> For the complete documentation index, see [llms.txt](https://docs.coreterminal.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.coreterminal.ai/product/use-cases/for-researchers.md).

# For Researchers

Researchers can utilize The Core Terminal to disseminate their AI models, gain access to computational resources, and collaborate on cutting-edge projects. Key use cases include:

* **Model Monetization:** Researchers can publish their AI models on the platform, allowing others to purchase or lease them. This not only provides a revenue stream but also enhances the visibility and impact of their work.
* **Data-Intensive Research:** Access to a decentralized pool of computing resources enables researchers to conduct large-scale data analysis and model training, which would be challenging with limited local resources.
* **Academic Collaboration:** The platform supports collaborative research by enabling the sharing of models and data among academic institutions and researchers, promoting interdisciplinary studies and innovation.


---

# 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://docs.coreterminal.ai/product/use-cases/for-researchers.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.
