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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