# How It Works 

- [Stacker Algorithm](https://stackerai.gitbook.io/stacker-ai/how-it-works/stacker-algorithm.md)
- [AI Agents](https://stackerai.gitbook.io/stacker-ai/how-it-works/stacker-algorithm/ai-agents.md): Our carefully designed agents are individually focused on one area of expertise to eliminate bias in the decision making process. These areas include:
- [Automated Trading](https://stackerai.gitbook.io/stacker-ai/how-it-works/stacker-algorithm/automated-trading.md): The information processed by the agents is compounded and fed into a secondary decision making pipeline which manages risk and executes trading activities. It consists of the following segments.
- [Overview](https://stackerai.gitbook.io/stacker-ai/how-it-works/stacker-algorithm/overview.md): The process of operation of our trading algorithm is as follows
- [$STACK Tokenomics](https://stackerai.gitbook.io/stacker-ai/how-it-works/usdstack-tokenomics.md)
- [Stacker Treasury](https://stackerai.gitbook.io/stacker-ai/how-it-works/usdstack-tokenomics/stacker-treasury.md): The Stacker Treasury is a community fund that is invested by our in-house trading algorithm. This process is designed to reward our holders, while showcasing our technology to public.
- [Revenue Generation ](https://stackerai.gitbook.io/stacker-ai/how-it-works/revenue-generation.md): The Stacker AI ecosystem has a multi faceted revenue program
- [Holder Rewards](https://stackerai.gitbook.io/stacker-ai/how-it-works/holder-rewards.md): All rewards are distributed to holders via a claim function that utilizes blockchain snapshots to verify ownership. Users are rewarded based on the success and adoption of our technology.
- [Treasury Management](https://stackerai.gitbook.io/stacker-ai/how-it-works/treasury-management.md): Our treasury management program offers several benefits to our partnered projects and is designed to provide easy access to our software to accommodate the needs of the industry.


---

# 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://stackerai.gitbook.io/stacker-ai/how-it-works.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.