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In this episode of Tech Time with Thomas, Rich and Thomas dig into one of the biggest shifts happening in AI right now, the move from single-model agents to dual-model and multi-model architectures. They break down why this matters for real enterprise deployments, and why the future of agentic systems may depend less on bigger models and more on smarter design. If you want a practical look at where AI infrastructure is heading next, this conversation delivers it. The episode covers the evolution from early chat-based LLM workflows to modern orchestration patterns, including tool use, Responses APIs, MCPs, routing layers, and model specialization. Rich and Thomas explore how a dual-model setup can reduce token costs, improve control, tighten security, and better manage context windows by separating orchestration from reasoning. They also get into the real-world tradeoffs between single-model simplicity, dual-model efficiency, and multi-model complexity, especially for support agents and other high-scale business use cases. If you're building with AI, deploying enterprise agents, or trying to understand what comes after the basic chatbot era, this is a must-watch episode. Be sure to like, subscribe, and follow The AI Guys for more deep dives into the systems, strategies, and architecture shaping the future of AI. https://www.raiaai.com/ All links: https://lnkd.in/eXDpww6V Spotify: https://lnkd.in/ee9h9GYB Youtube: https://lnkd.in/etDvqQ7d Apple: https://lnkd.in/epYT2GSi

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