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

# Networks

Networks are the evolution dependance between technologies according to their level of maturity and applicability. Some types of systems and software, for instance, are applications of business models, which can further expand into novel technology types. Users can link parenting relationships between technologies, but this task is mainly performed by the Lead Editor in order to keep an editorial line of our database. You can check the example below:

![](https://lh3.googleusercontent.com/x_vp72taf_i5Ks8c6GT5gl8MR0J5qlD07JBzdMxy8FQgErf6Gyyj2d_4CyzOxslTtLIaGwApnBp_pqf7cYIwXWa4pOHlS7MZCscExFZ927Bm1S976LVoF0JvRn1_964UvrdFMzFA)

{% hint style="info" %}
This will be an optional step. Users will be able to search Envisioning’s database for existing technologies or to create new ones at the spot.
{% endhint %}


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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:

```
GET https://docs.envisioning.io/networks.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.