Practical AI is a weekly podcast hosted by Daniel Whitenack and Chris Benson and produced by Practical AI LLC. It launched in July 2018, and episodes typically run 45-50 minutes.
Practical AI is rated 4.3 out of 5 from 199 ratings on Apple Podcasts, as of October 2026.
The show is about making AI practical, productive and accessible, with an emphasis on real-world implementations across ML, MLOps, LLMs and more. It mixes host discussions with guest interviews.
Topics range from new open models to agents to physical AI, usually framed around what it takes to put them to work.
Our take: Practical AI fits practitioners and technical professionals who want grounded, implementation-focused discussion. Its plain framing also makes it approachable if you are newer to the technical side. For more shows like it, see our best AI podcasts for beginners list.
The episodes below show the range: an open model (DeepSeek), an agent project (Hermes Agent) and physical AI with NVIDIA. Each is framed around what it means for people putting AI to work. At 45-50 minutes, one episode fits a typical commute.
The latest episode in the public feed when we checked was dated October 1, 2026.
If you like Practical AI, these shows are worth a listen:
Show details on this page come from the public listings and feeds below, checked on October 4, 2026.
Daniel Whitenack and Chris Benson host Practical AI, produced by Practical AI LLC.
Weekly, with episodes that typically run about 45 to 50 minutes.
Making AI practical, productive and accessible, with an emphasis on real-world implementations across ML, MLOps and LLMs.
On Apple Podcasts, Spotify, YouTube and practicalai.show.
