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Getting Started

This guide walks you through creating your MINEO account, completing the initial setup, and accessing your first project.

Create Your Account​

MINEO supports multiple authentication methods for account creation:

Authentication options:

  • OAuth providers: GitHub, Microsoft, or Google
  • Email/Password: Standard email registration

Select your preferred method and sign in to create your account.

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New accounts automatically include a free organization with no credit card required. You can upgrade at any time from the organization settings.

Complete Onboarding​

After signing in for the first time, you'll see the onboarding wizard that guides you through:

  1. Profile: Set your display name and preferences
  2. Organization: Configure organization name, logo, and optionally invite team members
  3. Finish: Complete setup and access your workspace

Click through each step and select Finish to complete the setup. Your first project will include sample notebooks and a demo data source for testing.

Access Your First Project​

After completing onboarding, you'll be redirected to your first project.

What you'll see:

  • Project Home: The landing view with the AI thread starter, quick links, and recent activity — see Project Home
  • Project Tutorial (first-time only): Interactive guide explaining the interface (can be skipped)
  • Left sidebar: The project's sections and the project, organization, and user selectors — see Navigation
  • Search: Press Ctrl+K to find anything in the project — see Search

On your next visits, MINEO takes you straight to the last project you visited.

Next Steps​

Now that your account and first project are ready, explore MINEO's core features:

Start a Thread​

The fastest way to get value: ask questions over your data in natural language, with any model. See Threads.

Go to Threads Guide →

Build an Assistant​

Configure a governed AI agent per team or process — pick a model, connect data and tools, and share it, all no-code.

Go to Assistants Guide →

Create Your First Notebook​

Start with an interactive Python notebook for data analysis and development. Browse the Notebook Showcase for examples.

Go to Notebooks Guide →

Connect a Data Source​

Link databases, APIs, or file systems to access data in your notebooks and applications.

Go to Data Sources Guide →

Publish a Live App​

Deploy your notebooks as interactive web applications using Streamlit or Gradio without frontend development.

Go to Live Apps Guide →

Automate Workflows​

Create pipelines to schedule notebook executions, chain tasks, and integrate with external systems via API.

Go to Pipelines Guide →

Additional Resources​