> For the complete documentation index, see [llms.txt](https://spiritdao.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://spiritdao.gitbook.io/docs/learn-more/membership/sensemaker-prime.md).

# Sensemaker Prime

At SpiritDAO, we are experimenting with communal artificial intelligence.\
\
**Sensemaker AI** is a public-facing large-language model trained on Self-Actualization in the Age of Crisis. You can interact with it in chatbot form at singletruth.org. It’s a great way to explore our philosophy and practice related to your unique journey.

**Sensemaker Prime** is a members-only large-language model trained on Self-Actualization in the Age of Crisis. This model evolves by integrating new knowledge. It will serve as a community pulse and may eventually guide our efforts.

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


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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, and the optional `goal` query parameter:

```
GET https://spiritdao.gitbook.io/docs/learn-more/membership/sensemaker-prime.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.
