# Utility of DORA AI

With DORA AI, we are dedicated to building real value for our community while fostering growth that aligns with the interests of our token holders. Our AI Agent powers an ecosystem of innovative travel solutions, creating opportunities for token holders to engage with and benefit from platform features in a sustainable and transparent way. We believe in rewarding our supporters through meaningful participation within the DORA AI ecosystem.

### How Dora AI is working

• AI Tool Integration:

DORA AI will be integrated across platforms as an advanced AI tool, where users will access its features through a credit-based system, generating a steady stream of revenue to support its development.

* Booking Assistant:

DORA AI can be natively integrated in any third party web application and will recommend and facilitate bookings for activities and experiences.

* Discounted bookings:

We are planning on rewarding our long term contributers to the ecosystem, by introducing discounted bookings for token holders. With that, DORA AI aims to give $DORA real world value.

### Future Plans for Community Engagement

We are currently exploring mechanisms that could allow DORA token holders to benefit as the project grows. Potential options may include reward systems, staking opportunities, or other methods.

### Regulatory Considerations

As part of our commitment to compliance and transparency, we are carefully assessing the regulatory landscape to ensure that any value-sharing mechanisms comply with legal and security token regulations. The community will be kept informed of our progress and any updates as soon as we have more clarity.

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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://gitbook.audora.ai/important/quickstart/utility-of-dora-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.