Finally Getting AI to Do Real Work

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.

  • Beginner
  • 8 lessons
  • 1 hr 11 min
  • Taught by Nate Grahek
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What you'll learn

  • Diagnose weak outputs Spot whether bad AI work is coming from missing context, bad scoping, hallucination, sycophancy, or context rot.
  • 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.

Lessons 8 lessons · 1 hr 11 min

Every lesson comes with Pro, $29 a month.

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.

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