1-session masterclass • enrollment open

Get Consultant-Grade Strategy From the AI You Already Pay For

Taught by Nate Grahek
sessions
1
session length
90-min
format
Live on Zoom
replay
24h
access
Free RSVP

Get consultant-grade strategy from AI

AI just got very, very good, and we are getting our first glimpse of a world where we pay for exactly what we use.

But the latest models will happily agree with a bad plan, polish it beautifully, and hand it back. Getting real strategic thinking out of AI takes a method, not just a better model.

In this live session, Nate Grahek will teach that method on the tools you already have, plus when it is worth paying up for the biggest models.

In this session, you’ll learn

1

Turn trusted strategy frameworks into AI engines

Use any strategy framework or book you trust to pressure-test ideas instead of starting from a blank chat.

2

Make AI an honest advisor

Stop AI from agreeing with you and force sharper critique, tradeoffs, and second-order thinking.

3

Use the $50 question filter

Separate decisions that deserve premium AI from questions that cheaper tools can handle well enough.

4

Brief AI like an expensive consultant

Write better briefs, set expectations, and estimate cost before running high-value strategy work.

5

Prepare for metered AI

Build habits for a world where the best AI is paid by usage, not all-you-can-eat access.

What to expect

Live on Zoom

A link will be sent to your email after you reserve your spot.

Context-first workflows

We will focus on reliable inputs, instructions, projects, and repeatable setup.

Open Q&A

Bring the AI workflows you are trying to make more dependable.

Replay after the session

The raw replay can be made available before this becomes an on-demand course.

A preview of what we’ll cover

  • A practical method for using AI to pressure-test strategy instead of simply polishing ideas.
  • A reusable briefing structure for high-leverage AI strategy work.
  • A decision filter for when to use premium AI versus everyday tools.
  • A clearer understanding of how to manage cost, quality, and judgment in metered AI workflows.

About Nate Grahek

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.