
Practical AI
by Practical AI LLC
Is this your podcast?Practical AI LLC is an independent podcast creator known for its focus on demystifying artificial intelligence and making it accessible to a broad audience. The host engages with technology professionals, business leaders, and enthusiasts, …
Insights from recent episode analysis
Audience Interest
- artificial intelligence advancements
- machine learning applications
Podcast Focus
- practical AI implementations
- accessible AI discussions
Publishing Consistency
- 354 episodes released
- active for 7 years
Platform Reach
- specific platforms not detected
- unknown follower count
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Total monthly reach
Estimated from 45 chart positions in 45 markets.
By chart position
- 🇦🇺AU · Technology#30100K to 300K
- 🇬🇧GB · Technology#33100K to 300K
- 🇨🇦CA · Technology#46100K to 300K
- 🇺🇸US · Technology#5230K to 100K
- 🇩🇪DE · Technology#1635K to 30K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
366K to 1.1M🎙 ~2x weekly·354 episodes·Last published yesterday - Monthly Reach
Unique listeners across all episodes (30 days)
732K to 2.3M🇦🇺13%🇬🇧13%🇨🇦13%+42 more - Active Followers
Loyal subscribers who consistently listen
293K to 920K9.5K real followers tracked across platforms
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
—
Total Plays
—
Total Reviews
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 11 epsHosts
Recent guests
Recent episodes
Zero Trust for AI Agents
Jun 11, 2026
47m 02s
Breaking down the 2026 Stanford AI Index Report
Jun 4, 2026
47m 13s
Rebooting Enterprise AI with MCP and Kubernetes
May 28, 2026
48m 09s
Hermes Agent: Agents that grow with you
May 21, 2026
51m 42s
U.S. Congressman Beyer on AI challenges facing America and the World
May 14, 2026
45m 05s
Social Links & Contact
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Official Website
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 6/11/26 | ![]() Zero Trust for AI Agents | As AI agents become more capable and autonomous, they also introduce new security challenges. In this 'Fully Connected' episode, Dan and Chris unpack Anthropic’s Zero Trust for AI Agents security framework and what it means for organizations deploying agentic systems. They examine the key security risks facing agentic systems and discuss how organizations can apply Zero Trust principles to deploy AI agents safely. Along the way, they break down practical security controls and discuss how traditional cybersecurity principles must evolve for the age of AI agents.Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks: Zero Trust for AI AgentsOWASP GenAI Project Sponsors:Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026 | 47m 02s | ||||||
| 6/4/26 | ![]() Breaking down the 2026 Stanford AI Index Report | AI models can win math olympiads… but still struggle to read an analog clock. In this fully connected episode, Dan and Chris break down the latest Stanford AI Index Report and explore what it reveals about the current state of AI. They discuss AI adoption and safety, disappearing junior tech jobs, robotics, AI’s “jagged frontier” of intelligence, and the growing race between the U.S. and China. Along the way, they debate whether AI should optimize everything, or if some things are better left human. Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:The 2026 AI Index ReportSponsors:Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026 | 47m 13s | ||||||
| 5/28/26 | ![]() Rebooting Enterprise AI with MCP and Kubernetes | 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 – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:StacklokToolhiveSponsors:Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026 | 48m 09s | ||||||
| 5/21/26 | ![]() Hermes Agent: Agents that grow with you | 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 capabilities continue to accelerate?Featuring:Jeffrey Quesnelle – Website, LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Nous ResearchHermes AgentSponsors: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/practicalaiUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026 | 51m 42s | ||||||
| 5/14/26 | ![]() U.S. Congressman Beyer on AI challenges facing America and the World | 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, Congressman Beyer and Chris explore AI regulation, cybersecurity concerns sparked by advanced models like Mythos, bipartisan AI governance efforts, and the growing AI race between the U.S. and China. They fearlessly dived headfirst into AI-driven job displacement, mass surveillance, autonomous weapons, existential risk, and the philosophical questions surrounding consciousness and superintelligence as AI continues to accelerate. This is an unusual and insightful conversation you don't want to miss!Congressman Beyer was previously on Practical AI episode 271 on May 29, 2024:AI in the U.S. CongressFeaturing:Congressman Don Beyer – Congress, LinkedIn, Bluesky, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026 | 45m 05s | ||||||
