# Trigger

Input components enable you to gather data from the user of your flow and integrate various types of media, including text, images, videos, and audio.

## 1. Automation

With automation, you can choose one of types:

* At scheduled time
* Webhook
* On App Event
* Microsoft Outlook

<figure><img src="/files/jojnrD9PhleFYRffsfiY" alt=""><figcaption></figcaption></figure>

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## 2. Apps&#x20;

With the app, you can choose multiple types:

* Short Text
* Long Text
* Checkbox
* Number
* File Upload
* Audio Record
* Dropdown List
* Time

For each type, you will need to input the corresponding information.

<figure><img src="/files/eOxoTTuLQWcmQT4xhpZH" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/c8f3UrxA9PfaLxC84F9V" alt=""><figcaption></figcaption></figure>

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## 3. AI Chat & Agent

With "AI chat & Agent" , you can view and update the Trigger&#x20;

Follow these steps:

**Step 1**: At "setting AI chat & Agent page", switch mode from "**Simple**" to "**Advanced**"

<figure><img src="/files/Y7syyB823NrymLLt0EaB" alt=""><figcaption></figcaption></figure>

**Step 2**: Will display the Popup confirm. Click the button "**Switch**"

<figure><img src="/files/CcmV2Qs4yBF1ZpLN46bO" alt=""><figcaption></figcaption></figure>

**Step 3**: At "Flow setting", you can view the trigger

<figure><img src="/files/GQCxnVvmx8gnXKpaWZiX" alt=""><figcaption></figcaption></figure>

You can switch the toggle for attachments to allow users to attach files in the chat.

<figure><img src="/files/t3uqEwMAFpd178owGPch" alt=""><figcaption></figcaption></figure>

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The following sections detail the available Input components.


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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://docs.diaflow.io/workflow-builder/nodes/trigger.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.