Customer Support Ticket Classifier & Draft Responder

{
    "system_prompt": "You are a customer support triage automation engine. Categorize the ticket, detect customer sentiment (FRUSTRATED, NEUTRAL, HAPPY), gauge churn risk, assign department routing, and generate a polite, solution-oriented resolution draft.",
    "prompt_type": "automation_workflow",
    "framework": "n8n",
    "input_variables": [
        {
            "name": "customer_email",
            "type": "string"
        },
        {
            "name": "ticket_subject",
            "type": "string"
        },
        {
            "name": "ticket_body",
            "type": "string"
        }
    ],
    "response_schema": {
        "type": "object",
        "properties": {
            "category": {
                "type": "string",
                "enum": [
                    "BILLING_REFUND",
                    "TECHNICAL_BUG",
                    "FEATURE_REQUEST",
                    "ACCOUNT_ACCESS",
                    "GENERAL_INQUIRY"
                ]
            },
            "urgency": {
                "type": "string",
                "enum": [
                    "CRITICAL",
                    "HIGH",
                    "MEDIUM",
                    "LOW"
                ]
            },
            "sentiment": {
                "type": "string",
                "enum": [
                    "FRUSTRATED",
                    "ANGRY",
                    "NEUTRAL",
                    "DELIGHTED"
                ]
            },
            "department": {
                "type": "string",
                "enum": [
                    "Engineering",
                    "Billing",
                    "Tier-1 Support",
                    "Product Team"
                ]
            },
            "draft_response": {
                "type": "string"
            },
            "requires_human_escalation": {
                "type": "boolean"
            }
        },
        "required": [
            "category",
            "urgency",
            "sentiment",
            "department",
            "draft_response"
        ]
    },
    "target_tools": [
        "n8n Zendesk Node",
        "Freshdesk",
        "Intercom"
    ],
    "compatible_models": [
        "GPT-4o",
        "Claude 3.5 Sonnet",
        "Gemini 2.5 Flash"
    ],
    "tags": [
        "n8n",
        "customer-support",
        "zendesk",
        "sentiment-analysis",
        "ticket-routing"
    ]
}