AI has moved far beyond chatbots. In this episode, Daniel Whitenack and Chris Benson break down the terminology behind today's AI landscape, explaining the differences between AI features and autonomous agents, and why organizations are shifting toward fleets of AI agents powered by multiple models. They also cover open vs. closed models, enterprise AI architectures, vendor lock-in, and practical ways to begin adopting agentic AI. This conversation serves as a primer for anyone feeling left behind by the rapid acceleration of agentic AI.
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Highlights
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AI Features vs. Autonomous Agents
The episode distinguishes between AI features, which are specific capabilities embedded within applications, and autonomous agents, which can act independently to complete tasks.
Organizations are moving away from single models and toward fleets of AI agents, each potentially using different underlying models, to tackle complex tasks.