Most people blame the machine when an answer comes back bland, vague, or quietly wrong. Usually the machine is innocent. It answered the question it was actually given — and the question it was given was a shrug dressed up as a sentence. "Tell me about mortgages" is not really a question. It is a topic, handed over with no size, no angle, and no purpose, and the answer it earns is exactly as shapeless as the ask.
Here is the good news this whole book rests on: you do not need longer prompts. You need stronger words. A single well-chosen verb — rank, exclude, steelman, audit — does more work than three paragraphs of background, because a verb tells the machine what to do, not just what to talk about. Qualifiers do the same quiet work. "For a first-time buyer in Ohio, in under two hundred words, with the costs in a table" is not a longer request; it is a placed one. The answer improves because the aim improved.
This book collects seventy-two of those words, grouped by the job they do: sharpening a question, constraining an answer, structuring it, challenging it, verifying it, and creating with it. Each entry shows a prompt twice — once the way a beginner types it, once with the word in it — and then does it again with a second example from a different corner of life, so you can see the difference instead of being told about it — and each entry closes with a short note on how the word itself can go wrong, and one sentence that places it perfectly. You do not need all seventy-two. Most people find that six or eight of them transform nearly every conversation they have with an AI.
A note on the title, since a careful reader will have noticed it ends with a preposition. It does. Some rules exist to make language clearer, and some exist only to make writers nervous. This book is firmly about the first kind.
Use it like a toolbox, not a textbook. Keep it near wherever you type. When an answer disappoints you, do not start over — reach for a word.
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