> For the complete documentation index, see [llms.txt](https://pibble.gitbook.io/pibble-whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://pibble.gitbook.io/pibble-whitepaper/pibble-2.0/target.md).

# Target Users

The target users of PIBBLE 2.0 are as follows.

* **General public including professional content creators**\
  All content creators who want to create and monetize all types of content, including text, images, audio, video, etc.
* **Copyright holders**\
  All copyright holders who want to protect and monetize their works.
* **Users interested in blockchain technology**\
  Users who are interested in a secure and transparent copyright protection system using blockchain.
* **Users interested in AI technology**\
  Users who are interested in the creation and evaluation of creative content using AI technology and the future development and utilization of AI technology. PIBBLE 2.0 is aimed at users who are interested in creating and evaluating creative content using AI technology, and in the future development and utilization of AI technology. You can utilize AI technology to create creative content and predict the value of content evaluated by AI algorithms.
* **Users interested in the digital content market**\
  Users who are interested in new trends and innovations in the digital content market.


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# 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:

```
GET https://pibble.gitbook.io/pibble-whitepaper/pibble-2.0/target.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.
