Map the current AI surface area
See where chats, projects, skills, agents, and workflow layers fit in 2026.
1-session masterclass • enrollment open
Finally Getting AI to Do Real Work
- sessions
- 1
- session length
- 90-min
- format
- Live on Zoom
- replay
- 24h
- access
- Free RSVP
About this live course
AI has gotten faster, weirder, and harder to keep up with. If you tried it a year ago and walked away frustrated, or you have been reading the headlines wondering which tools are worth your time, this one is for you.
We will walk through how AI works in 2026 and what separates reliable, useful output from the hit-or-miss results most people get. We will tour the surfaces: chats, projects, skills, agents, and the rest. Then we will dig into the context practices power users layer on top to get consistent, trustworthy work out of any model.
In this session, you’ll learn
Use prompting habits that travel
Learn memorable patterns that work across tools instead of brittle one-off prompt tricks.
Make context the system
Understand why context management separates toy demos from reliable work.
Stack toward power-user workflows
Combine context, projects, instructions, skills, and multi-agent workflows without losing control.
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 clear map of where AI lives in 2026: chats, projects, skills, agents, and where each one fits.
- The prompting habits that are easy to remember and work across use cases.
- Why context management is the difference between toy AI and reliable AI, even as models get bigger.
- How power users stack context, projects, instructions, and skills to compound output quality.
- A simple way to read any AI story, pitch, or update at work.
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.