# Verifiable AI

VAI makes the agent-centric future more accountable and secure. In particular, **AgentNet** enables credibly neutral coordination and provenance.

Similar to HTTPS, VAI provides authentication and data integrity for User-to-Agent and Agent-to-Agent interactions.

### VAI  Architecture

<figure><img src="/files/NksjhNXWR3EwtfRhsStB" alt=""><figcaption></figcaption></figure>

**VAI (**&#x41;gentNe&#x74;**)** uses Trusted Execution Environments (**TEE**s) and public key cryptography to enable lightweight verification of an agent's responses.&#x20;

### Demo

We demonstrate a chatbot that uses **AgentNet** to provide verified LLM queries:

{% embed url="<https://drive.google.com/file/d/14ykmJXdPlJFfW8Xs3P626f-ctfSkc-J8/view?usp=sharing>" %}

Try it yourself! [Request access through our form](https://forms.gle/2dAWxF5b2iZpXkEfA)


---

# 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://vai-docs.nebra.one/verifiable-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.