> For the complete documentation index, see [llms.txt](https://ml-models-pro.gitbook.io/ml-models-pro/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ml-models-pro.gitbook.io/ml-models-pro/user-guide/quickstart.md).

# Quickstart

Whether you’re a beginner or an experienced user, this guide will walk you through the essential steps to make the most of mlmodels.pro.

{% stepper %}
{% step %}

### **Sign Up and Log In**

To start using mlmodels.pro, follow these steps:

1. **Visit the Website:** Go to [mlmodels.pro](https://mlmodels.pro).
2. **Sign Up:** Click on the "[Get Started](https://mlmodels.pro/signup)" button to create your account. You can sign up using your email address or connect with a supported social media account.
3. **Log In:** Once your account is created, log in using your credentials.

After logging in, you can see in the Up-right corner a drop down Menu with your Name from where you can navigate to: **Go to App**, **Library**, **Billing**, **Account**, **Connect wallet** *(only Phantom for now)* and **Logout**. 

**Choose "Go to App" and start your Journey!**
{% endstep %}

{% step %}

### **Manage Your Subscription**

Learn more [how to manage your subscriptions and plans](/ml-models-pro/user-guide/subscriptions-and-plans.md#key-terms) effectively
{% endstep %}

{% step %}

### **Customize your first Workspace**

Your **Workspace** is where you manage your projects and AI tools. You can customize it to fit your workflow [Learn more](/ml-models-pro/user-guide/workspace.md#workspace-owner-capabilities)
{% endstep %}

{% step %}

### **Generate**

Choose agents by category\
Enter a few sentences to describe your topic\
Generate
{% endstep %}
{% endstepper %}

{% hint style="info" %}
New models and integrations coming very soon!
{% endhint %}


---

# 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://ml-models-pro.gitbook.io/ml-models-pro/user-guide/quickstart.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.