Context engineering involves designing AI systems to accurately interpret and apply real-world or business-specific context when generating outputs. This includes selecting what data is relevant, structuring it for the model, and ensuring it is applied in decision-making processes. Effective context engineering leads to AI outputs that are not only factually correct but also aligned with the goals, constraints, and nuances of the specific business environment.
