The schema defines the exact structure and format of data that the Intent Service expects and returns. It's like a blueprint that shows all possible fields, their types, and relationships.

• Use "Expand" button for a larger viewing area
• Toggle between modes with "Show as Plain JSON"
• In viewer mode, look for nested objects and arrays marked with [Object] and [Array]

Examples show you exactly what response format to expect when a user makes a specific voice command or query. Each example includes the exact JSON structure your application will receive.

1. Select a Category:
   tv101

   TV control commands like "turn on TV", "change channel", "volume up", navigation controls

   content

   Content discovery like "play Netflix", "find movies", "search for shows"

2. Enter Your Query:

   Type natural language commands. As you type, you'll see auto-suggestions of available examples. Try queries like:

   "turn on tv" "play netflix" "volume up" "find movies"
3. Click "Get Example":

   View the complete JSON response structure that your application should expect to receive for that specific query.

• Use auto-suggestions: Click on dropdown options to see all available example queries
• Case doesn't matter: "Turn On TV" and "turn on tv" will both work
• Exact matches: The tool looks for exact query matches, so use the suggested examples for best results
• No match? Try browsing the dropdown suggestions to see what queries are available

Use examples to understand exact request/response formats when building applications that integrate with Intent Services. Perfect for planning your API endpoints and data handling.

Create comprehensive test cases using example responses to validate your application handles all types of intents correctly. Ensure robust error handling and response parsing.

Reference the schema when writing technical documentation, API guides, or training materials for your development team. Share real examples with stakeholders.

Explore available categories and example queries to plan your voice interface, chatbot responses, or smart device interactions. Understand user intent patterns.