# Development Activity Index

Scattering uses an AI LLM model to analyze X posts from tracked AI projects, identifying key posts such as product updates, business key metrics, ECO partnerships, community campaigns, and other significant announcements.\
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If the volume of related announcements is relatively high within a certain time period, it indicates that the project is actively updating and progressing. \
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Conversely, if a project has no important announcements detected by the AI for an extended period—such as 30 days—it suggests a high risk of the project being abandoned or a potential rug pull.

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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://docs.scattering.io/development-activity-index.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.