| 5/7/26 | ![]() The Myth of Model Wars: Open vs Closed AI in 2026✨ | open vs closed AImodel wars+5 | Chris Benson | LLaMA | — | AIopen-source+6 | — | 42m 22s | |
| 4/23/26 | ![]() The mythos of Mythos and Allbirds takes flight to the neocloud✨ | cybersecurityAI announcements+4 | — | MythosAnthropic+5 | — | MythosAllbirds+6 | — | 45m 07s | |
| 4/16/26 | ![]() Open Source Self-Driving with Comma AI✨ | autonomous drivingopen source+4 | Harald Schäfer | Comma AI | — | self-drivingOpenPilot+5 | — | 46m 04s | |
| 4/9/26 | ![]() Post-Mortem of Anthropic's Claude Code Leak✨ | AI safetycode leak+3 | Chris Benson | Anthropicopen source community | — | Claude Code leakAI architecture+3 | — | 44m 36s | |
| 4/2/26 | ![]() Agentic Coding and the Economics of Open Source✨ | AIopen source+4 | Miklós Koren | Central European University | — | AIopen source+4 | — | 48m 59s | |
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| 3/25/26 | ![]() AI at the Edge is a different operating environment✨ | Edge AIGen AI+5 | Brandon Shibley | QualcommEdge Impulse | — | AI at the edgeEdge AI+5 | — | 46m 59s | |
| 3/17/26 | ![]() Humility in the Age of Agentic Coding✨ | AI agentssoftware engineering+4 | Steve Klabnik | RueRust+1 | — | AIsoftware engineering+6 | — | 55m 26s | |
| 3/9/26 | ![]() AI policy and the battle for computing power✨ | AI policygeopolitics+5 | Ben Buchanan | The Johns Hopkins UniversityWhite House+1 | — | AI policycomputing power+5 | — | 48m 54s | |
| 2/18/26 | ![]() Cognitive Synthesis and Neural Athletes✨ | AI innovationleadership+4 | Deborah Golden | Deloitte | — | AIleadership+5 | Framer | 52m 27s | |
| 2/13/26 | ![]() AI incidents, audits, and the limits of benchmarks✨ | AI safetyverification+4 | Sean McGregor | AI Verification & Evaluation Research InstituteAI Incident Database | — | AI incidentsaudits+5 | — | 42m 52s | |
| 2/2/26 | ![]() Inside an AI-Run Company✨ | AI agentsworkplace+4 | Evan Ratliff | Shell Game | — | AIagents+5 | — | 49m 23s | |
| 1/27/26 | ![]() How is AI shaping democracy? | As AI increasingly shapes geopolitics, elections, and civic life, its impact on democracy is becoming impossible to ignore. In this episode, Daniel and Chris are joined by security expert Bruce Schneier to explore how AI and technology are transforming democracy, governance, and citizenship. Drawing from his book Rewiring Democracy, they explore real examples of AI in elections, legislation, courts, and public AI models, the risks of concentrated power, and how these tools can both strengthen and strain democratic systems worldwide.Featuring:Bruce Schneier – XChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks: Schneier on SecuritySponsors:Framer - The website builder that turns your dot com from a formality into a tool for growth. Check it out at framer.com/PRACTICALAIZapier - The AI orchestration platform that puts AI to work across your company. Check it out at zapier.com/practicalUpcoming Events: Register for upcoming webinars here! | 48m 23s | ||||||
| 1/20/26 | ![]() Controlling AI Models from the Inside | As generative AI moves into production, traditional guardrails and input/output filters can prove too slow, too expensive, and/or too limited. In this episode, Alizishaan Khatri of Wrynx joins Daniel and Chris to explore a fundamentally different approach to AI safety and interpretability. They unpack the limits of today’s black-box defenses, the role of interpretability, and how model-native, runtime signals can enable safer AI systems. Featuring:Alizishaan Khatri – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XUpcoming Events: Register for upcoming webinars here! | 43m 55s | ||||||
| 1/9/26 | ![]() 2025 was the year of agents, what's coming in 2026? | In this start-of-year FC episode, Chris and Daniel break down what really mattered in AI in 2025, and what to expect in 2026. They explore the rise of AI agents, the practical reality of multimodal AI, and how reasoning models are reshaping workflows. The conversation dives into infrastructure and energy constraints, the continued value of predictive models, and why orchestration (not just better models) is becoming the defining skill for AI teams. The episode wraps with grounded 2026 predictions on where AI systems, tooling, and builders are headed next.Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XSponsor:Framer - The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiUpcoming Events: Register for upcoming webinars here! | 51m 15s | ||||||
