnails, then answers with specific, actionable detail rather than a link dump.
Step 2
Routed to the right model
Each query is classified by intent and routed to a fitting provider. Fast models handle quick lookups, more capable models handle deeper analysis, so you are not paying for reasoning a lookup never needed.
Step 3
Answer with its lineage
Every reply records which model produced it, and when. That lineage travels with the note, so the AI usage dashboard can break down model use over time.

Capabilities

Everything your library assistant can do.

Natural language queries

Ask, do not hunt

Ask questions like find my best landscape images from last week, or what model was used in this collection. The Librarian searches, filters, and explains.

Visual understanding

Sees your work

The Librarian reads collection thumbnails and asset previews, so it has visual context when it answers questions about a piece.

Collection mentions

Context aware

Mention the Librarian in a collection or asset note and it replies with awareness of which collection you are working in.

Search and lineage tools

Grounded answers

During a conversation the Librarian can search your vault and trace a Midjourney evolution chain, so its answers point at real assets.

AI usage dashboard

See the spend

Track how AI features are used across your library. See a model breakdown, usage over time, and credit consumption in one place.

Credit-gated usage

No surprises

Librarian queries draw on your credit balance, and the cost is estimated before a query runs, with a clear prompt if you need more.

Built for real work

For creators and for teams.

For individual creators

Stop scrolling to find things. Ask the Librarian to surface assets by description, trace how an image evolved, or explain what a collection contains, all without leaving your notes.

For studios and teams

Give every team member an assistant that knows the shared library. The Librarian answers questions about shared collections and surfaces relevant work, which helps new members get oriented faster.

Part of Organize

Get started

Meet your AI Librarian.

An assistant for your entire creative library. Ask anything, and get answers with full transparency about which model replied.

Start freeMulti-model, credit-gated

Your library has an AI Librarian.

Multi-model routing

Collection context

Full transparency

A big library is only useful if you can ask it questions.

Ask a question, get an answer you can trace.

A query moves through three steps, and the last one is what keeps it honest: every answer arrives with the model that produced it attached.

Step 1

Ask in plain language

Ask about your library the way you would ask a colleague. The Librarian reads collection context and asset thumbnails, then answers with specific, actionable detail rather than a link dump.

Step 2

Routed to the right model

Each query is classified by intent and routed to a fitting provider. Fast models handle quick lookups, more capable models handle deeper analysis, so you are not paying for reasoning a lookup never needed.

Step 3

Answer with its lineage

Every reply records which model produced it, and when. That lineage travels with the note, so the AI usage dashboard can break down model use over time.

Everything your library assistant can do.

Natural language queries

Ask, do not hunt

Ask questions like find my best landscape images from last week, or what model was used in this collection. The Librarian searches, filters, and explains.

Visual understanding

Sees your work

The Librarian reads collection thumbnails and asset previews, so it has visual context when it answers questions about a piece.

Collection mentions

Context aware

Mention the Librarian in a collection or asset note and it replies with awareness of which collection you are working in.

Search and lineage tools

Grounded answers

During a conversation the Librarian can search your vault and trace a Midjourney evolution chain, so its answers point at real assets.

AI usage dashboard

See the spend

Track how AI features are used across your library. See a model breakdown, usage over time, and credit consumption in one place.

Credit-gated usage

No surprises

Librarian queries draw on your credit balance, and the cost is estimated before a query runs, with a clear prompt if you need more.

For creators and for teams.

For individual creators

Stop scrolling to find things. Ask the Librarian to surface assets by description, trace how an image evolved, or explain what a collection contains, all without leaving your notes.

For studios and teams

Give every team member an assistant that knows the shared library. The Librarian answers questions about shared collections and surfaces relevant work, which helps new members get oriented faster.

A big library is only useful if you can ask it questions.

Ask a question, get an answer you can trace.

Everything your library assistant can do.

For creators and for teams.

The Librarian sits on top of your organized library.

Meet your AI Librarian.

A big library is only useful if you can ask it questions.

Ask a question, get an answer you can trace.

Everything your library assistant can do.

For creators and for teams.

The Librarian sits on top of your organized library.

Meet your AI Librarian.