> 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/pibble-2.0-development-status.md).

# PIBBLE 2.0 development status                               &#x20;

<figure><img src="/files/gmo1NnwvlVSmVo3jHxd8" alt=""><figcaption></figcaption></figure>

### <mark style="color:green;">Context enrichment</mark>&#x20;

* Generate sentences with the help of AI in the body text when uploading photos and videos.
* Based on the hashtags you enter, we generate appropriate sentences for social media.
* You can then edit the sentences and use them when uploading.

### <mark style="color:green;">Story enrichment</mark>

* Chat is basic. You can enrich it with your own ideas and imagination.
* When you talk to the AI, you can give it a synopsis and it will create a more specific story.
* You can create and post serialized novels, poems, and even recipes with AI's creative ideas.

### <mark style="color:green;">AI image fulfillment</mark>  &#x20;

* You can express the feeling of the picture you imagine in the text, and AI will draw a picture similar to the content of the text.
* You can post the finished picture immediately, and it can be utilized as an illustration by interweaving it with the story.

### <mark style="color:green;">AI evaluation</mark>&#x20;

* The AI analyzes the text information entered by the user and makes a sentiment evaluation.
* The company provides certain criteria and quantifies the evaluation results based on the judgment made by the AI.


---

# 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://pibble.gitbook.io/pibble-whitepaper/pibble-2.0/pibble-2.0-development-status.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
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