Context Engineering expands the design of human–AI interaction beyond the formulation of individual instructions. In this handout, we will begin with Prompt Engineering, examining the prompt as a linguistic interface for defining objectives, information, constraints and evaluation criteria.
We will then explore the broader AI context, including conversation history, documents, tools, memories, system instructions and retrieved information that influence a model’s behavior. We will examine how Generative AI operates within these conditions and why effective context design can improve relevance, controllability and verification without eliminating model errors. Finally, we will consider agentic systems, where context engineering must also address permissions, validation, traceability and control of actions that can modify external environments.
From Prompt Engineering to Context
Engineering
Key points
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