AISquare
Studios

Experiences and resources

The content model inside a Studio. An experience is a container; a resource is the item inside it. Resources come in four types: AI Expert, Note, Quest, and Podcast.

A Studio turns governed intelligence into things a person opens and uses. Those things have a shape. A Studio is made of experiences, and an experience is made of resources. Get this one distinction right and the rest of the model follows.

Experience and resource

These two are easy to conflate, so keep the line sharp.

  • An experience is a container: a topic, a workflow, or a module, such as "Advanced Machine Learning Models" or "Our Billing Service." It groups related content but is not itself the content.
  • A resource is the item inside an experience: the actual thing a person reads, asks, or works through.

Container, not content

One experience holds many resources. When you are deciding where something belongs, ask whether it is the shelf or the thing on the shelf. The experience is the shelf.

Experience: Our Billing Service
 |-- Resource: Webhook retry expert   (AI Expert)
 |-- Resource: Refund policy           (Note)
 '-- Resource: Onboarding walkthrough  (Quest)

The four resource types

Every resource has exactly one type. The type decides how the resource behaves and how a frontend renders it.

TypeWhat it isDrawn from the graph as
AI_EXPERTAn interactive expert you can askAnswers carrying the reasoning and evidence behind them
AI_NOTEInformational or educational contentA written explanation grounded in governed decisions
QUESTA task-based or challenge-driven flowA guided path with each step checked against policy
PODCASTAudio contentA narrated summary generated from the same record

The types matter because a Studio is not a generic CMS. Each type is a different way of consuming the reasoning and memory graph. An AI Expert answers a question on demand; a Note presents a settled explanation; a Quest walks someone through a process; a Podcast narrates it. The knowledge underneath is the same governed record. The resource type is how it is served.

Why an AI Expert is more than a chatbot

An AI_EXPERT resource answers from the graph, so its replies can show the claims and evidence behind them and inherit the corrections your team already made. That is the difference between a chatbot that guesses and an expert that explains why. The same governed memory that made the decision trustworthy is what makes the answer trustworthy.

How a Studio is put together

Experiences and resources sit inside the wider Studio model. The full hierarchy:

AI Studio (Publication)
 |-- Experiences
 |     '-- Resources (AI Expert, Note, Quest, Podcast)
 |-- Creator and co-creators
 |-- Collections (group experiences)
 '-- Metrics and Activity
  • Creator and co-creators are the humans who own the Studio. The creator owns it; co-creators collaborate with a role (such as editor or reviewer) and a status (invited or accepted). Their corrections are what keep the content honest over time.
  • Collections group experiences into ordered sets, such as a learning path or a course.
  • Metrics and activity track engagement (views, likes, shares, bookmarks) and power ranking and personalization.

For the entity definitions and the API fields behind each of these, see Core Concepts.

Flattened and nested responses

The API returns this content in two shapes, and the right one depends on what you are building.

  • Flattened returns one row per resource, with the parent experience repeated on each row. It looks redundant, and that is the point: a frontend can render the rows as a flat list with no joining. Use it for feeds, search results, and discovery pages.
  • Nested keeps resources inside their experience. Use it for a detailed experience view where the grouping is what matters.

Turning these responses into a UI (feeds, cards, rendering by resource type) is the subject of the Content modeling guide.

Next steps

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