Help Article Recommender Agent

What Help Article Recommender Agent does

A help article recommender agent is an AI agent specialized in help article recommender. 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 help article recommender 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. Scroll up to play and watch the packets travel.

1. 01

   Input

   Receive task

   Accept the help article recommender request and output constraints.

   Data preview

   In

   Run help article recommender for Q3: produce customer-ready support reply with audit trail.

   Out

   Normalized objective: produce customer-ready support reply.

2. 02

   Plan

   Plan the run

   Choose tool order for Look up account and order facts before drafting a reply.