> For the complete documentation index, see [llms.txt](https://docs.aggregated.app/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aggregated.app/overview/introduction.md).

# Introduction

## Welcome to Aggregated AI "Aggre"

Aggre rolls up the best AI models into one app under a single subscription; offering the optimal workflow for tasks that require multiple models.&#x20;

#### You can download the Aggre app now on the [Apple App Store](https://apps.apple.com/us/app/aggre/id6474451273) and [Google Play Store](https://play.google.com/store/apps/details?id=com.babysamo.babyai\&pcampaignid=web_share)!

<figure><img src="/files/EyaJbOyAaHF01THiKKa4" alt="" width="320"><figcaption></figcaption></figure>

## How Aggre Works

### Use Case A: [Swipe Between AI Models Efficiently](/overview/swipe-between-ai-models-efficiently.md)

1. Quickly navigate between different AI models from a single mobile app experience under one subscription
2. Interface with one AI model at a time and swipe between models based on the task at hand

### Use Case B: [Use Many AI Models at Once](/overview/use-many-ai-models-at-once.md) &#x20;

1. Submit a prompt via Aggre's chat interface
2. Aggre routes the prompt through the APIs of top AI models like GPT-4, Claude v2 and Perplexity
3. Aggre answers the prompt with responses from the top AI models
4. Rate which AI model provided the best answer in exchange for a crypto reward (AG token). *This is possible because the data being generated is **really** valuable!*
