> Source: https://builder-docs.ema.ai/getting-started
> Title: Getting Started

# Getting Started

This section walks you through everything you need to go from first login to a working AI Employee.

## In This Section

-   [First Login](/legacy-docs/getting-started/first-login) -- Sign up, authenticate, and complete onboarding.
-   [Create Your First AI Employee](/legacy-docs/getting-started/first-ai-employee) -- End-to-end quickstart: pick a template or use Autopilot, configure a workflow, test it, and run your first conversation.
-   [AI Employee Types](/legacy-docs/getting-started/ai-employee-types) -- Understand the different AI Employee interfaces and when to use each one.
-   [Effective Discovery](/legacy-docs/getting-started/effective-discovery) -- A framework for scoping high-impact use cases before you build.

## Prerequisites

Before you begin, confirm the following:

-   You have received an invitation email from your Ema workspace administrator.
-   You have a supported browser (Chrome, Edge, Firefox, or Safari -- latest two major versions).

## Recommended Path

1.  **Sign in** -- Follow the [First Login](/legacy-docs/getting-started/first-login) guide to access the Ema platform.
2.  **Explore templates** -- Browse the AI Employee templates on your dashboard to see what is available out of the box.
3.  **Build something** -- Walk through [Create Your First AI Employee](/legacy-docs/getting-started/first-ai-employee) to deploy a simple RAG-based chat assistant in under 30 minutes.
4.  **Understand your options** -- Read [AI Employee Types](/legacy-docs/getting-started/ai-employee-types) to pick the right interface for your next use case.
5.  **Plan for production** -- Use the [Effective Discovery](/legacy-docs/getting-started/effective-discovery) framework to scope and validate use cases before committing to a full build.
