Prompt engineering is the craft of structuring instructions, examples, constraints, and context so the model responds more usefully. It matters because the same underlying model can behave quite differently depending on how the task is framed.
That shows up repeatedly in the chatbot, fine-tuning, and intent classification posts. In real systems, prompt engineering is often part of the product logic, evaluation loop, and error analysis process.
