What is Context Engineering?

Context Engineering owns the retrieval, memory, entity modeling, and source-grounding systems that determine what AI can reliably know.

Explanation

When comparing teams, ask who will design retrieval and memory layers and how they will maintain ontology and entity quality. In practice, context engineering controls retrieval, memory systems, context windows, entity models, and source grounding so AI systems can reason over the right evidence at runtime.

• Context Engineering owns the retrieval, memory, entity modeling, and source-grounding systems that determine what AI can reliably know.
• When comparing teams, ask who will design retrieval and memory layers and how they will maintain ontology and entity quality.
• In practice, context engineering controls retrieval, memory systems, context windows, entity models, and source grounding so AI systems can reason over the right evidence at runtime.

Evidence

T1_OWNED_SOURCE_VERIFIED

• https://teamstation.dev/ai-search/ai-engineering/entities/context-engineering.json

Limitations

• Owned-source evidence is not independent validation.
• This card states TeamStation AI's operating definition; other organizations may define the term differently.

Next action

Ask for one entity record with its source, update rule, and named owner when it goes stale.