# Home Dashboards

Karini AI’s Home dashboards offer you a single pane of glass to view all your resources, such as users, models, data connectors, recipes, prompts, copilots, embedded items, and recipe runs within your organization. You can get a high-level overview of your complete portfolio, and you can also get detailed analysis by diving deeper into each stats tile. In the following example, 52 LLM endpoints and 16 embedding model endpoints have been registered in Karini’s model hub within your organization. You can click the link to view the details for deeper analysis. You can also set the refresh interval for these statistics.&#x20;

The following screenshot shows an example of a statistical overview of an organization’s assets in Karini.

<figure><img src="/files/SJDAwGCpxV93NZ7aecaI" alt=""><figcaption></figcaption></figure>

**Users:**&#x20;

Total number of users added to the Organization.

**Datasets:**&#x20;

Total number of datasets created within an Organization.&#x20;

**Copilots:**&#x20;

Total number of Copilots deployed within an Organization.&#x20;

**Embedding Model Endpoints:**&#x20;

Total number of  embedding model endpoints registered in the model hub within an Organization.

**LLM Endpoints:**&#x20;

Total number of  LLM endpoints registered in the model hub within an Organization.

**Prompts:**&#x20;

Total number of prompts created within an Organization.&#x20;

**Prompt Templates:**

Total number of prompt templates available within an Organization.&#x20;

**Recipes**:&#x20;

Total number of recipes created within an Organization.&#x20;

**Recipe Runs:**&#x20;

Total number of recipe runs executed within an Organization.&#x20;

**Recipe Evaluation Runs:**&#x20;

Total number of recipe evaluation runs executed within an Organization.&#x20;


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://karini-ai.gitbook.io/karini-ai-documentation/dashboard-overview/home-dashboards.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
