# FAQ

#### **How do you pronounce "Aggre"?**

"Aggre" is pronounced as /ˈɛɡrə/ (Egg-ruh).

#### What is Aggre?

Aggre is a platform that allows users to access multiple top AI models through a single subscription. Users can switch between different AI models based on their specific needs, ensuring they use the best tool for each task.

#### Can I use Aggre on my mobile device?

Yes! Aggre is available on iOS and Android devices via the Apple App Store and Google Play Store.&#x20;

#### **How does Aggre work?**

Aggre routes user prompts through the APIs of various AI models. Users can swipe between models within the app, accessing different AI services without the need for multiple subscriptions.

#### **Why should I use Aggre instead of subscribing to individual AI models?**&#x20;

Aggre offers a cost-effective solution by basing subscription prices on the cost of underlying AI credits, avoiding the high premiums charged by individual providers. It also simplifies the user experience by consolidating multiple AI models into one app.

#### **How do I earn AG tokens?**&#x20;

You earn AG tokens by submitting prompts and rating the performance of AI models. The more you engage with the platform, the more AG tokens you can earn.

#### **How much does an Aggre subscription cost?**

Subscription costs vary based on the tier and quantity of AI credits you choose. Our pricing is designed to be competitive and more affordable than subscribing to multiple AI models individually.


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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.aggregated.app/overview/introduction/faq.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.
