This tutorial guides you through the inner workings of the Onboarding Agent - the same agent that was automatically created when you first signed up on the Machina Sports platform. While you already have access to this agent in your project, this guide provides a behind-the-scenes look at how it’s built and how you can customize it to better suit your needs.The Onboarding Agent serves as both a practical tool for your development work and an educational example of what’s possible with Machina’s agent architecture.
This section reveals how your existing Onboarding Agent was built and configured. Understanding these components will help you customize the agent or create new agents tailored to your specific needs.
The onboarding template that created your agent was installed using the _install.yml configuration:
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setup: title: "Machina Studio Onboarding" description: AI-powered onboarding for Machina Studio. category: - special-templates estimatedTime: 5 minutes features: - AI Agent to onboard new developers. - AI Reporter to generate onboarding materials. integrations: - sportradar
Now that you understand how your Onboarding Agent was built, you can:
Customize Your Existing Agent: Modify the workflows, connectors, and prompts of your Onboarding Agent to better suit your specific needs
Create New Specialized Agents: Use the principles demonstrated in this tutorial to build additional agents for different purposes
Explore Advanced Features: Dive deeper into Workflows to understand how to enhance your agent’s capabilities
Add Data Sources: Learn about Connectors to integrate additional sports data providers
Transform Data: Review Mappings to process and transform data for your specific use cases
Enhance Content Generation: See Prompts to improve the quality and relevance of AI-generated content
Your Onboarding Agent is just the beginning of what’s possible with Machina Sports. Use this knowledge to build more sophisticated agents that can automate your sports data workflows and content generation needs.