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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