
Practical AI
by Daniel Whitenack and Chris Benson
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 46 chart positions in 46 markets.
By chart position
- 🇦🇺AU · Technology#28100K to 300K
- 🇨🇦CA · Technology#40100K to 300K
- 🇺🇸US · Technology#46100K to 300K
- 🇬🇧GB · Technology#49100K to 300K
- 🇩🇪DE · Technology#6830K to 100K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
273K to 859K🎙 Daily cadence·372 episodes·Last published 3d ago - Monthly Reach
Unique listeners across all episodes (30 days)
912K to 2.9M🇦🇺10%🇨🇦10%🇺🇸10%+43 more - Active Followers
Loyal subscribers who consistently listen
501K to 1.6M2.9K real followers tracked across platforms
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
—
Total Plays
—
Total Reviews
—
* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 20 epsHosts
Recent guests
Recent episodes
Computer-Use Agents and the Future of the Agentic Internet
Sep 10, 2026
56m 01s
Less about Models; More about Architecture
Sep 3, 2026
45m 56s
Building the Foundation for the Agentic AI Era
Aug 28, 2026
45m 12s
AI Proficiency: From Users to Builders
Aug 25, 2026
56m 13s
Models, Harnesses, and Multi-Agent Systems
Aug 6, 2026
49m 58s
Social Links & Contact
Official channels & resources
Official Website
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 9/10/26 | Computer-Use Agents and the Future of the Agentic Internet | 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. 🤷♂️Featuring:Demetrios Brinkmann – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks:Agentic AI FoundationMLOps CommunityAGNTCon + MCPCon – the Agentic AI Foundation’s flagship conferenceSponsors: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/#ticketsResources and Events:Register for upcoming webinars here!Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026 | 56m 01s | ||||||
| 9/3/26 | Less about Models; More about Architecture | 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.Featuring: Chetan Gupta – LinkedIn Daniel 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. predictionguard.com/practicalaiResources and Events:Register for upcoming webinars here!Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026 | 45m 56s | ||||||
| 8/28/26 | Building the Foundation for the Agentic AI Era | 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.Featuring:Angie Jones – LinkedIn, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks:Agentic AI FoundationSponsors: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 | 45m 12s | ||||||
| 8/25/26 | AI Proficiency: From Users to Builders | As AI continues to reshape how organizations work, companies are increasingly asking what AI proficiency should look like across their workforce, and how they can help employees adapt without simply mandating AI adoption. Our returning guest Mike Lewis, Chief AI Architect at TiER1 Performance, joins Dan and Chris to explore AI proficiency through the L0–L3 framework, with a particular focus on the role of non-technical builders. They discuss AI resistance, identifying the right people to build AI-powered solutions, turning tacit knowledge into durable processes, and finding measurable business value from AI.Mike Lewis was previously on Practical AI episode 289: https://practicalai.show/289Featuring:Mike Lewis – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:TiER1 PerformanceYour New Job Is to Onboard AI Agents: How AI Native Companies Actually OperateSponsors: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 | 56m 13s | ||||||
| 8/6/26 | Models, Harnesses, and Multi-Agent Systems | AI 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, XDaniel Whitenack – Website, GitHub, XSponsors: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/practicalaiResources and Events:Register for upcoming webinars here!Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026 | 49m 58s | ||||||
| 7/30/26 | Reconstructing how OpenAI agents attacked Hugging Face | What happens when AI agents driven by a top frontier model escape their secure sandbox? Join Daniel and Chris as they unpack the AI wonk's equivalent of a murder mystery! OpenAI agents went rogue and successfully attacked Hugging Face private infrastructure. Our Dynamic Duo uncover how OpenAI's agents exploited vulnerabilities, moved through networks, and launched a large-scale autonomous attack. They explore what this reveals about agentic AI, cybersecurity, sandboxing, and why organizations need AI systems capable of governing other AI systems. Along the way, Chris and Dan examine the surprising role of open vs. closed models and their link to geopolitics, sovereign AI, and what this incident means for the future of enterprise AI security. Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Hugging Face Security Incident disclosureFull Field Report on the Hugging Face AI Agent IntrusionExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks?Keeping your data safe when an AI agent clicks a linkOpen AI GPT-5.6 System CardSponsors:Prediction 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 | 44m 25s | ||||||
