# Running Agents

Agents don’t run on their own—they need to be **triggered manually or programmatically** using one of the following methods:

* **Agent Chat Component:** Add this to your app’s UI to let users interact with the agent directly.

{% @arcade/embed flowId="npghiU9hNeEStFMmKARQ" url="<https://app.arcade.software/share/npghiU9hNeEStFMmKARQ>" %}

* **Ask Agent Action:** Use this Action within workflows or automations to run the agent at the right moment.

<figure><img src="/files/fHSO57UVC50pB5z991OD" alt=""><figcaption></figcaption></figure>

* **Another Agent:** You can chain agents together, allowing one agent to call another as part of its logic.

<figure><img src="/files/TT59iUH3iBv8VGdGFHVr" alt=""><figcaption></figcaption></figure>

{% hint style="success" %}
**Note:** To run an agent automatically—such as on a schedule or after receiving a webhook—you'll need to create an Automation that includes the **Invoke Agent** block.
{% endhint %}

{% content-ref url="/pages/qmG6B8DT5DDHSkQXDhhM" %}
[Triggers](/user-guide/workflow/triggers.md)
{% endcontent-ref %}

{% content-ref url="/pages/-MPoTxvAsdJ7fwhG2z0T" %}
[⚙️    Automations & Workflow](/user-guide/workflow.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.jetadmin.io/agents-1/running-agents.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.