Template-First AI Workflows: From Messy Data to Perfect Documentation
Build template-first AI workflows that turn messy inputs into polished documents, decks, summaries, and content with repeatable automation and human review.
- Beginner
- 9 lessons
- 1 hr
- Taught by Nate Grahek
What you'll learn
- Find Workflow Opportunities Spot repeatable business tasks where AI can turn messy inputs into useful, structured outputs.
- Design From Templates Use finished examples and templates to define the format, quality, and style AI should reproduce.
- Control AI Outputs Write clearer prompts with constraints, placeholders, and examples that reduce ambiguity and output drift.
- Prioritize Automation Decide which tasks are ready to automate based on business value, repeatability, available examples, and review needs.
- Build Modular Workflows Break complex work into focused workflow steps that summarize, draft, structure, parse, and populate documents.
- Keep Quality Human-Led Review, polish, and simplify automated outputs so useful drafts can become publishable deliverables.
Lessons 9 lessons · 1 hr
Every lesson comes with Pro, $29 a month.
- Lesson 1: Welcome and audience use cases 5 min
- Lesson 2: Why workflows and AI matter 8 min
- Lesson 3: The PB&J prompt analogy 5 min
- Lesson 4: Workshop goals and agenda 5 min
- Lesson 5: What AI workflows can automate 8 min
- Lesson 6: Should we automate this? 7 min
- Lesson 7: Why templates are the key 8 min
- Lesson 8: Building the workflow in n8n 9 min
- Lesson 9: Demo results and Q&A 5 min
Your teacher
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.