Why AI agents can't enforce their own data permissions, and how server-side row-level security isolates tenants before any query runs.

What an AI agent data model needs: column descriptions, keys, live values and versioned metric definitions, with the research behind each part.

The four layers and 14 components a data agent needs before people can rely on its answers, with the research behind each one and a readiness checklist.

Self-improving agents get better via context, memory, and eval loops, not retraining. A no-hype guide grounded in ACE, Voyager, and Reflexion research.

A semantic layer is context engineering for structured data. Benchmarks show governed definitions lift AI agent accuracy by 17 points. See why and how.

The best context engineering tools in 2026, organized by layer: memory, retrieval, MCP, observability, and governed data context. Top tools by layer.