Getting Started with AI
Ten short modules. No jargon, no hype — just what actually works.
Cut through the noise: what today's AI tools genuinely do, what they can't do, and why the difference matters for your work.
5 min read
Tokens, training and context windows — just enough of the machinery to explain the strange behaviour you will run into.
6 min read
The four ingredients that separate a prompt which produces generic filler from one that produces something you would actually send.
6 min read
Why pasting in your own material transforms results, and how to give a model what it needs without oversharing.
6 min read
Why AI invents facts with total confidence, which situations make it most likely, and a checking routine that takes under a minute.
6 min read
The people who get the most from AI rarely accept the first answer. Here is how the back-and-forth actually works.
5 min read
A practical map of tasks worth delegating, tasks to keep, and the ones that look like wins but cost you later.
6 min read
Where your data actually goes, what Saudi Arabia's PDPL means for you in practice, and a rule you can apply in two seconds.
6 min read
Chat tools, reasoning models, search-connected assistants and document tools — what the categories are and when each one matters.
5 min read
Most people try AI, find it interesting, and quietly stop. Here is how to turn what you have learned into something that sticks.
5 min read
Go deeper in your field
The same principles, worked through with the real tasks of your profession.
See what's inside