"I know AI is important, but where do I actually start?"

For a while now, AI anxiety has been spreading through my circle of friends and family. The people asking come from marketing, HR, sales, education, healthcare, accounting — just about every field. They don't lack information. If anything, they're drowning in it.

You don't need to understand math or know how to code, but you do need to know roughly what AI is doing.

Once your mental picture is right, you'll naturally ask better questions, and you'll know when not to trust it. This post covers the most important ideas in ten minutes.

Same question — so why do other people get great answers while you get a pile of waffle?

The difference almost never comes down to the tool. It comes down to whether you said everything you needed to say. This post gives you six principles and templates you can copy straight away.

"ChatGPT, Claude, Gemini — which one is actually best?"

It's the question I get asked most, and also the hardest to answer directly, because the answer depends on what you do day to day. So instead of comparing spec sheets, this post sorts them by the kind of work you do.

Has this ever happened to you? AI gives you a law section number, a research report, or a web link, and it all sounds completely convincing. Then you go look it up — and it doesn't exist.

This is called a "hallucination." It's not an occasional bug; it's built into how this technology works.

The biggest trap in learning AI is treating it like a course you have to find extra time for.

What actually works is the opposite: use AI directly on the work you already have to do. This 30-day plan is built on that idea. Fifteen minutes a day, all spent on real tasks.