# AI Adoption

AI Adoption helps you track how actively your teams are using AI coding tools across your organization. Using usage data from tools like GitHub Copilot and Cursor, this section surfaces clear metrics such as who is using AI, how often it is used, and how adoption is trending over time.

Use the Copilot and Cursor subarticles to understand exactly what each metric means, how the data is collected, and how to read these views to understand AI adoption across teams.

{% content-ref url="/pages/qyLhZb2vd89rdfCz9Bu7" %}
[Copilot Adoption](/ai-adoption/copilot-adoption.md)
{% endcontent-ref %}

{% content-ref url="/pages/fP1NPa5eiOG31yaTMP9q" %}
[GitHub Copilot: Expanded Metrics Guide](/ai-adoption/copilot-adoption/github-copilot-expanded-metrics-guide.md)
{% endcontent-ref %}

{% content-ref url="/pages/f9FCbzBf98hUdw4pOJne" %}
[Cursor Adoption](/ai-adoption/cursor-adoption.md)
{% endcontent-ref %}

{% content-ref url="/pages/ze2P2vSRg6GXItDKS8NM" %}
[Cursor: Expanded Metrics Guide](/ai-adoption/cursor-adoption/cursor-expanded-metrics-guide.md)
{% endcontent-ref %}


---

# 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://docs.hivel.ai/ai-adoption.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.
