> For the complete documentation index, see [llms.txt](https://glossary.ecsa.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://glossary.ecsa.io/econautics.md).

# Econautics

Navigation in the new economic space. In a token economy context of transparency and decentralized open source data we need a reliable runtime and a grammar that can help us navigate and operate this space and build knowledge about what is happening in these networks. Without these tools we are today without politics and economics, incapable of expressing and intervening in processes and the future of our life. Econautics is a new content discovery paradigm. A new economic space-time navigational instrument set. Just like renaissance scientists, like Galileo Galilei and Leonardo da Vinci, invented the experiments and instruments to navigate, understand and measure the newly opened space-time realities — the microscopes and telescopes to reveal micro- and macrocosms, inclinometers to determine latitudes, thermoscopes to show change of temperature, barometers to reveal atmospheric pressure, nautical instruments, experimental methods to understand invisible phenomena, velocity, acceleration, gravity — we will need to do the same for the new economic space-time to understand what is going on in our economic networks. There will be a new renaissance.


---

# 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:

```
GET https://glossary.ecsa.io/econautics.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.
