
Hands-On AI explores and explains artificial intelligence — and shows you how to actually use it. Because AI is exactly that: a tool, and like any tool, what matters is what you do with it. In short, focused episodes, Mikah Sargent takes you inside the technology reshaping how we work, create, and communicate. Learn what's really happening inside a large language model, run AI entirely on your own... more
| Publishes | Weekly | Episodes | 7 | Founded | 2 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||

What happens when AI stops talking and starts doing? Mikah Sargent puts Meta's Muse agent to work on simple jobs, hard ones, and a couple of weird ones: a weekly news brief, a day trip, a shopping cart that stops for his approval, a web page it build... more
What's actually inside an AI model? Mikah Sargent opens up the file from last week's episode and finds tokens, billions of numbers, and one surprisingly simple job: guess the next piece of text. Along the way, he shows why the same question can get a... more
Your next chatbot doesn't need the cloud. Mikah Sargent installs a free app, downloads an AI model, turns off the Wi-Fi, and keeps right on chatting, all on an ordinary computer. Along the way, he explains how to read a model listing, including what ... more
Hands-On AI is the show that turns AI confusion into AI confidence. In this introductory episode, Mikah Sargent lays out what the show is and isn't: short, focused episodes — most 10 to 15 minutes — that take one question, one tool, or one technique ... more
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How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
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Listeners, social reach, demographics and more for this podcast.
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This show delivers practical, hands-on guidance about artificial intelligence, with a clear emphasis on how to use AI as a tool rather than chase hype. Episodes consistently explore real-world concepts—from how models work under the hood to running AI locally on consumer hardware—paired with concrete demonstrations, setup tutorials, and honest assessments of trade-offs. A standout trait is the focus on approachable, implementation-ready content that helps listeners experiment, test, and apply AI in their own work, projects, or curiosity. The host maintains a calm, no-nonsense tone and frequently invites audience questions, making it accessible for both beginners and experienced technologists seeking practical insights and workflows.
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Hands-On AI launched 2 months ago and published 7 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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