| 12/17/25 | ![]() Beyond chatbots: Agents that tackle your SOPs | As AI reshapes the workplace, employees and leaders face questions about meaningful work, automation, and human impact. In this episode, Jason Beutler, CEO of RoboSource, shares how companies can rethink workflows, integrate AI in accessible ways, and empower employees without fear. The discussion covers leveraging AI to handle routine tasks (SOPs or "plays") and reimagining work for smarter, more human-centered outcomes.Featuring:Jason Beutler – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XSponsor:Framer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at framer.com/design with code `PRACTICALAI` for a free month of Framer Pro.Upcoming Events: Register for upcoming webinars here! | 45m 53s | ||||||
| 12/10/25 | ![]() The AI engineer skills gap | Chris and Daniel talk with returning guest, Ramin Mohammadi, about how those seeking to get into AI Engineer/ Data Science jobs are expected to come in a mid level engineers (not entry level). They explore this growing gap along with what should (or could) be done in academia to focus on real world skills vs. theoretical knowledge. Featuring:Ramin Mohammadi – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XSponsors:Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiUpcoming Events: Register for upcoming webinars here! | 45m 33s | ||||||
| 12/2/25 | ![]() Technical advances in document understanding | Chris and Daniel unpack how AI-driven document processing has rapidly evolved well beyond traditional OCR with many technical advances that fly under the radar. They explore the progression from document structure models to language-vision models, all the way to the newest innovations like Deepseek-OCR. The discussion highlights the pros and cons of these various approaches focusing on practical implementation and usage.Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XSponsors:Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiFabi.ai - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at fabi.aiFramer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at framer.com/design with code `PRACTICALAI` for a free month of Framer Pro.Upcoming Events: Register for upcoming webinars here! | 49m 18s | ||||||
| 11/26/25 | ![]() Chris on AI, autonomous swarming, home automation and Rust! | This episode is a special crossover between the Practical AI podcast and The Changelog podcast. Chris was recently invited by longtime friends Jerod Santo and Adam Stacoviak, cohosts of The Changelog, to join them on the show. They discuss AI, drones, robotics, swarming technology, and the rise of high-performance edge computing with Rust. Chris points out that open source software, small AI models, and affordable hardware are making home automation and local AI accessible to everyone. From automating household functions to experimenting with drones and single-board computers, Chris describes how hands-on maker projects are shaping a bright future for physical AI, on small budgets and right from the comfort of your own home.Featuring: Jerod Santo – LinkedInAdam Stacoviak – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XSponsors: Miro – Get the right things done faster with Miro's Innovation Workspace. AI Sidekicks, instant insights, and rapid prototyping—transform weeks of work into days. No more scattered docs or endless meetings. Help your teams get great done at Miro.com.Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiUpcoming Events: Register for upcoming webinars here!This week we have extended show notes below from Chris!Swarming & Fully Autonomous Multi-Agent UxV SystemsChris’s Definition of Swarming (anchor link in show notes)Chris’s definition of Swarming“Swarming occurs when numerous independent fully-autonomous multi-agentic platforms exhibit highly-coordinated locomotive and emergent behaviors with agency and self-governance in any domain (air, ground, sea, undersea, space), functioning as a single independent logical distributed decentralized decisioning entity for purposes of C3 (command, control, communications) with human operators on-the-loop, to implement actions that achieve strategic, tactical, or operational effects in the furtherance of a mission.”