> For the complete documentation index, see [llms.txt](https://litepaper.dormint.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://litepaper.dormint.io/overview/user-types-and-use-cases.md).

# User types & Use cases

Dormint distinguishes between **two main user roles**:

## **Consumers/Creators**

* **Create or Configure AI Agents**: Start from scratch, pick from templates, or collaborate with contributors
* **Buy Agents from the Marketplace**: Instantly deploy an existing agent, saving time on development
* **Order Custom Agents**: Post a request for specialized solutions that require advanced logic, specialized AI models, or custom integrations

## **Contributors**

* **Node Creation**: Build and publish specialized nodes (e.g., advanced AI analysis, custom integrations)
* **Template Authoring**: Provide ready-to-use agent templates for a variety of niches
* **Freelance Work**: Take on custom agent orders from other users, earning DOAI in exchange for your expertise

## Use cases

* **Wellness & Healthcare**: AI Sleep Agents, Fitness Trackers, or Mental Health Support.
* **Education & Coaching**: Personalized learning pathways, skill progression dashboards.
* **Productivity & Task Management**: Agents that use gamification to encourage better work habits.
* **Community Challenges**: Create group events (like step competitions) with tokenized rewards for top performers.


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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://litepaper.dormint.io/overview/user-types-and-use-cases.md?ask=<question>
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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.