Practical AI

Daniel Whitenack, Chris Benson

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Booking Overview

Practical AI is a real-world AI show focused on making models and agentic systems productive and accessible. It’s a strong pitch venue for experts who can translate AI capabilities into practical implementation, governance, and developer/business impact.

Metrics

Episodes: 360

Frequency: Weekly

Rating: 4.4/5.0

Estimated listeners: 1k-10k

Gender skew: Male

Location: USA

YouTube: 17.3k subscribers

Instagram: 15.0k followers

Contact Information

editors@changelog.com

For verified host and producer emails, sign up to view.

Host

Daniel Whitenack - AI technologist and podcast co-host for Practical AI, focused on practical implementations of AI systems. (Public details limited in provided episode text; likely an active builder/technical voice.)

Chris Benson - Technology professional and podcast co-host for Practical AI, interviewing and discussing practical AI topics with researchers, leaders, and public figures. (Public details limited in provided epis...

Booking Intelligence

Booking Requirements

medium
Typical Credentials:  
Technology leaders and recognized experts in applied AI (research founders/CTOs, senior engineers/architects, AI governance & policy figures with technical depth). Public officials may qualify if they have credible AI/technical understanding.
Required Achievements:  
Founded or leads an AI company/research lab, Delivered technical breakthroughs in LLM/agentic systems or MLOps, Published influential work in AI engineering or safety/governance, Held prominent public roles involving AI policy or oversight (for public officials)

Recent Guest Discussions

Jeffrey Quesnelle - AI Agents (hermes Agent), Self-improving Agent Systems, Models Vs Harnesses, Developer Role, Open Source AI Era

U.S. Congressman Don Beyer - AI Regulation And Governance, Cybersecurity Risks Tied To Advanced Models, AI Competition And Geopolitical Implications, Job Displacement, Surveillance, Autonomous Weapons, Existential Risk And Philosophy Of AI

Recent Topics

Artificial Intelligence, Machine Learning, Llms, Mlops, Ai Agents

Episodes

Here's the recent few episodes on
Practical AI
:

Rebooting Enterprise AI with MCP and Kubernetes

May 28, 2026

What happens when AI agents start acting less like chatbots and more like coworkers? In this episode, Dan and Chris sit down with Craig McLuckie, CEO of Stacklok to explore MCP, Kubernetes, ToolHive, enterprise AI, and the emerging infrastructure powering AI-native applications. From identity management to agent orchestration and system architecture, this conversation dives into how organizations may soon manage entire fleets of AI agents working behind the scenes.Featuring:Craig McLuckie – L...

Hermes Agent: Agents that grow with you

May 21, 2026

Open Source AI is entering a new era, one shaped by self-improving AI Agents, recursive learning systems, and rapidly evolving AI Tools that blur the line between software and autonomous collaborators. In this episode, Daniel and Chris sit down with Nous Research co-founder and CTO Jeffrey Quesnelle to explore Hermes Agent. Along the way, they discuss models vs. harnesses, the changing role of developers, and one of the biggest questions facing the AI Future: what remains uniquely human as AI...

U.S. Congressman Beyer on AI challenges facing America and the World

May 14, 2026

U.S. Congressman Don Beyer returns to Practical AI for another far-reaching conversation with Chris about many of the most important AI challenges facing America and the world.  Blending political savvy and statesmanship with his unique technical understanding as an active Ph.D student in AI at George Mason University (making him the coolest member of Congress!), the congressman shares his perspective about the really hard AI concerns that you would have asked him yourself.  Together, Congres...

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