The true differentiator in building intelligent AI systems today is not just the prompt but the context, marking the age of Context Engineering.
Context engineering involves dynamically providing relevant knowledge, instructions, tools, and memory to AI models at runtime tailored to the task at hand.
Context engineering ensures AI models can actually complete tasks by considering all relevant inputs and providing rich context for responses.
Effective context engineering involves dynamically constructing context, deciding what knowledge and tools to load, and presenting data clearly to improve AI model performance.