Three routes through the same material, depending on where you are starting from. Each step ends in something you can check.
Most people try AI once, get a so-so answer, and stop. The problem is rarely the tool. It is that nobody gave them a path.
This roadmap follows how people learn: know why you are here, focus on one thing, practise on real work, get feedback, then widen out and learn to judge results.
Learn one tool, on one real task, then build from there.
Step-by-step master progression from curiosity to mastery
Motivation and mindset come first. A clear reason keeps you going when it gets confusing.
Your goal: Write one sentence on what you want AI to help you do.
What you’ll learn
Your why
The work or life problem you want to solve
A clear goal
Small enough to finish in weeks
A learner’s mindset
Mistakes are part of the method
Using one tool beats sampling five. Starting with work you already know lets you spot good and bad answers.
Your goal: Finish three familiar tasks with one tool.
Choose an area to explore
Writing and email
Drafts, edits, replies
Research and study
Summaries and explanations
Planning and organising
Schedules, lists, ideas
Skill grows by doing. After each task, note what worked, change your prompt and try again.
Your goal: Practise for 15 minutes a day for two weeks.
Two paths
Solo practice
Use a daily task and keep a short log
Practice with feedback
Share results and get a second opinion
Stay current on new tools and practise them hands-on, 15 to 20 minutes a day.
Your goal: Try a new AI tool each week on a real task.
Register for this Saturday’s tool session →Your weekly rhythm
Most days
Use a different AI tool on a real task
Stay updated
Know what’s new in AI tools
Saturday sessions
Learn new tools from speakers and founders
Once one tool feels natural, link tasks into simple workflows that save you time every week.
Your goal: Build one repeatable workflow.
Project ideas to get started
Weekly report builder
Meeting notes to action list
Customer reply helper
Lesson or content planner
AI can sound sure and be wrong. Learn to test answers, protect private data and say when AI helped.
Your goal: Review any AI output with a checklist before you use it.
What you’ll learn
Fact-checking
Verify claims and sources
Privacy
What never to paste in
Fair and honest use
Bias, credit and disclosure
Foundation mindset and mastering your first focused tool on familiar daily assignments.
Daily hands-on practice on real tasks, logging iterations and getting peer review.
Test new AI products each week with guided community workshops every Saturday.
Connect multiple tools into your first end-to-end repeatable automated routine.
Instill permanent habits: fact-checking, privacy boundaries, bias checks, and responsible output validation.
The AI glossary explains every term these paths use, in plain English and without assuming you have met it before.