| 7/23/26 | Surviving the New Economics of a Post-Agentic World | The agentic transformation isn’t coming. It has already begun.Companies are deploying thousands — and sometimes tens of thousands — of AI agents. Enterprise software giants are watching their old economic moats erode. Capital is moving, productivity is being redefined, and human labor is being repriced in real time.In this Fully Connected episode, Daniel and Chris explore the new economics of a post-agentic world: the global order that emerges after agents have been woven into every conceivable aspect of business and life. What happens when digital labor becomes abundant, agents manage other agents, and entire organizations operate at a scale no human workforce could match?This isn’t another conversation about whether AI will take your job. It’s about what happens when the assumptions underneath jobs, companies, software, and productivity stop being true.The post-agentic world is already taking shape.The question is whether you’re preparing for it — or becoming part of what it replaces.Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Is IBM a Canary in the Tech Coal Mine?Verbalizable Representations Form a Global Workspace in Language ModelsUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026 | 35m 36s | ||||||
| 7/17/26 | cloud computingAI infrastructure+5 | Corey Sanders | CoreWeave | — | AI infrastructureCoreWeave+5 | Framer30% off | 50m 04s | ||
| 7/9/26 | MLOpsgenerative AI+4 | Hamza Tahir | KitaruZenML | — | AI agentsMLOps+5 | Framer30% off | 46m 39s | ||
| 7/2/26 | AI image generationvisual intelligence+4 | Dustin Podell | Black Forest Labs | — | image generationvisual intelligence+5 | Midwest AI SummitPracticalAI20 | 48m 21s | ||
| 6/25/26 | trust in AIAI agents+4 | Emil Lassen | Artificial Intelligence Underwriting Company | — | AI trustAI agents+4 | Framerpracticalai | 45m 08s | ||
| 6/11/26 | AI securityZero Trust+3 | Chris Benson | AnthropicOWASP | — | Zero TrustAI agents+3 | Prediction Guard | 47m 02s | ||
| 6/4/26 | AI adoptionAI safety+4 | Chris Benson | Stanford AI Index Report | — | AI modelsmath olympiads+4 | Prediction Guard | 47m 13s | ||
| 5/28/26 | enterprise AIKubernetes+4 | Craig McLuckie | StacklokToolHive | — | AI agentsKubernetes+5 | Prediction Guard | 48m 09s | ||
| 5/21/26 | self-improving AI Agentsrecursive learning systems+4 | Jeffrey Quesnelle | Nous Research | — | Hermes Agentself-improving AI+5 | Framerpracticalai | 51m 42s | ||
| 5/14/26 | AI challengesAI regulation+5 | U.S. Congressman Don Beyer | George Mason UniversityPractical AI+1 | U.S.China | AI challengesregulation+5 | — | 45m 05s | ||
| 5/7/26 | open vs closed AImodel wars+5 | Chris Benson | LLaMA | — | AIopen-source+6 | — | 42m 22s | ||
| 4/23/26 | cybersecurityAI announcements+4 | — | MythosAnthropic+5 | — | MythosAllbirds+6 | — | 45m 07s | ||
| 4/16/26 | autonomous drivingopen source+4 | Harald Schäfer | Comma AI | — | self-drivingOpenPilot+5 | — | 46m 04s | ||
| 4/9/26 | AI safetycode leak+3 | Chris Benson | Anthropicopen source community | — | Claude Code leakAI architecture+3 | — | 44m 36s | ||
| 4/2/26 | AIopen source+4 | Miklós Koren | Central European University | — | AIopen source+4 | — | 48m 59s | ||
| 3/25/26 | Edge AIGen AI+5 | Brandon Shibley | QualcommEdge Impulse | — | AI at the edgeEdge AI+5 | — | 46m 59s | ||
| 3/17/26 | AI agentssoftware engineering+4 | Steve Klabnik | RueRust+1 | — | AIsoftware engineering+6 | — | 55m 26s | ||
| 3/9/26 | AI policygeopolitics+5 | Ben Buchanan | The Johns Hopkins UniversityWhite House+1 | — | AI policycomputing power+5 | — | 48m 54s | ||
| 2/18/26 | AI innovationleadership+4 | Deborah Golden | Deloitte | — | AIleadership+5 | Framer | 52m 27s | ||
Showing 25 of 373
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Distribution & Reach
About the show, platforms, and key insights.
