As AI adoption accelerates across enterprises, the vocabulary and concepts powering the technology have evolved far beyond simple chatbots. In a deep-dive educational episode, Practical AI hosts Chris Benson and Daniel Whitenack break down the core components reshaping how organizations deploy AI: models, agents, agent harnesses, and multi-agent systems. The discussion clarifies the crucial distinction between AI features bolted onto existing products and truly autonomous agents capable of independent decision-making—a distinction that has profound implications for how companies architect their AI infrastructure. The episode addresses several critical concerns facing enterprises considering agentic AI adoption, including the debate between open-source and proprietary models, architectural choices that prevent vendor lock-in, and practical strategies for organizations just beginning their transition toward AI agent fleets. Rather than treating AI as a monolithic technology, the hosts explain how leading organizations are moving toward orchestrated systems that leverage multiple models in tandem, each optimized for specific tasks. The episode serves as a primer for business leaders and technologists feeling overwhelmed by the rapid pace of change, translating complex concepts into actionable insights for real-world AI deployment.