Prompt Engineering for AI Agents (Full Masterclass for Beginners)

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Most n8n operators write basic prompts and wonder why their AI agents fail in production. The difference between agents that break under load and production-ready systems isn't the LLM you use - it's the three-layer prompting framework that separates amateurs from professionals.

I break down my complete prompt engineering system for n8n: system prompts with proper role definition and constraints, user message architecture that handles dynamic context, and tool usage instructions that prevent execution failures. You'll learn markdown techniques for token optimization, how to structure multi-agent workflows with sub-agents, strategic examples and edge cases that reduce hallucinations, and the exact troubleshooting process when tools don't fire correctly.

If you're building n8n AI agents, automation workflows, or production systems for clients - this three-layer prompting system will transform how you architect, debug, and deploy reliable automations that actually scale in 2025.

⌛ Timestamps:
0:00 Intro
0:45 The 3 Layer System
1:30 Prompting Fundamentals
3:42 Prompting Template
4:35 Advanced Techniques
5:09 Live Demo
15:49 Outro