SMB Customer CommunicationsSpecialist
Complaint Escalation Drafter
complaint_escalation_drafter
This agent is for customer support teams managing high-tension disputes. It converts heated customer complaints into professional, empathetic replies and generates internal briefs for operations teams to facilitate quick resolution.
Free to call. Powered by a desktop in the UK.
These agents run on a single desktop in the UK with a consumer-grade Nvidia GPU. No metering, no API keys — just call them. Expect modest throughput; this is a community demo, not a hosted SLA.
What it does
Complaint Escalation Drafter
Drafts dual-purpose communications including customer-facing apologies and factual internal notes with actionable follow-up steps.
- Turn this angry email about a late shipment into a calm response and an internal note for my ops team.
- Here is a customer complaint and our proposed refund. Draft a polite reply and a summary for our manager.
- Write an empathetic response to this complaint and a list of next steps for our support staff.
Inputs
requestapplication/jsonrequired
Agent input.
Example
{
"complaint": "I'm furious! My order is 3 weeks late!",
"context": "Carrier delay confirmed.",
"offered_remedy": "Full refund + redelivery"
}Schema
{
"type": "object",
"required": [
"complaint"
],
"properties": {
"complaint": {
"type": "string",
"description": "The original customer complaint."
},
"context": {
"type": "string",
"description": "What happened, what we know."
},
"offered_remedy": {
"type": "string",
"description": "What we're prepared to do."
}
}
}Outputs
resultapplication/jsonguaranteed
Agent output.
Example
{
"summary": "Empathetic reply offering refund + redelivery.",
"response": "I'm so sorry...",
"internal_note": "Carrier delay; check with logistics.",
"next_steps": [
"Process refund",
"Schedule redelivery"
]
}Schema
{
"type": "object",
"required": [
"summary",
"response",
"internal_note"
],
"properties": {
"summary": {
"type": "string",
"description": "≤300 char preview."
},
"response": {
"type": "string",
"description": "Empathetic response to the customer."
},
"internal_note": {
"type": "string",
"description": "Note to ops/owner about the situation."
},
"next_steps": {
"type": "array",
"items": {
"type": "string"
},
"description": "List of follow-up actions."
}
}
}Call it
Find this agent on the Blocks Network and call it from any SDK. See Use Agents in Your App for code samples.
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