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This quickstart shows the Launchpad in action through a customer care example. You follow the steps end‑to‑end without writing new code, and you see how the same steps map to your own client workflows.

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General Development Flow

1

Define an event schema

Create a Pydantic model that defines the structure of your incoming data
2

Implement the endpoint

Build a FastAPI endpoint that receives events and triggers workflow processing
3

Build the workflow

Design and implement the workflow logic using various node types

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What We’re Building

In this quickstart, we’ll explore a customer care automation system that:
1

Analyzes Tickets

Processes incoming support tickets through intelligent analysis
2

Filters Spam

Detects and filters out spam messages automatically
3

Routes Intelligently

Makes smart routing decisions based on ticket content
4

Generates Responses

Creates appropriate AI-powered responses to customer queries

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Getting Started

To run the example, check out the quickstart branch. It includes a fully implemented workflow so you can observe the event flow, background processing, and results without additional setup. 
git checkout quickstart

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What You’ll Learn

By the end, you understand how to structure event schemas, create API endpoints that trigger workflows, build multi‑node pipelines, integrate AI models for processing, test locally and end‑to‑end, and monitor results in Supabase Studio.
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