A conceptual namespace for safe, steerable, and interpretable AI workflows. Structured for the next generation of model context.
Adjective. Pertaining to a collected arrangement of reasoning patterns or logic fragments. In computational systems, the systematic organization of agentic outputs.
Ideal for frameworks managing "anthologies" of specialized agents working in concert.
A natural home for Constitutional AI libraries and safety-guided model behaviors.
Semantic fit for Model Context Protocol (MCP) servers and data retrieval systems.
High-trust branding for institutional EdTech or corporate knowledge graphs.