customer support · tool agent
Feature Request Tagger Agent
Turn feature request tagger requests into verified customer-ready support reply using observable tool steps.
- customer-support
- ticketing
- crm
- feature-request
How to watch
Play starts at Input. Each station works, then a labeled packet travels the wire.
On station · 5.2s · 0/0
Packets stay on the wire. This is a conceptual simulation, not a live model run.
What Feature Request Tagger Agent does
A feature request tagger agent is an AI agent specialized in feature request tagger. It does not answer from memory alone. It look up account and order facts before drafting a reply, stores observations, verifies completeness, and delivers customer-ready support reply with explicit gaps when tools fail.
The agent receives a feature request tagger task, plans tool calls (ticketing, crm, knowledge-base, order-lookup), executes look up account and order facts before drafting a reply, keeps working notes, verifies the draft, and publishes customer-ready support reply. If order lookup returned no matching shipment, it ask clarifying identifiers and escalate with context. This page simulates that observable loop — not private chain-of-thought.
Workflow
Each step maps to a node in the lab above. and watch the packets travel.
- 01Input
Receive task
Accept the feature request tagger request and output constraints.
Data preview
In
Run feature request tagger for Q3: produce customer-ready support reply with audit trail.
Out
Normalized objective: produce customer-ready support reply.
- 02Plan
Plan the run
Choose tool order for Look up account and order facts before drafting a reply.