Prompt Engineering Tutorial 0/120 lessons ~6 min read Lesson 93

    AI Chatbots

    AI chatbots cover support, sales, internal help, and consumer companion bots.

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

    Introduction

    AI chatbots cover support, sales, internal help, and consumer companion bots. The prompt is half the product.

    Beginner analogy: Like designing a virtual employee — role, knowledge, tone, escalation.

    Understanding the topic

    Core concepts to understand:

    • Persona + role + knowledge cutoff.
    • RAG for product-specific knowledge.
    • Tools for actions (refund, lookup).
    • Escalation triggers to humans.
    • Logs for QA & training.

    Syntax reference

    Visual workflow / architecture:

    bash
    User message → intent classify → RAG → respond | tool | escalate

    Real-world use

    Intercom Fin, Ada, Drift AI, Zendesk AI — all this pattern with brand-specific persona.

    Best practices

    • Persona doc as system prompt.
    • RAG for facts; never invent product details.
    • Escalation built in.

    Hands-on exercise

    Interview preparation — practice these questions:

    • Q1. Chatbot architecture?
    • Q2. RAG vs hard-coded answers?
    • Q3. Escalation triggers?
    • Q4. QA strategy?
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