AI Follows Instructions

Most people first encounter AI through chat interfaces. You type something, it responds, you clarify, it adjusts. That feels conversational. But instructional engineering is different. In production systems, the model is usually only one part of a larger system. Between the user and the LLM, there is often a layer that handles: - context and memory - system instructions - formatting rules - tool usage - workflow logic - safety checks - user experience That layer shapes how the system behaves. This course is about learning how to design that behavior intentionally. You are not just writing messages to a chatbot. You are configuring how a system should behave when users interact with it. Consider these two prompts: - "Write about teamwork." - "Explain teamwork to a new employee in 3 bullet points." Same model. Different behavior. Small changes in instructions change: - structure - tone - audience - output shape - consistency That is the foundation of instructional engineering. A prompt is not a casual message. It is a behavioral specification written in natural language. The goal is to create prompts that still work correctly after you leave the room.