Glossary
Context engineering
Quick answer
Context engineering is the practice of curating exactly what an AI model sees at inference — retrieval, memory, and prompt structure — so it reasons correctly instead of drowning in irrelevant tokens.
It is where most real-world agent quality is won or lost. The failure mode is a smart model given weak or bloated context producing confidently wrong output; the fix is better retrieval, routing, and context-layer design.
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