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A full day · built for non-technical operators

Operating Agentic OS.

By the end of today you’ll understand what Agentic OS really is, why it’s different from any app you’ve used, and how to make it work for you — without writing a line of code.

14 short modules4 partsHands-on after lunchNo coding required
The shape of the day

Your roadmap

Mornings are for understanding, afternoons are for doing. Learn the mental models first, then put them to work in your real Agentic OS.

Part A
Foundations
1What an LLM is (and isn’t)
2How an AI agent does a task
3The pitfalls of agents
4The landscape of software
Part B
The plumbing
5APIs, webhooks & cron
6What code can do
7Agentic vs deterministic
Part C
Agentic OS
8The 3-layer stack
9The 4 modes you work in
SThe Studio — your cockpit
Part D
Hands-on
10Hands-on: the safe three
11Hands-on: build a workflow
12Best practices & guardrails
13Capstone + cheat sheet
You are here: Welcome. Next stop — what an LLM actually is.
How to use this course

Three simple rules

Watch the picture

Every module is one interactive visual and a short task. Get the shape of it — don’t memorize.

Do the small task

Each module ends with a two-minute “try it.” Doing beats reading. The afternoon is all hands-on.

You can’t break it

You start with safe actions. Everything is logged and reversible. Curiosity is the goal.

Try it · 2 min

Before we start, one honest answer

Finish this sentence on a sticky note: “The most robotic, repetitive part of my week is ______.” Keep it close — in Module 11 you’ll turn that exact task into a working automation, so you get your time back for the work that matters.

Jenna AI