While basic prompt engineering handles what to say, context engineering builds the operational reality for the AI.

Precision: Delivers the exact information necessary to solve a problem.
Efficiency: Filters out noisy, irrelevant data to prevent “context rot” and reduce token usage.
Relevance: Adapts to historical state, user preferences, and real-time external data.