Video course · 15 chapters · 24 min · certificate
AI Agent System Automation in n8n: Build Workflows Fast with Claude 4
Generate whole n8n agent systems from one prompt with Claude: a Claude project vs direct chat, extended thinking and web search, import into n8n, subworkflows and model selection, LangChain agent nodes, tool limitations, a master prompt for valid JSON, real APIs only, error handling and three business examples.
What you'll learn
- Generate n8n agent systems with Claude
- Import JSON workflows into n8n
- Design multi-level agents with subworkflows
- Work within AI agent tool limits
- Write a master prompt for valid, importable JSON
- Apply the method to business examples
Chapters
15 chapters · 24:08-
1:23
01Intro Members
Building an agent army from one prompt
Two methods and a live demo.
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1:22
02Generate Members
Opus, extended thinking and import
Generation process and importing.
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2:25
03Architecture Members
Subworkflows and model selection
Multi-level agents and dynamic models.
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1:42
04n8n Members
AI agent node and tool limits
LangChain agent nodes and tool restrictions.
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1:26
05Limits Members
Claude's tool understanding
Why naive prompts fail.
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1:15
06Prompting Members
The master prompt
Requirements for 100% valid JSON.
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1:22
07Prompting Members
Two stages and real APIs
Analysis then generation; avoiding fictional APIs.
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1:12
08Scope Members
Start small: three agents
Credits and tool limits.
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1:30
09Reliability Members
Success/error handling
Wiring success and error outputs.
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1:49
10Examples Members
Three business examples
A TikTok agency and Claude project components.
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1:30
11Tools Members
The cheat code
Using real business tools despite limits.
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2:04
12Build Members
Knowledge base and generated agents
Custom knowledge and the TikTok agents demo.
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1:34
13Examples Members
Import walkthrough and Pet Pal
Importing and a second example.
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1:26
14Examples Members
Emergency care and provider management
Pet Pal agents.
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2:08
15Examples Members
Chaos Coffee Co and wrap-up
Coffee shop agents and 0-to-80% creation.
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