AI Crash Course: Prompt Engineering

Prompt engineering is essential for using AI models in production applications where consistency and structured output matter. The post explains why casual prompts fall short and introduces the role+task+format+example structure as a best practice. It also clarifies how LLMs actually work — as document completion engines rather than conversational partners — and why framing prompts to mirror training data patterns leads to better results. A real-world system prompt from a playlist generator app is used as a concrete example.