> ## Documentation Index
> Fetch the complete documentation index at: https://docs.worlds.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Worlds Workflow Builder

> Build automated detection workflows using Worlds custom nodes for the Workflow Builder

Build workflows that turn real-time computer vision detections into automated actions — events, alerts, emails, and more.

## How it works

Every workflow follows the same three-step pattern:

<Steps>
  <Step title="Inject detection data">
    A **Trigger Node** receives real-time track and zone data from the Worlds detection pipeline via the state machine.
  </Step>

  <Step title="Apply business logic">
    **Check Nodes** evaluate conditions — is the object in a specific zone? Has it been there long enough? Is it moving too slowly? Chain checks together to build precise rules.
  </Step>

  <Step title="Take action">
    **Event and Action Nodes** create events in the Worlds UI, capture images, generate GIFs, send email alerts, and more.
  </Step>
</Steps>

## Get started

<Columns cols={2}>
  <Card title="Architecture Overview" icon="sitemap" href="/getting-started/overview">
    Understand how detections flow from cameras through the state machine into your workflows.
  </Card>

  <Card title="Prerequisites" icon="list-check" href="/getting-started/prerequisites">
    What you need before building your first workflow.
  </Card>

  <Card title="Node Reference" icon="cube" href="/nodes/detection-webhook-trigger">
    Detailed reference for every Worlds custom node.
  </Card>

  <Card title="Streaming Track State Guide" icon="route" href="/guides/streaming-track-state">
    Build a real-time workflow that reacts to track updates.
  </Card>
</Columns>