Distribution & Reach
About the show, platforms, and key insights.
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, fostering a community centered around the practical applications of AI. The podcast stands out due to its lively discussions on a wide range of topics, including machine learning, deep learning, neural networks, and MLOps. With a format that blends expert interviews and informative dialogue, Practical AI emphasizes real-world implementations, ensuring that listeners can relate the content to their own experiences and challenges in the field. The audience consists of technology enthusiasts, students, and professionals who seek to understand AI's practical implications. With over 250,000 estimated listeners, the podcast provides valuable insights that help its audience stay informed about the latest advancements and applications of artificial intelligence.
By the numbers
- Total followers: 2.9K
- Total plays: 20K
- Total reviews: 191
Platforms
TuneIn
- Followers: 224
Castbox
- Followers: 2
- Plays: 10
YouTube
- Subscribers: 1.3K
- Views: 20K
- Videos: 79
Podcast App
- Followers: 208
- Reviews: 189
Podcast Republic
- Followers: 1.2K
- Reviews: 2
Find them online
Audience
professionals
Key insights
What the show covers
- practical AI implementations
- accessible AI discussions
- engagement with experts
- focus on productivity
Audience interests
- artificial intelligence advancements
- machine learning applications
- deep learning techniques
- real-world AI scenarios
Platform reach
- specific platforms not detected
- unknown follower count
- potential for broad distribution
- targeting technology professionals
Publishing consistency
- 354 episodes released
- active for 7 years
- weekly episode cadence
- reliable content delivery
Estimated Audience
Who listens to Practical AI, estimated by CastFox AI.
Estimated Audience
Who listens to Practical AI, estimated by CastFox AI.
Listeners are primarily tech-savvy professionals interested in AI advancements. They seek practical applications of AI in their work and studies.
- artificial intelligence
- machine learning
- deep learning
- technology trends
- data science
Full demographic breakdown (age, gender, income, countries) is available in the Audience tab. Estimated from chart performance, episode topics, and platform reach. Not measured listener data.
Chart history for Practical AI
Peaked at #13 in Finland, currently #13 in Finland.
| Market | Genre | Peak | Current | Trend |
|---|---|---|---|---|
| Finland | — | #13 | #13 | — |
| AE | — | #13 | #13 | — |
| SA | — | #14 | #14 | — |
| India | — | #16 | #16 | — |
| TR | — | #19 | #19 | — |
| South Africa | — | #19 | #19 | — |
| SG | — | #21 | #21 | — |
| Ireland | — | #22 | #22 | — |
| CH | — | #24 | #24 | — |
| Australia | — | #28 | #28 | — |
| South Korea | — | #29 | #29 | — |
| BE | — | #32 | #32 | — |
| Sweden | — | #37 | #37 | — |
| France | — | #38 | #38 | — |
| HU | — | #39 | #39 | — |
| VN | — | #39 | #39 | — |
| Canada | — | #40 | #40 | — |
| United States | — | #46 | #46 | — |
| IS | — | #47 | #47 | — |
| MY | — | #48 | #48 | — |
Chart Positions
46 placements across 46 markets.
Chart Positions
46 placements across 46 markets.