Raw feedback
User message
Hey, I was charged twice for my Pro plan this month — invoice #12345 shows $38 but my bank shows two charges. Please refund one charge, this is urgent.
Shows how an emailed billing complaint is converted into a structured GitHub issue. Includes AI classification fields and labels used.
What this shows
This example matters because billing emails are urgent and messy; automating triage ensures engineers get consistent, actionable issues quickly.
Raw feedback
Hey, I was charged twice for my Pro plan this month — invoice #12345 shows $38 but my bank shows two charges. Please refund one charge, this is urgent.
Triage output
{
"type": "billing",
"severity": "high",
"title": "Duplicate charge on Pro subscription",
"summary": "Customer reports being charged twice for the Pro subscription (invoice #12345) and requests a refund for the duplicate charge.",
"tags": [
"billing",
"payments",
"subscription",
"invoice"
],
"sentiment": "frustrated",
"confidence": 0.95
}Resulting issue
Duplicate charge for Pro subscription (Invoice #12345)
Customer reports two charges for the Pro plan this month (Invoice #12345). Bank shows two $38 charges. Requested action: verify billing records, issue refund for duplicate charge, and confirm to customer. Raw message attached. Customer notes this is urgent.
Live example
Send the same raw message to TriageFast and get the structured result back through the normal ingest endpoint.
curl -s -X POST https://triagefast.app/api/v1/ingest -H "Authorization: Bearer tf_live_xxxx" -H "Content-Type: application/json" -d '{"source":"email","message":"Hey, I was charged twice for my Pro plan this month — invoice #12345 shows $38 but my bank shows two charges. Please refund one charge, this is urgent."}'How it works
Step 1
POST the emailed complaint to the ingest endpoint.
Step 2
AI extracts type, severity, title, summary, tags, sentiment, and confidence.
Step 3
A GitHub issue is created with the triage fields and labels.
Related examples
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