AI, explained for the rest of us.
Been asked to "look into AI" at work? Starting an AI course? Wondering what it means for your job? Start here. Short videos and plain English, for anyone, whatever your role.
Start with this video.
If you only watch one thing, make it this: what AI is, the buzzwords decoded (LLM, agentic, data lake, RAG), what AI agents can do with your data, what it means for your work, and how to get started safely.
You don't need to be “in IT”.
This is for anyone whose job is starting to involve AI. That's almost everyone now.
- Admin & office
- Finance & accounts
- HR & people
- Operations
- Sales & marketing
- Customer service
- Healthcare
- Retail
- Logistics
- Public sector
- Managers
- Students & career changers
About five minutes a step.
Each step has a short video, three key takeaways and one thing to try at work. Do them in order, or jump to what you need.
- 5 minWhat AI actually is
Without the jargon: what's going on when you type into a chatbot, and why it sometimes gets things confidently wrong.
- 5 minWhat it can and can't do
Where AI saves real time at work, and where you still can't trust it.
- 5 minUsing AI safely at work
What you should never paste in, how to check what comes out, and why your company's policy matters.
- 5 minGetting good results
Simple ways to ask that get useful answers, with examples from everyday work: emails, reports, spreadsheets and customer queries.
- 5 minAI and your job
How roles are changing, which skills matter more now, and how to make AI work for you, not against you.
- 5 minThe jargon buster
LLM, prompt, hallucination, agentic, data lake, RAG… every term you'll hear, explained in a sentence.
Three things worth knowing.
It's a tool, not magic
AI predicts likely answers from patterns. That makes it fast and useful, and also able to be confidently, convincingly wrong.
You're still responsible
Whatever AI helps you write or decide, your name is on it. Checking the output is part of the job.
Your skills matter more
Judgement, context, knowing your customers and your work: AI can't replace those. People who combine them with AI become more valuable.
Your first five-minute experiment
Take an email you've already written (with no names, customer details or anything confidential in it) and ask an approved AI tool: "Make this clearer and more friendly, and keep it under 120 words."
Then compare. What did it improve? What did it get wrong, or change that it shouldn't have? That habit of checking is the most important AI skill there is.
The AI Explained library
Fifteen topics, from machine learning to generative AI and responsible AI, each explained with what it is, where it helps, and where it goes wrong.
Explore AI Explained →Share it with your manager.
If your whole team is being asked to "get up to speed on AI", a short, practical session together can save weeks of guesswork, and keep everyone safe.
Hear when a new step goes live.
New lessons go up on YouTube first, and I share each one on LinkedIn.