# Intro
Sometimes websites restock products at random times. **Automation** lets you check out these random restocks without needing to keep tasks running all the time. Click the **Automation** button in the top navigation bar to begin.
{% hint style="danger" %}
Before using automations, make sure you have completed the steps in the **Initial Setups** section first.
{% endhint %}
It is important to first understand the core idea behind automations. Automations are essentially pre-created tasks that are connected to Valor’s server-side monitors. This means your tasks are not actively running and using your proxies at all times. Instead, they are only created and started when our server-side monitor detects a product restock. This means automations only run when a product first goes live or when it goes out of stock and then comes back in stock. They will not start for products or sizes that are already in stock.
To begin, click the blue **Add** icon in the top left corner. This will open a window where you can create an automation group and give it a name.
Automation groups help keep your automations organized. For example, you can create separate groups for different addresses, sites, or tasks. Once a group has been created, you can add and manage automations inside that group.
After creating an automation group, you can then create **Monitors**, which are specific settings that control when you want your tasks to start. To add a **Monitor** to the selected group, click the second blue **Add** icon to the right of the group name at the top of the page. This will open the Monitor creation window for that group.
Head to the next section to learn how to set up monitors for specific modules.
---
# 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.valoraio.com/automation/intro.md?ask=
```
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.