WTF Is the Context Layer? The Missing Infrastructure for Production Agents — Prukalpa Sankar

Context is the critical missing component for transforming AI from a high-IQ tool into a high-performance business asset. While cognitive intelligence has grown exponentially, AI remains limited by a lack of situated knowledge, expertise, and organizational norms. Effective AI deployment requires a "context layer" that functions as a company brain, managing data, skills, and memory with the same rigor as software development. By treating context as code—complete with versioning, dependency management, and lifecycle oversight—organizations can move beyond hard-coded, isolated agents to cohesive, learning-driven systems. This shift is essential because, in a landscape where model intelligence is increasingly commoditized, proprietary context becomes the primary source of competitive advantage and the foundation for building truly autonomous, effective enterprise agents.