AI Automations (New & Improved)
Build reliable AI automations with n8n, Claude, and structured outputs to classify data, orchestrate multi-step workflows, debug integrations, and ship practical systems that save time.
- Intermediate
- 20 lessons
- 3 hr 42 min
- Taught by Nate Grahek
What you'll learn
- Pick High-ROI Use Cases Choose narrow, repeatable automation projects with accessible data, clear quality standards, and realistic business value.
- Build Agentic Workflows Build N8N workflows with triggers, data sources, AI steps, loops, and output updates that move information reliably from start to finish.
- Collaborate with Claude Use Claude to plan automations, generate workflow JSON, write prompts, create schemas, and adapt templates to your tools.
- Prompt for Reliable Output Design focused AI nodes with stable system prompts, dynamic inputs, and structured JSON outputs for dependable downstream processing.
- Debug with Confidence Test and debug workflows by inspecting node outputs, pinning data, using execution history, and reconnecting credentials, fields, and destinations.
- Optimize and Deploy Improve automations by evaluating output quality, comparing models, estimating API costs, and publishing workflows when they are ready to run.
Lessons 20 lessons · 3 hr 42 min
Every lesson comes with Pro, $29 a month.
Agentic Workflow Foundations
- Lesson 1: Welcome and Bootcamp Overview 4 min
- Lesson 2: Instructor Background and Session Goals 6 min
- Lesson 3: Why Agentic Workflows and Evals Matter 9 min
- Lesson 4: Choosing the Right Automation Use Cases 6 min
- Lesson 5: N8N Demo: Classification Workflow Basics 8 min
- Lesson 6: Using Claude to Build Prompts and Schemas 9 min
- Lesson 7: Debugging, Pin Data, and Template Setup 9 min
- Lesson 8: Best Practices, ROI, and Next Steps 10 min
AI Workflow Orchestration Patterns
- Lesson 9: Workshop Introduction and AI Content Strategy 6 min
- Lesson 10: Building a Claude Project and Skill for N8N 7 min
- Lesson 11: Using the Multiple Choice Interview Method 12 min
- Lesson 12: System Prompts, Schemas, and Workflow Design 13 min
- Lesson 13: Live N8N Demo: Sheets, Looping, and Gemini Analysis 18 min
- Lesson 14: Debugging, Notion Output, and Final Sheet Updates 26 min
AI Workflow Automation Foundations
- Lesson 15: Welcome and Workshop Overview 8 min
- Lesson 16: Choosing the Right Automation Projects 10 min
- Lesson 17: Building with Claude and N8N Projects 11 min
- Lesson 18: From SOP to Raw JSON Workflow 17 min
- Lesson 19: Writing System Prompts for the Coaching Workflow 15 min
- Lesson 20: Testing, Publishing, and Final Q&A 18 min
Your teacher
Nate Grahek
AI Educator @ The Rundown University
Nate is a SaaS founder and Fractional CMO who helps product-driven businesses build marketing systems that actually work — without the fluff. He's spent years helping founders and operators cut through marketing complexity and put the right things on autopilot.
At Rundown University, Nate brings that same hands-on, no-jargon approach to AI education. His workshops and courses focus on practical automation and AI workflows you can deploy the same day — no engineering background required. If you've ever wanted to use AI to get your time back, Nate shows you exactly how.