Prompt Engineering Masterclass for AI Voice Agents | Retell AI

In this video, I break down everything you need to know about prompt engineering for AI voice agents. I share the exact frameworks, tips, and templates I use to build high-performing voice agents that avoid hallucinations and robotic responses. You'll learn the difference between single and multi-prompt setups, how to structure effective prompts, and the critical components that shape agent behavior—like tone, identity, and task breakdowns. Whether you're just getting started or improving existing bots, this session will save you hours of trial and error.

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0:00 Prompts Are Everything
1:02 Why Prompt Structure Matters
1:57 My Experience With Voice Agents
2:33 Why You Should Trust This Video
3:45 Types of AI Voice Agents
5:46 Visual Comparison of Agent Types
7:24 Crafting Clear and Reliable Prompts
8:01 Components of a Single Prompt Agent
9:22 Writing the Identity Prompt
11:01 Template for Identity Prompt
12:26 Style Guardrails and Why They Matter
13:32 Style Guardrails Example
14:52 Importance of Task Breakdown
15:38 How to Write the Task Breakdown
16:56 Nesting Scenarios in Prompts
18:03 Example of a Full Task Breakdown
19:34 Nested Decision Logic in Prompts
20:47 When to Skip Task Breakdown
22:09 What Are Function Calls?
23:29 Adding and Describing Functions in Prompts
24:18 Naming and Referencing Functions Correctly
25:09 Multi-Prompt Agent Structure
26:28 What NOT to Include in a Universal Prompt
27:15 Rules for Universal Prompt Design
28:41 Example of a Universal Prompt
29:43 More Guardrails for Multi-Prompt Agents
29:51 Writing Individual Prompts for Tasks
31:18 Transitioning Between Prompts
32:59 Where to Use Each Function
33:45 Order Tracking Prompt Breakdown Example
34:06 Notes Section in Prompts
34:43 Using Variables Like Time and Phone Number
35:45 Dynamic Fields for Realistic Conversations
36:57 Speech Pauses and Speed Customization
38:04 How to Read Time, Website, and Email
39:31 Pronunciation Prompts for Voice Agents
40:43 Master the Basics of Retell AI
41:22 Final Thoughts and Practice Advice
42:33 Conclusion