# Twin AI

Through our ecosystem partnerships you can utilize the ANGL token to grow your AI Twin which learns and customizes support with prompts, documents & other data stream inputs you select. &#x20;

The more you facilitate with your Twin the more your Twin aligns with your specific objectives.&#x20;

## On-Demand AI Services for Everyday and Expert Use

**Angel Twins provide real-time support for tasks like scheduling, marketing, and analytics. Designed for both daily productivity and advanced use cases, they adapt instantly to individual goals.**

### AI-Powered Marketplace&#x20;

Decentralized marketplace enables businesses to buy AI-powered sales bots and individuals to sell AI-driven tools, with developers.&#x20;

### Tokenized AI-Generated Content&#x20;

ANGL tokens facilitate the monetization of AI-generated media, allowing users to license or own exclusive videos, art, music, or text created by customizable AI Twins on decentralized platforms.&#x20;

### Data Monetization & Ownership&#x20;

Users earn ANGL by opting in to share anonymized data through their AI Twins, enabling researchers to access ethically sourced datasets while maintaining user control over personal data.&#x20;

### Twin-as-a-Service (TaaS)&#x20;

Businesses and individuals use ANGL tokens to deploy multilingual AI Twins for customer support and productivity, leveraging customizable automation tailored to specific operational needs.&#x20;

### Digital Identity & Verification&#x20;

ANGL-powered AI Twins provide blockchain-secured digital IDs, enabling users to verify identities for contracts or logins through customizable, KYC-free biometric verification processes.


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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://whitepaper.myangl.ai/usdangl/twin-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.
