# Categorize clothing automatically

Rcore AI is an optional final step in the addon process. It will do it's best to assign name and category (polo, shirt, hoodie..) to each of your addon clothing, as well as improve the color recognition.

{% hint style="danger" %}
Make sure to first complete the [previous steps](/paid-resources/rcore_clothing/pipeline.md) before using Rcore AI.
{% endhint %}

{% hint style="warning" %}
👉 This is a paid feature. Each piece of addon clothing costs 1 credit, find out more below.

This step is **optional**, you can do all of this manually and easily via [admin mode](/paid-resources/rcore_clothing/admin.md) in-game.
{% endhint %}

{% hint style="warning" %}
We provide no guarantee on the results. We used it to categorize all base GTA clothes, but sometimes it gets things wrong.
{% endhint %}

### How many credits do I need?

Go to server console/txadmin and run `rcore_clothing_ai` command. This will tell you how many addon clothes remain to be processed./ Each remaining addon clothing costs 1 credit.

### How to buy credits?

* [1000 credits](https://store.rcore.cz/package/6538536)
* [3000 credits](https://store.rcore.cz/package/6538539)
* [5000 credits](https://store.rcore.cz/package/6377949)
* [10 000 credits](https://store.rcore.cz/package/6538542)

### How to claim credits after purchase?

Go to server console/txadmin and run `rcore_clothing_credit_claim <tebex-order-id>`

The `tebex-order-id` must be the ID of the order you bought the AI credits with.

Example: `rcore_clothing_credit_claim tbx-123456789-a1aa1a`

### How to check how many remaining credits I have?

Go to server console/txadmin and run `rcore_clothing_credit`.

### How to use Rcore AI?

After claiming the credits, go to the server console and run `rcore_clothing_ai`.


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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://documentation.rcore.cz/paid-resources/rcore_clothing/ai.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.
