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Prompt Engineering

There are no magic words. Good prompting is just clear thinking made explicit: say what you want, show what good looks like, and iterate.

The practice of structuring instructions to AI systems so they produce reliable, high-quality outputs. Good prompt engineering isn’t about magic phrases or secret tricks; it’s about clarity of thought. A well-engineered prompt specifies what you want, provides enough context to constrain the output space, and iterates based on what comes back. The fundamentals are structure (how you organize the request), specificity (how precisely you describe the desired output), and iteration (treating the first attempt as a draft, not a final answer).

We treat prompt engineering as a foundational literacy skill, not an advanced technique. In our Effective AI workshop, it’s the starting point: once participants can write clear, structured prompts, they’re ready to move into more powerful techniques like reverse prompt engineering, meta-prompt engineering, and context engineering. The leverage isn’t in any single prompt; it’s in building the habit of thinking precisely about what you need before you ask.

Resources

  • Effective AI — covers prompt engineering fundamentals in Session 2
  • Context Engineering — the complementary skill of supplying the right background information

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