Overview
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Learn to build powerful and reliable AI agents in n8n through a comprehensive prompt engineering framework that eliminates unreliable outputs and creates production-ready automations. Master the fundamental distinction between user messages and system messages in n8n AI agents, then implement a proven 5-part system prompt template consisting of Overview, Tools, Rules, Output, and Examples sections that guarantees accurate results. Discover how to leverage Markdown formatting with headers and emphasis to structure prompts for optimal AI comprehension, and explore practical applications through three detailed walkthroughs: a simple agent implementation, a tool-using Telegram bot, and an advanced multi-agent CEO workflow. Gain insights into multi-agent prompting strategies and essential best practices for creating complex, scalable AI automation systems that deliver consistent performance in real-world scenarios.
Syllabus
00:00 - Intro
00:21 - Core Concept
01:15 - User vs System Prompts
02:56 - Example 1
04:48 - The 5-Part System
05:49 - Why You MUST Use Markdown
06:46 - Overview Section
08:02 - Tools Section
09:14 - Rules Section
10:04 - Output Format
12:11- Full Demo
15:38 - Multi Agent Prompting
19:55 - Best Practices
20:37 - Outro
Taught by
Michele Torti