The conversation around artificial intelligence continues to mature, and increasingly, the industry is recognizing a fundamental truth: the model is not the agent. What distinguishes a reliable, production-grade AI system from an experimental prototype isn’t the underlying language model—it’s the harness that orchestrates it. This shift in focus, visible across recent discussions in the AI … Read more
As AI agents transition from research prototypes into production systems managing critical business operations, the industry is experiencing a significant inflection point. The distinction between having a capable model and operating a reliable agent system has become increasingly clear—and the gap between them is precisely where harness engineering operates. Today’s coverage reveals a maturation in … Read more
The distinction between models and the systems that harness them has become the defining conversation in enterprise AI. As agentic AI transitions from research prototypes to production systems, the engineering discipline surrounding agent orchestration, reliability, and governance is crystallizing rapidly. Today’s news cycle reflects this maturation: we’re seeing clearer articulations of what harness engineering actually … Read more
The conversation around AI agents continues to deepen as the engineering community recognizes what we’ve been asserting for months: the harness—not the model—is the critical engineering frontier. Today’s coverage reflects a maturing industry perspective shift from “which model should we use?” to “how do we architect systems that reliably harness whatever model we choose?” This … Read more