Prompt engineering is the hands-on craft of figuring out what to say to an AI model so it responds the way you want. This might mean writing clear instructions, adding examples of good responses, structuring information in a specific way, or experimenting with different phrasings to find what produces consistent results. It’s one of the fastest ways to improve model behavior without any training changes, which makes it valuable for rapid iteration. That said, it has real limits: even a well-crafted prompt can’t overcome deep model tendencies, and prompts that work perfectly on one model version may behave differently after an update. For behavior architects, prompt engineering is a core skill, but it’s a starting point — not the whole job.