Schema Library

Language Practice output schema

Language Practice output schema: JSON fields, CSV headers, validation rules, and integration notes for structured AI phone call outcomes.

Browse schemas

JSON schema

{
  "outcome": "Language practice outcome",
  "fields": [
    {
      "description": "caller name captured during the call.",
      "name": "caller_name",
      "required": true,
      "type": "text"
    },
    {
      "description": "phone number from caller id captured during the call.",
      "name": "phone_number_from_caller_id",
      "required": true,
      "type": "text"
    },
    {
      "description": "language captured during the call.",
      "name": "language",
      "required": true,
      "type": "text"
    },
    {
      "description": "level captured during the call.",
      "name": "level",
      "required": true,
      "type": "text"
    },
    {
      "description": "topics practiced captured during the call.",
      "name": "topics_practiced",
      "required": true,
      "type": "text"
    },
    {
      "description": "corrections captured during the call.",
      "name": "corrections",
      "required": false,
      "type": "text"
    },
    {
      "description": "confidence captured during the call.",
      "name": "confidence",
      "required": false,
      "type": "text"
    },
    {
      "description": "next vocabulary captured during the call.",
      "name": "next_vocabulary",
      "required": false,
      "type": "text"
    }
  ]
}

CSV headers

caller_name,phone_number_from_caller_id,language,level,topics_practiced,corrections,confidence,next_vocabulary

Validation rules

Required fields should be asked directly
Dates and times should include timezone when relevant
Urgency and handoff fields should use a controlled vocabulary
Unknown values should be saved as unknown, not invented

Structured output schema

{
  "outcome": "Language Practice output schema outcome",
  "fields": [
    {
      "description": "caller name captured during the call.",
      "name": "caller_name",
      "required": true,
      "type": "text"
    },
    {
      "description": "phone number from caller id captured during the call.",
      "name": "phone_number_from_caller_id",
      "required": true,
      "type": "text"
    },
    {
      "description": "language captured during the call.",
      "name": "language",
      "required": true,
      "type": "text"
    },
    {
      "description": "level captured during the call.",
      "name": "level",
      "required": true,
      "type": "text"
    },
    {
      "description": "topics practiced captured during the call.",
      "name": "topics_practiced",
      "required": true,
      "type": "text"
    },
    {
      "description": "corrections captured during the call.",
      "name": "corrections",
      "required": false,
      "type": "text"
    },
    {
      "description": "confidence captured during the call.",
      "name": "confidence",
      "required": false,
      "type": "text"
    },
    {
      "description": "next vocabulary captured during the call.",
      "name": "next_vocabulary",
      "required": false,
      "type": "text"
    }
  ]
}

Quality gate

Unique workflow artifact on the page
Visible script, checklist, or question set
Human handoff rules for sensitive calls
Product CTA that creates a real Call App
Internal links to related templates and compliance pages

How to use this resource

Build the first version

Use the page as a launch brief, not a finished policy document. Copy the prompt into the builder, keep the workflow limited to one caller intent, and test whether the first two questions collect enough context for a useful owner follow-up.

Review the output

Before publishing, check that the saved outcome has useful fields for the team: caller name, phone number from caller id, language. Remove fields that are not needed, and route regulated, urgent, or ambiguous calls to a person instead of forcing automation.

Measure quality

Track whether callers finish the flow, whether owners understand the summary, and whether handoff rules trigger at the right time. A useful Call App should reduce missed context, not just answer the phone with a longer script.

Improve the page

When this workflow starts getting impressions or demo calls, add real examples from the use case: a better transcript, a refined schema, integration notes, and clearer exclusions for cases the AI phone workflow should not handle.

FAQ

Who should use Language Practice output schema?

Language Practice output schema is for teams that want a callable workflow instead of a static page or loose voicemail. It is most useful when callers need to explain context out loud and the team needs a repeatable result with caller name, phone number from caller id, language.

What should I customize before launching it?

Start with the json schema, then edit the opening disclosure, required questions, handoff rules, and owner notification. Keep the first version narrow: one caller goal, one output schema, and one clear next action after the call.

How does this connect back to CallURL?

The page is written as a practical starting point for a real Call App. Use the visible prompt, schema, examples, and related workflow links to create a working phone flow, then test it with routine, incomplete, and sensitive caller scenarios.

What makes this page different from a generic AI phone agent page?

This resource is centered on a specific workflow artifact, not broad product copy. It includes concrete fields, handoff rules, related templates, and a demo entry point so a visitor can judge whether language practice output schema fits their use case.

Language Practice template Language Practice prompt CRM schema converter Notion Google Sheets

Create this Call App

Use the prompt, schema, handoff rules, and examples on this page as the starting point for a working CallURL Call App.