Pattern

LLM tooling splits at the build-vs-deploy seam.

The tooling layer is separating into two jobs: helping teams build AI applications faster and helping them operate those systems once they leave prototype mode. That split shows up across evals, app scaffolding, model deployment, agent orchestration, and enterprise context layers. The strongest companies are clear about which side of the seam they own.