***

title: Core Concepts
description: Key concepts used across the AISquare platform.
------------------------------------------------------------

This guide introduces the key concepts used across the AISquare platform.

Understanding these will help you work with the API more effectively and make sense of how different endpoints relate to each other.

***

## AI Studio

An [**AI Studio**](/docs/product/ai-studios) is a container for AI content and experiences.

Think of it as a workspace or hub where:

* Content is created and organized
* Users interact with AI experiences
* Engagement and activity are tracked

Each AI Studio is identified by a unique `url` (`publication_custom_url`).

Example:

```
ai-research-studio
```

***

## Publication

A **Publication** represents the underlying entity behind an AI Studio.

It contains:

* Metadata (name, logo, description)
* Visibility settings (public, private, team)
* Associated users (creator and co-creators)

In most APIs, "publication" and "AI Studio" are used interchangeably.

***

## Experience

An **Experience** is a structured unit of content inside an AI Studio.

It represents a topic, workflow, or learning module.

Examples:

* "Advanced Machine Learning Models"
* "AI in Healthcare"

Each experience contains one or more **resources**.

***

## Resource

A **Resource** is the actual content within an experience.

AISquare supports multiple resource types:

| Type        | Description                            |
| ----------- | -------------------------------------- |
| `AI_EXPERT` | Interactive expert systems             |
| `AI_NOTE`   | Informational or educational content   |
| `QUEST`     | Task-based or challenge-driven content |
| `PODCAST`   | Audio-based content                    |

### Experience vs Resource

This is important:

* **Experience** = container
* **Resource** = individual item inside it

One experience can have multiple resources.

### Flattened resources

Some APIs return data in a **flattened format**.

This means:

* Each resource is returned as a separate item
* Experience data is repeated for each resource

**Why?** It makes it easier for frontend applications to render lists.

***

## Creator and co-creators

See [Working with creators](/docs/insights/working-with-creators) for API details.

Each AI Studio has:

### Creator

* The owner of the studio
* Manages content and settings

### Co-creators

* Collaborators with specific roles
* Can edit, review, or contribute

Each co-creator has:

* **Role** (editor, reviewer, etc.)
* **Status** (invited, accepted)

***

## Metrics and engagement

See [Metrics and analytics](/docs/insights/metrics-and-analytics) for API details.

AISquare tracks user engagement across experiences and resources.

Common metrics include:

* Views
* Likes
* Shares
* Bookmarks
* Comments

These metrics are used for:

* **Ranking** (trending, popular)
* **Analytics dashboards**
* **Personalization**

***

## Tags and categories

Content can be organized using:

* **Tags** — flexible labels (e.g., `machine-learning`, `ai`)
* **Categories** — structured classification

These are used for:

* Filtering
* Search
* Discovery

***

## Collections

See [Collections](/docs/product/collections) for API details.

A **Collection** is a curated group of experiences.

You can use collections to:

* Create learning paths
* Group related content
* Organize resources for users

Collections support:

* Ordering of experiences
* Visibility control (public, private, team, org)

***

## Activity

See [Activity and personalization](/docs/product/activity-and-personalization) for API details.

AISquare tracks user activity across the platform.

This includes:

* Interactions with experiences
* Content engagement
* Progress and history

Activity data powers:

* Personalization
* Recommendations
* Analytics

***

## Permissions and access

See [Permissions and access control](/docs/data-ux-guides/permissions-and-access-control) for details.

Access to content depends on:

* Publication visibility
* User role (creator, co-creator, member)
* Authentication status

Some endpoints require:

* Membership in a workspace
* Ownership or collaborator access

***

## Putting it all together

Here's how everything connects:

```
AI Studio (Publication)
 ├── Experiences
 │     └── Resources (AI Expert, Note, Quest, Podcast)
 │
 ├── Creator & Co-creators
 │
 ├── Collections (group experiences)
 │
 └── Metrics & Activity
```

***

## Next steps

Now that you understand the core concepts:

* Follow the [Quickstart](/docs/getting-started/quickstart) to make your first request
* Set up [Authentication](/docs/getting-started/authentication) for your integration
* Build your [first integration](/docs/integration-guides/build-your-first-ai-studio-integration)
* Explore [AI Studios](/docs/product/ai-studios) APIs to fetch content
* Use [Collections](/docs/product/collections) APIs to organize experiences
* Learn about [Content modeling](/docs/data-ux-guides/content-modeling-guide) for building your UI
* Understand [Search, filtering, and pagination](/docs/data-ux-guides/search-filtering-and-pagination)