> For the complete documentation index, see [llms.txt](https://docs.contextsdk.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.contextsdk.com/context-decision/advanced/model-distribution-methods.md).

# Model Distribution Methods

After our team trains your custom model using your app's data, it can be deployed directly to your users. A custom-trained model ensures optimal performance tailored specifically to your application and user base.

There are two distribution methods:

{% tabs %}
{% tab title="Over-the-Air (Recommended)" %}
We recommend distributing your machine learning models directly to your app over-the-air. This method provides instant updates, requires minimal system resources, and allows us to iterate faster and more efficiently to further improve your app's performance.

Our OTA rollouts are safe, reliable, and won't affect your app's performance. Our systems continuously monitor the rollout and the resulting conversion performance to ensure everything is working as expected.
{% endtab %}

{% tab title="Custom SDK Binary" %}
Typically, our team will inform you, based on the flows of your app, whether over-the-air updates are possible. If they're not possible, or if you simply choose not to use over-the-air updates, we offer the option of embedding your custom model within a custom-built SDK binary.

To request a custom SDK binary, contact us at <support@contextsdk.com>.
{% endtab %}
{% endtabs %}

See [Analytics & Reporting](/context-decision/advanced/analytics-and-reporting.md) to learn how to monitor model rollouts.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://docs.contextsdk.com/context-decision/advanced/model-distribution-methods.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.