Prompt Engineering Tutorial 0/120 lessons ~6 min read Lesson 98

    Customer Support Systems

    End-to-end support systems blend triage + RAG + reply drafting + escalation + analytics.

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    Focus
    6 guided sections
    Practice signal
    Examples included
    Career prep
    Foundation builder

    Introduction

    End-to-end support systems blend triage + RAG + reply drafting + escalation + analytics.

    Beginner analogy: Like a great support team — first-line bot, escalations, knowledge base.

    Understanding the topic

    Core concepts to understand:

    • Triage classifies intent + urgency.
    • RAG into product docs + past tickets.
    • Draft reply for agent OR send if confidence high.
    • Escalate sensitive / regulated cases.
    • Track CSAT against deflection rate.

    Syntax reference

    Visual workflow / architecture:

    bash
    Ticket → triage → RAG → draft → confidence
    ▼ high → auto-send
    ▼ low → agent suggested reply
    ▼ regulated → human only

    Real-world use

    Klarna, Intercom Fin, Zendesk AI deflect millions of tickets with this architecture.

    Best practices

    • Always measure CSAT, not just deflection.
    • Show source docs to the agent.
    • Escalation thresholds are tunable knobs.

    Hands-on exercise

    Interview preparation — practice these questions:

    • Q1. Support system architecture?
    • Q2. CSAT vs deflection?
    • Q3. Source display — why?
    • Q4. Escalation thresholds?
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