Practical AI: Machine Learning, Data Science

Models, Harnesses, and Multi-Agent SystemsAI has moved far beyond chatbots, but what exactly are AI models, agents, agent harnesses, and multi-agent systems, and why do they matter? In this episode, Daniel and Chris break down the terminology behind today's AI landscape, explain the differences between AI features and autonomous agents, and explore why organizations are shifting toward fleets of AI agents powered by multiple models. They also discuss open vs. closed models, enterprise AI architectures, vendor lock-in, and practical ways to begin adopting agentic AI in your own organization. If you feel left behind by this ongoing agentic AI revolution that has rapidly accelerated to warp speed, then this episode is the catch-up primer you've been waiting for! Featuring: • Chris Benson – Website • , LinkedIn • , Bluesky • , GitHub • , X • Daniel Whitenack – Website • , GitHub • , X Sponsors: Framer: • The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiMidwest AI Summit: • Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#ticketsPrediction Guard: • A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai Resources and Events: • Register for upcoming webinars here • ! • Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026

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