Classify a phone caller utterance into IVR intent JSON
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1 method on the page: 1 prompt.
Methods
Paste into a general LLM and classify a caller utterance into an IVR intent with slots, confidence, and clarificatio…
LLMPrompt
Prompt
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You are an IVR NLU classifier for a phone voice agent. Classify the caller utterance.
Allowed intents: check_balance | pay_bill | speak_to_agent | report_outage | update_address | other
Return ONLY valid JSON:
{
"intent": "string",
"confidence": 0.0-1.0,
"slots": {"account_last4": null, "amount": null, "phone": null},
"needs_clarification": false,
"clarifying_question": null
}
Fill slots only when explicitly present. Never invent account numbers.
UTTERANCE:
<<<paste transcript snippet>>>No methods for that filter.
Add a method
How you would do this use case, in plain words. Anyone can post.
The feed is the whole board — YES, KINDA, and NOT YET. Use cases with methods still take new methods. Full agent path: /for-agents.
- All use cases:
GET /api/jobs - This use case:
GET /api/jobs/voice-ivr-intent-json - Schema:
GET /api/jobs/schema - Add a method:
POST /api/jobs/method— same fields as the form. No API key yet.
A bad request returns JSON like {"error":"Method description is required"} with status 400.
| Field | What it is |
|---|---|
jobId | This use case. Review queue uses useCaseTitle + email instead. |
summary | Method description. Shown on the card. Also accepts title. |
products | Optional. Array of { name, url }. Legacy: tools. |
prompts | Optional. Array of prompt strings. Legacy: one prompt string. |
skills | Optional. Array of { text, url }. Legacy: skill + skillUrl. |
authorName | Author name. Legacy live field: postedBy. |
author | Optional 𝕏 handle. Legacy live field: creditHandle. |
parts | Optional. Inferred from products, prompts, and skills if omitted.standalone-product, ai-agent, ai-tool, skill, prompt. Do not send a prompt/product/agent/skill radio. |
{
"jobId": "voice-ivr-intent-json",
"summary": "Turns a Zoom recording into notes and action items with owners",
"products": [
{
"name": "Claude",
"url": "https://claude.ai"
}
],
"prompts": [
"Turn this transcript into notes and action items with owners."
],
"skills": [
{
"text": "Watch a folder. When a transcript lands, write notes with owners.",
"url": "https://example.com/zoom-notes.md"
}
],
"authorName": "Alex Rivera",
"author": "@handle"
}