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Practical AI

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PodcastPractical AI

Abundant Intelligence at the Midwest AI Summit

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.Featuring: Heidi Porter – LinkedInKevin Solorio – LinkedInChris Shinkle – LinkedInAndrew Dunlap – LinkedInDaniel Whitenack – Website, GitHub, XLinks:Moyer Group AISEPFocusedSponsors:Hostinger: Create your website today.

29 Oct share.transistor.fm

PodcastPractical AI

Exploit Development, Agentic Vulnerability Discovery, and Fake PoCs

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.Featuring: Spencer McIntyre – LinkedInDaniel Whitenack – Website, GitHub, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks:VulnCheckGo Exploit frameworkInitial Access IntelligenceSponsors:Hostinger: Create your website today.

22 Oct share.transistor.fm

PodcastPractical AI

Education is Failing our Students in this AI-Driven World

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.Featuring: Daniel Whitenack – Website, GitHub, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XSponsors:SerpAPI: A Web Search API that gives developers real-time, structured access to search engine results. Visit serpapi.com/practicalai to get started for free and get 250 searches every month.

15 Oct share.transistor.fm

PodcastPractical AI

Narrative intelligence and the human advantage

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.Featuring: Reed Frerichs – Website, LinkedIn, InstagramDaniel Whitenack – Website, GitHub, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks:Inner Story Series (YouTube)Inner Story Series (Spotify)Inner Story Essays (Substack)Inner Story (Website)Inner Story (Instagram)EverspaceThe LessonSponsors:Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiPrediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiResources and Events:Register for upcoming webinars here!Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026

8 Oct share.transistor.fm

PodcastPractical AI

Open models and the future of Physical AI with NVIDIA

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.Featuring: Ming-Yu Liu – LinkedInDaniel Whitenack – Website, GitHub, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks:NVIDIA CosmosSponsors:Midwest 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/practicalaiResources and Events:Register for upcoming webinars here!Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026

1 Oct share.transistor.fm

PodcastPractical AI

From AGENTS.md to Enterprise Deployment

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.Featuring: Nick Kuhn – LinkedInDaniel Whitenack – Website, GitHub, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XSponsors:Midwest 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.

24 Sept share.transistor.fm

PodcastPractical AI

How to get discovered in AI search

In a Practical AI podcast episode, Liam Dunne and Ben Moore from Discovered Labs discuss how AI search is changing how people discover information. They explore the shift from traditional search engine optimization to AI search, what happens behind the scenes when large language models generate answers, and why appearing only in source citations isn't enough. They explain concepts like AI visibility, Reddit strategy, and how AI models represent information in their weights. They also look ahead to a future where AI agents don't just find websites but can interact with them and take actions on behalf of users.

17 Sept share.transistor.fm

PodcastPractical AI

Computer-Use Agents and the Future of the Agentic Internet

In the podcast, Demetrios Brinkmann and Chris Benson discuss how AI agents are becoming increasingly skilled at using computers and interacting with software to perform tasks on behalf of users. They cover topics including MCP (the standard that connects AI models to tools), agent harnesses (frameworks that govern how agents function), and how agents can communicate with each other. They also discuss how these tools are already automating everyday tasks, the challenges of implementing them in enterprises, and how the relationship between AI models and agent harnesses is evolving.

10 Sept share.transistor.fm

PodcastPractical AI

Less about Models; More about Architecture

In the podcast, Chetan Gupta, Chief AI Officer at Rackspace, discusses how companies should approach moving from experimenting with AI to deploying it in production. The key message is that organizations often focus too much on which AI models they choose and too little on how they build the architecture around them — how systems actually fit together. Gupta raises questions about AI governance, ensuring that AI complies with regulations, and where data is stored and processed.

3 Sept share.transistor.fm

PodcastPractical AI

Building the Foundation for the Agentic AI Era

Angie Jones, VP of Agentic AI Foundation, discusses building an ecosystem where AI agents—autonomous AI systems capable of performing tasks—along with tools and systems can collaborate at scale. She discusses open standards such as MCP (Model Context Protocol) and A2A that aim to enable different AI systems to work together. The segment also covers how organizations can increase AI usage among employees, the importance of neutral standards, how AI adoption looks globally, and how people can decide what to delegate to AI and what to do themselves.

28 Aug share.transistor.fm

PodcastPractical AI

AI Proficiency: From Users to Builders

The podcast discusses how organizations should think about AI competence at different levels within their teams, from beginners to advanced builders. Mike Lewis from TiER1 Performance presents a framework (L0–L3) for how companies can help employees work with AI without simply forcing adoption. The conversation focuses on identifying the right people to build AI solutions, converting experience into actual processes, and finding real business value from AI investments.

25 Aug share.transistor.fm

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