Everything, in one place.
8 interactive modules · about 1 hour total. Your progress saves on this device as you go — sign in any time to keep it across devicesand syncs when you’re signed in.
- 01 ✓The foundation
What is an LLM (Large Language Model)
Run four steps and watch the model predict text one word at a time. The keystone idea everything else builds on: it isn't thinking, it's autocomplete.
6 min Open → - 02 ✓Orientation
Getting Around the Interface
A guided tour of every control in a modern chat app — model picker, thinking effort, files, voice, projects, history and temporary chat — then three worked examples through the same mock UI.
8 min Open → - 03 ✓What it can see
Context — What the Model Can See
Ask for a client email with no context and get “Dear [Client Name]”. Attach a client list, a product one-pager and a voice guide in the chat, ask again — and watch a generic reply become a specific one.
7 min Open → - 04 ✓Working memory
The Context Window
A live token meter is the hero. Attach one novel to a 128k model and it answers; attach a second and the window overflows — the first book silently drops out of view; switch to a 1M model and both fit.
7 min Open → - 05 ✓The payoff
Projects — Set Context Once
Create a five-a-side coaching project yourself — name it, add the instruction and sources — then run three brand-new chats — website, break-even, marketing — each auto-loading the same context. Fresh never means from scratch.
8 min Open → - 06 ✓Automation
Skills & Schedules
Package a repeated procedure once so it runs the same way every time, fires with one line, and can be put on a schedule. Build a /morning-summary skill and set it for 8am.
8 min Open → - 07 ✓Make things
HTML — The Presentation Layer
Describe a dashboard in plain English and watch the AI write HTML, then render a rich interactive artifact — KPI cards, charts and a data table. The whole course is AI-generated HTML.
7 min Open → - 08 ✓Use it safely
Risks & Issues
Where these tools go wrong and how to stay in control — confident-but-wrong answers, privacy and security, and the habits that keep AI useful without trusting it blindly.
7 min Open →
Want your team to learn this too?
These are the lessons Riz runs with client teams, made hands-on. Bring the interactive version to yours — or book a session tailored to what your team actually does.