Learn AI by making
better decisions.

Five routes turn a large library into a smaller next step: everyday use, professional leverage, product decisions, hands-on building, or the full map. Pick a job first; let the route choose the theory.

The same question forks two ways, depending on whether you give it constraints. Its default answer works for the most people — so it covers nobody's actual edges.

It doesn't know what you already know, so it pulls a source domain from the public question bank. Leave that slot empty in the question, fill it with something you already get — then the mapping lands on experience you can check.

Numbers, timelines, names and parameters, obscure materials, whether a feature exists — treat these five as suspect by default. In a paragraph that reads smoothly, the invented bits almost always land in these five spots.

Decide by the stakes whether to leave the chat and check the source. The smoother and more complete the answer, the more you should pull one claim and check it against the source.

Six ordinary scenes show where AI changes the shape of work: turning rough notes into structure, explaining specialist material, rehearsing decisions, and making a first version. Start from the outcome you want to move.

See how a vague request changes when you add the situation, the desired result, and the boundaries. The lesson turns prompting from a talent contest into a small specification exercise.

Assemble context, request, constraints, and output format into a brief you can inspect. The useful skill is not finding a secret phrase; it is making the intended result easier to evaluate.