AI Prompt Engineering is the practice of designing, refining, and structuring instructions that guide artificial intelligence models toward useful, accurate, and consistent outputs. It involves understanding how models interpret context, constraints, examples, goals, and desired output formats.
Effective prompt engineering can include techniques such as providing clear instructions, adding relevant context, using examples, defining roles or constraints, breaking complex tasks into steps, and specifying the expected response structure. It is used across applications such as content generation, data analysis, coding, research, customer support, and AI agents, helping teams make AI systems more predictable and effective.
