> For the complete documentation index, see [llms.txt](https://nailong-docs.gitbook.io/nailongdocs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://nailong-docs.gitbook.io/nailongdocs/abstract.md).

# Abstract

NAILONG is an innovative crypto project based on the Binance Smart Chain (BSC) that aims to become the cutest dino meme token of the year.

With a focus on community engagement and development, NAILONG offers features such as reflections, lotteries, and community governance.

Holders of NAILONG tokens benefit from passive income through reflections, exciting lottery opportunities, and the ability to actively participate in decision-making processes.

The project's vision is to create a vibrant and inclusive ecosystem where holders can enjoy rewards, entertainment, and active involvement.

NAILONG strives to continuously evolve, adapt, and provide a memorable and rewarding experience for its community members.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://nailong-docs.gitbook.io/nailongdocs/abstract.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
