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In this special episode, we bring you highlights from three talks at the Midwest AI Summit. Heidi Porter explores how to build reliable AI-augmented workflows using the right tools, evaluations, and guardrails. Kevin Solorio shares why building AI with frontline workers, not just for them, is key to earning trust and driving adoption, emphasizing collaboration and continuous feedback. And Chris Shinkle and Andrew Dunlap of SEP discuss how software teams can find the right level of AI autonomy based on their goals, constraints, and verification needs, sharing lessons from teams using AI to build software more effectively.
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Chris’s new book The Art of Swarming will be published soon, written to be the seminal foundational book for the fledgling swarming industry, defining the principles and architecture that enable autonomous agentic UxS swarms with emergent unified embodied intelligence.
AI is changing cybersecurity, accelerating vulnerability research and exploit development while raising new questions about reliability, risk, and guardrails. Daniel and Chris talk with Spencer McIntyre, Director of Exploit Development at VulnCheck, about how agents are being used to discover vulnerabilities, why many proof-of-concept exploits (POCs) fail to deliver, and how initial access intelligence helps security teams prioritize real threats. They also explore the limitations of AI-assisted exploitation, the challenges of AI guardrails for security researchers, and what these developments mean for the future of threat intelligence.
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Chris’s new book The Art of Swarming will be published soon, written to be the seminal foundational book for the fledgling swarming industry, defining the principles and architecture that enable autonomous agentic UxS swarms with emergent unified embodied intelligence.
Schools and universities are failing to adapt to our modern world, in which AI is becoming increasingly pervasive in all aspects of life and work. In fact, AI may be changing what should be considered foundational knowledge that all students must learn.
In this Fully Connected episode, Daniel and Chris explore the role of AI in education and the future of learning. They note the bureaucratic inhibitors to educational reform, and the fact that classroom teachers don’t have the authority to innovate and personalize the learning process for their students, and discuss how AI tools can support personalized learning while preserving critical thinking, creativity, and problem-solving skills.
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Chris’s new book The Art of Swarming will be published soon, written to be the seminal foundational book for the fledgling swarming industry, defining the principles and architecture that enable autonomous agentic UxS swarms with emergent unified embodied intelligence.
As AI reshapes how we work, create, and think about our roles, staying adaptable means understanding not just the technology, but our own stories and identities. Reed Frerichs joins Daniel and Chris to explore narrative intelligence, storytelling, leadership, and personal growth in an AI-driven world. They discuss how entrepreneurs and leaders can use AI tools to navigate changing roles, embrace uncertainty, and develop emotional intelligence along with Reed's “own, author, act” framework.
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As AI moves beyond the cloud and into robots, vehicles, and other physical systems, new approaches to models, simulation, and inference are emerging. Daniel and Chris are joined by Ming-Yu Liu, Vice President of Cosmos Lab at NVIDIA, who shares his perspective on open models, world models, and the future of physical AI. They explore why open models matter for innovation, how world models can help AI understand and simulate the physical world, and what it could take to build increasingly capable physical AI systems.
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AI agents are moving beyond laptops and prototypes and into enterprise environments where security, compliance, scalability, and reliability matter. Nick Kuhn from VMware Tanzu Platform joins Daniel and Chris to discuss what changes (and what doesn’t) when deploying agents alongside traditional applications. They explore agent build packs, MCP gateways, shared memory, identity, sandboxing, and what enterprises can learn from years of platform engineering. Nick also shares practical advice for organizations adopting agents today and looks at what the future of AI could mean for enterprise teams and software development.
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AI search is changing how people discover information and how brands need to think about visibility. Daniel and Chris talk with Liam Dunne and Ben Moore, co-founders of Discovered Labs, about the shift from traditional SEO to AI search, what happens behind the scenes when an LLM generates an answer, and why retrieval and citations don't always tell the whole story. They dig into AI visibility, Reddit strategy, query fan-out, representation in model weights, and consensus. They also look ahead to a world where AI agents don't just discover websites, but interact with them and take actions on behalf of users.
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Longtime followers of Practical AI know that multi-repeat guest and friend Demetrios Brinkmann combines brilliant insight and playful banter into one fun-filled show, and this conversion with Chris was no different. They had a blast!
As AI agents become more capable of using computers, interacting with software, and taking action on behalf of users, what does that mean for the way we work and interact with the internet? Chris and Demetrios explore computer-use agents, MCP, agent harnesses, agent-to-agent interactions, and prognosticate the emerging possibilities around agentic commerce. They also discuss how these tools are already being used to automate everyday tasks, the challenges of bringing computer-use agents into enterprise environments, and how the relationship between models and agent harnesses is evolving.
In fact, they had so much fun that their conversation continued long after the show was over, but we didn’t get that here. 🤷♂️
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As AI moves from experimentation to enterprise deployment, are organizations thinking too much about models and not enough about architecture? In this episode, Daniel and Chris talk with Chetan Gupta, Chief AI Officer at Rackspace, about the evolution from industrial AI and physical AI to today’s enterprise AI landscape. Discover how organizations can navigate the complex AI landscape responsibly and effectively as they think about AI architecture, model deployment, AI governance, and AI sovereignty.
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How do we build an AI ecosystem where agents, tools, and systems can work together at scale? Angie Jones, VP of the Agentic AI Foundation, joins Chris to discuss the open standards and projects shaping the agentic future, including MCP, A2A, Goose, etc. They also explore what it takes to drive AI adoption across an entire organization, the importance of neutral standards, global perspectives on agentic AI, and how humans can find the right balance between what they delegate to AI and what they do themselves.
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