TECHNOLOGY
In a world of large language models knowing how to ask the right question is more valuable than knowing the answer.
For most of human history, intelligence was largely measured by the amount of information someone could memorize and recall. Then came the search engine, which shifted the value from *knowing* the answer to knowing how to *find* the answer. Today, large language models like ChatGPT have shifted the paradigm again: the value is no longer in finding the answer, but in knowing how to ask the right question.
This skill is called prompt engineering. It is the art of communicating intent to a machine in a way that yields precise, useful, and creative outputs. It requires logical framing, clear syntax, and an understanding of the model's underlying assumptions. When a student learns to write a good prompt, they aren't just learning how to use an AI; they are practicing structured thinking, emotional intelligence, and rigorous logic.
In our classes at HafStorm, we don't just teach students to "talk" to AI. We teach them to direct it, constrain it, and challenge it. We teach them how to identify when the AI is hallucinating and how to re-engineer the prompt to fix it. This is the new literacy. Just as previous generations learned to type or to code, this generation must learn to prompt. Those who master it will amplify their capabilities a hundredfold; those who don't will be left consuming the outputs of those who do.