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

AI agents currently suffer from a performance gap because they lack the situated business knowledge required for real-world effectiveness. While cognitive intelligence has scaled exponentially, the "context layer"—comprising internal facts, expertise, and operational norms—remains trapped in fragmented systems. To bridge this divide, organizations must move beyond hard-coding agents and instead build a unified "company brain" that treats context like code, complete with versioning, dependency management, and self-improving feedback loops. This infrastructure allows agents to learn from historical mistakes and evolving business requirements, similar to how human employees gain expertise on the job. Ultimately, as AI models become commoditized, this proprietary context layer serves as a critical competitive advantage, encoding a company’s unique culture and operational intelligence into machine-usable formats that drive autonomous, high-impact decision-making.