© 2025 Chris BensonConceptual FoundationsSwarm Robotics – WikipediaHigh-level overview of swarm robotics as decentralized robot collectives.https://en.wikipedia.org/wiki/Swarm_roboticsSwarm Robotic Platforms – WikipediaSurvey of hardware platforms used in swarm robotics research.https://en.wikipedia.org/wiki/Swarm_robotic_platformsSwarm Intelligence – WikipediaBroader algorithms and theory behind collective intelligence (beyond robots).https://en.wikipedia.org/wiki/Swarm_intelligenceAnt Robotics – WikipediaNature-inspired “ant-like” robotics as a special case of swarm robotics.https://en.wikipedia.org/wiki/Ant_roboticsOpen Research & Multi-Robot Resources (Stepping-Stones Toward True Swarms)Programming Multiple Robots with ROS 2 (online book)Free book on multi-robot systems, ROS 2, and the Robot Middleware Framework (RMF).https://osrf.github.io/ros2multirobotbookSimulation with ROS 2 & Gazebo (ROS 2 Humble tutorial)Official tutorial on connecting ROS 2 to Gazebo simulation.https://docs.ros.org/en/humble/Tutorials/Advanced/Simulators/Gazebo/Gazebo.htmlSpawning Multiple Robots in Gazebo with ROS 2Hands-on tutorial to launch N robots in Gazebo, each with its own namespace.https://www.theconstruct.ai/spawning-multiple-robots-in-gazebo-with-ros2ROS 2 Multi-Robot Simulation Best Practices (Discourse thread)Discussion of patterns for multi-robot systems (domains, namespaces, Nav2, etc.).https://discourse.openrobotics.org/t/multi-robot-simulation-best-practices/38987Getting Hands-On: Consumer Robotics, ROS 2 & GazeboROS 2 (Robot Operating System 2)Official ROS 2 Documentation – Humble (LTS)Main docs for ROS 2 Humble (recommended distro) with tutorials and APIs.https://docs.ros.org/en/humbleROS 2 Installation Guide (Humble)Step-by-step install on supported platforms.https://docs.ros.org/en/humble/Installation.html“From Zero to Robotics Hero: A Beginner’s Guide to ROS 2” (article)Beginner-friendly overview with ideas for where to go next (MoveIt, Nav2, multi-robot, etc.).https://riyagoja.medium.com/from-zero-to-robotics-hero-a-beginners-guide-to-ros-2-90ac9c3b87baROS 2 Tutorial for Beginners (2025 guide)Up-to-date intro that walks you from install to simulating your first robot in 2025.https://www.timesofexplore.com/2025/10/ros2-tutorial-beginners-build-first-robot-2025.htmlGazebo SimulationGazebo Sim – Official SiteModern Gazebo (Ignition) simulator; models, worlds, and docs.https://gazebosim.orgGetting Started with Gazebo (Docs)Official “start here” guide for using Gazebo and Gazebo Fuel assets.https://gazebosim.org/docs/latest/getstartedClassic Gazebo Tutorials (still useful for fundamentals)https://classic.gazebosim.org/tutorialsmicro-ROS (ROS 2 on Microcontrollers)micro-ROS – ROS 2 for MicrocontrollersOfficial site for running ROS 2 on tiny embedded boards.https://micro.ros.orgmicro-ROS GitHub OrganizationRepositories, examples, and tutor... | 1h 37m 09s | ||||||
| 11/19/25 | ![]() Beyond note-taking with Fireflies | Fireflies CEO, Krish Ramineni shares how the company is transforming AI-powered note-taking into a deeper layer of knowledge automation. He breaks down the technology behind real-time functionality like Live Assist, the user behavior patterns driving product evolution, and how Fireflies is innovating far beyond meetings. Krish also shares insights on future trends in AI and the potential for hardware integration, emphasizing the ongoing evolution of AI in knowledge work.Featuring:Krish Ramineni – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Fireflies AISponsors:Miro – Get the right things done faster with Miro's Innovation Workspace. AI Sidekicks, instant insights, and rapid prototyping—transform weeks of work into days. No more scattered docs or endless meetings. Help your teams get great done at Miro.com.Framer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at framer.com/design with code `PRACTICALAI` for a free month of Framer Pro.Upcoming Events: Register for upcoming webinars here! | 48m 59s | ||||||
| 11/13/25 | ![]() Autonomous Vehicle Research at Waymo | Waymo’s VP of Research, Drago Anguelov, joins Practical AI to explore how advances in autonomy, vision models, and large-scale testing are shaping the future of driverless technology. The conversation dives into the dual challenges of building an onboard driver and testing that driver (via large scale simulation). Drago also gives us an update on what Waymo is doing to achieve intelligent, real-time performance while ensuring proven safety and reliability.Featuring:Drago Anguelov – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Waymo ResearchNew Insights for Scaling Laws in Autonomous DrivingAI in MotionSponsors: Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at AGNTCY.org.Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiFabi.ai - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at fabi.aiUpcoming Events: Register for upcoming webinars here! | 52m 08s | ||||||
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45 placements across 45 markets.
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45 placements across 45 markets.

























