> For the complete documentation index, see [llms.txt](https://docs.jetadmin.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.jetadmin.io/ai-agents/agent-templates.md).

# Agent templates

JetAdmin provides prebuilt agent templates to help you get started quickly.

These templates cover common use cases and include ready-to-use instructions and configurations.

### Accessing and Using Templates

To get started with templates in JetAdmin:

1. Click on the **Agents** icon
2. Open the agent workspace
3. Browse the available templates
4. Select a template that matches your use case
5. Customize instructions, tools, and settings as needed

Templates are designed as a starting point, adjust them to fully match your requirements.

{% hint style="success" %}

#### Choosing Between Templates and Scratch

**Use a template when:**

* Your use case is similar to common scenarios
* You want a faster setup
* You prefer a guided starting point

**Start from scratch when:**

* Your use case is unique or complex
* You need full control over logic and behavior
  {% endhint %}

{% @arcade/embed flowId="v5wuQBO1pEK3iuS5n3sy" url="<https://app.arcade.software/share/v5wuQBO1pEK3iuS5n3sy>" %}

{% hint style="info" %}

#### &#x20;No Matching Template?

If you don’t find a suitable template, you can create an agent from scratch or use the built-in AI assistant to generate instructions and configurations for you.
{% endhint %}


---

# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.jetadmin.io/ai-agents/agent-templates.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.