Diagnose weak outputs
Spot whether bad AI work is coming from missing context, bad scoping, hallucination, sycophancy, or context rot.
Finally Getting AI to Do Real Work
Taught by Nate Grahek
Learn why AI outputs still fail in everyday work, then apply durable habits for context, prompting, projects, and tool-connected workflows that make models useful for real documents, decks, research, and operating work.
What you'll learn
Package reusable context
Build hot-start documents and project instructions so new chats begin with the right background.
Split complex work
Break research, outlining, writing, and production into separate focused AI passes.
Prompt before prompting
Use AI to interview you, write stronger briefs, and generate better research or system prompts before the real task.
Work as the orchestrator
Decide what belongs with you, what belongs with the model, and what should connect back into your everyday tools.
Course curriculum
1 part · 8 chapters
About 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.
