# Ecosystem Overview

We are utilizing the large generalized data sets from <mark style="color:yellow;">industry leaders</mark> to help in training up specific models (Training models). Meaning any new developments in the space will be easily integrated, <mark style="color:green;">**on top of all the inhouse models and tools we build from scratch.**</mark>\
\
Each <mark style="color:orange;">training model</mark> will have to go under extensive refinement to become an expert in the specialty field of choice.

<figure><img src="/files/RfdJWoDhiLBWaJ1gmhVz" alt=""><figcaption></figcaption></figure>

From basic training models, <mark style="color:red;">personal models</mark> can be created. These can either be created by a user interacting with a <mark style="color:orange;">Training model</mark> or from a library of <mark style="color:green;">models we have</mark> for you.

Another option is that a developer  can "personally" train a base <mark style="color:orange;">Training model</mark>, through interactions and/or data sets, and then sell these personal models on the marketplace.

> <mark style="color:purple;">Make sure to read the specific document pages to get a more in-depth understanding of how it all works. Reach out to the team if you need help getting started</mark>

Everything within User Interface and Personal models, makes up the generalized basis of the <mark style="color:blue;">AI Suite</mark> covered in the next section.


---

# 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://skillful-ai.gitbook.io/skillful-ai-public-docs/products/ecosystem-overview.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.