# Partnerships

AI buddy powered by the CohortX protocol is the the first first-ever decentralized application (DAPP) launch on 𝗪𝗘𝗖𝗢.

𝗔𝗜 𝗕𝘂𝗱𝗱𝘆 represents the culmination of groundbreaking AI training innovation, designed to deliver a one-of-a-kind user experience. Now live on Telegram, 𝗔𝗜 𝗕𝘂𝗱𝗱𝘆 opens the door to limitless interactions with your dream companions. 

{% embed url="<https://x.com/i/status/1848364725769556455>" %}

Here’s what makes 𝗔𝗜 𝗕𝘂𝗱𝗱𝘆 a game-changer:&#x20;

1. 𝗣𝗹𝗮𝘆-𝘁𝗼-𝗔𝗶𝗿𝗱𝗿𝗼𝗽: Train your AI, play exciting games, and earn [$LOVE](https://x.com/search?q=%24LOVE\&src=cashtag_click) coins and 𝗘𝗚𝗚𝘀 in-game. 𝗘𝗚𝗚𝘀 can be converted to [$CHX](https://x.com/search?q=%24CHX\&src=cashtag_click) tokens in the future, allowing you to combine fun with real rewards.
2. 𝗕𝘂𝗶𝗹𝘁 𝗼𝗻 𝗧𝗲𝗹𝗲𝗴𝗿𝗮𝗺: Dive into 𝗔𝗜 𝗕𝘂𝗱𝗱𝘆 directly from the Telegram app for a seamless and accessible experience.&#x20;
3. 𝗠𝘂𝗹𝘁𝗶-𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗦𝘂𝗽𝗽𝗼𝗿𝘁: Break down language barriers and connect with users across the globe.&#x20;
4. 𝗔𝗜 𝗮𝗻𝗱 𝗨𝘀𝗲𝗿-𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗖𝗼𝗻𝘁𝗲𝗻𝘁: Immerse yourself in rich, dynamic interactions powered by advanced AI and contributions from the community. 𝗚𝗲𝘁 𝗦𝘁𝗮𝗿𝘁𝗲𝗱 𝗮𝗻𝗱 𝗨𝗻𝗹𝗼𝗰𝗸 𝗘𝘅𝗰𝗹𝘂𝘀𝗶𝘃𝗲 𝗥𝗲𝘄𝗮𝗿𝗱𝘀 Join 𝗔𝗜 𝗕𝘂𝗱𝗱𝘆 now with 𝗪𝗘𝗖𝗢 and be among the first to unlock 𝗲𝘅𝗰𝗹𝘂𝘀𝗶𝘃𝗲 𝗿𝗲𝘄𝗮𝗿𝗱𝘀.&#x20;

With 𝗪𝗘𝗖𝗢, users will gain access to exciting features and bonuses designed to enrich their experience within the WELL Ecosystem. This is more than just an app—it’s a milestone in the WELL Ecosystem and a glimpse into the future of AI-powered interactions. 𝗔𝗜 𝗕𝘂𝗱𝗱𝘆 sets the stage for what’s possible as we continue to push the boundaries of innovation within the WELL Ecosystem.


---

# 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.well.eco/weco/partnerships.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.