
Practical AI
Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussi...
AI overview.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…
Insights from recent episode analysis
On the show
- Chris Benson4 eps
- Harald Schäfer1 ep
- Miklós Koren1 ep
Also: Brandon Shibley, Steve Klabnik, Ben Buchanan, Deborah Golden, Sean McGregor, Evan Ratliff, Craig McLuckie, Jeffrey Quesnelle, U.S. Congressman Don Beyer, Corey Sanders, Hamza Tahir, Dustin Podell, Emil Lassen, Chetan Gupta, Angie Jones, Mike Lewis
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
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Total monthly reach
Based on 3 signals.
Built from
By chart position
- 🇺🇸United States · TechnologyHOME#4814K to 73K
- 🇲🇽Mexico · Technology#133.0K to 16K
- 🇮🇳India · Technology#241.8K to 9.6K
- 🇬🇧United Kingdom · Technology#461.0K to 5.5K
- 🇦🇺Australia · Technology#281.0K to 5.4K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
27K to 141K🎙 ~2x weekly·372 episodes·Last published 2d ago - Monthly Reach
Unique listeners across all episodes (30 days)
53K to 283K🇺🇸52%🇲🇽11%🇮🇳7%+17 more - Active Followers
Loyal subscribers who consistently listen
29K to 156K1.6K real followers tracked across platforms
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
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Total Plays
—
Total Reviews
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 10/22/26 | 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. Go to hostinger.com/practical and use practical for 10 percent off now.Resources and Events:Register for upcoming webinars here!Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026Chris’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. | 45m 13s | ||||||
| 10/15/26 | Is Education 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. Resources and Events:Register for upcoming webinars here!Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026Chris’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. | 43m 51s | ||||||
| 10/8/26 | 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 | 44m 24s | ||||||
| 10/1/26 | 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 | 47m 19s | ||||||
| 9/24/26 | 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. predictionguard.com/practicalaiResources and Events:Register for upcoming webinars here!Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026 | 48m 52s | ||||||
| 9/17/26 | How to get discovered in AI search | 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.Featuring: Liam Dunne – LinkedInBen Moore – LinkedInDaniel Whitenack – Website, GitHub, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks:What AI models know about 1,000 B2B SaaS brands before web searchDiscovered LabsSponsors: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/#ticketsFramer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiResources and Events:Register for upcoming webinars here!Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026 | 55m 14s | ||||||
| 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 | AI architecturemodel deployment+4 | Chetan Gupta | Rackspace | — | AI architectureenterprise AI+4 | Midwest AI SummitPracticalAI20 | 45m 56s | ||
| 8/28/26 | AI ecosystemagentic AI+4 | Angie Jones | Agentic AI Foundation | — | agentic AIAI standards+6 | Framerpracticalai | 45m 12s | ||
| 8/25/26 | AI proficiencyworkforce adaptation+3 | Mike Lewis | TiER1 Performance | — | AI proficiencyworkforce+5 | Midwest AI SummitPracticalAI20 | 56m 13s | ||
| 8/6/26 | AI modelsmulti-agent systems+3 | — | — | — | AI modelsmulti-agent systems+3 | FramerCODE | 49m 58s | ||
| 7/30/26 | AI agentscybersecurity+4 | — | OpenAIHugging Face | — | OpenAIHugging Face+5 | Prediction GuardCODE | 44m 25s | ||
| 7/23/26 | AI agentseconomics+4 | — | IBM | — | AIagents+5 | — | 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 | ||
| 2/13/26 | AI safetyverification+4 | Sean McGregor | AI Verification & Evaluation Research InstituteAI Incident Database | — | AI incidentsaudits+5 | — | 42m 52s | ||
| 2/2/26 | AI agentsworkplace+4 | Evan Ratliff | Shell Game | — | AIagents+5 | — | 49m 23s | ||
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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 Mexico, currently #13 in Mexico.
| Market | Genre | Peak | Current | Trend |
|---|---|---|---|---|
| Mexico | — | #13 | #13 | — |
| IL | — | #15 | #15 | — |
| AE | — | #19 | #19 | — |
| Sweden | — | #23 | #23 | — |
| HU | — | #23 | #23 | — |
| Netherlands | — | #24 | #24 | — |
| CZ | — | #24 | #24 | — |
| India | — | #24 | #24 | — |
| NG | — | #24 | #24 | — |
| TR | — | #25 | #25 | — |
| Australia | — | #28 | #28 | — |
| South Korea | — | #30 | #30 | — |
| TW | — | #34 | #34 | — |
| MY | — | #36 | #36 | — |
| Canada | — | #38 | #38 | — |
| PL | — | #38 | #38 | — |
| AR | — | #41 | #41 | — |
| SG | — | #43 | #43 | — |
| United Kingdom | — | #46 | #46 | — |
| France | — | #47 | #47 | — |
Chart Positions
44 placements across 44 markets.
Chart Positions
44 placements across 44 markets.