How do I get reliable results from an AI model?

Writing a prompt that works once is easy. Getting a model to do it reliably, every time, is the real skill, and it eludes almost everyone at first. The model is not a machine that obeys exactly; it is more like a very capable, very literal helper that fills any gap you leave with its own guess. Unreliable results usually mean there is a gap to close. Be more specific than feels necessary. Show the model exactly what good looks like with clear examples, spell out the format you want, and say what to avoid. Most unreliability comes from asking for something in your head that you did not fully put into words. The clearer and more concrete you are, the less room the model has to wander. Then test and adjust, patiently. Try your prompt many times, notice where it drifts, and tighten the part that let it drift. This is not failure; it is the actual craft. Reliable prompting is built through small, steady rounds of trying and refining, the same way any real skill is learned.