Pick High-ROI Use Cases
Choose narrow, repeatable automation projects with accessible data, clear quality standards, and realistic business value.
AI Automations (New & Improved)
Taught by Nate Grahek
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.
What you'll learn
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.
Course curriculum
3 parts · 20 chapters
About Nate Grahek
SaaS founder and Fractional CMO
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.
