support-hq.system / sentiment-monitor
Live Triage

Enter a customer message to test the sentiment analysis and workflow. If the AI detects high frustration, it will simulate a priority team alert.

Analyzing Tone...
Simulate:

Escalation Logic Flow

01

Sentiment Parsing

Each incoming message is processed by a LLM classifier. It detects not just polarity (positive/negative) but specific intent and urgency levels.

02

Conditional Trigger

If (Sentiment == NEGATIVE && Urgency == HIGH), the system breaks the standard AI loop and generates a priority payload.

03

Multi-Channel Notify

In a live setting, the n8n/Zapier node would push this data to Slack, Jira, or Zendesk with a "Priority 1" tag for human intervention.

Escalation Payload Example 

{
  "trigger": "sentiment_threshold_exceeded",
  "customer_tier": "Enterprise",
  "detected_mood": "Frustrated",
  "keywords": ["failed", "immediately", "leaving"],
  "actions": [
    "slack_notify(#priority-support)",
    "create_jira_ticket(SLA: 1hr)",
    "sms_alert_manager()"
  ]
}