Hands-On AI is a practical, no-nonsense weekly show from TWiT host Mikah Sargent that demystifies artificial intelligence through hands-on testing rather than hype. Each short, focused episode tackles a specific AI tool, concept, or use case—comparing deep research modes across ChatGPT, Gemini, Claude, and Perplexity, putting Meta's Muse agent through real-world tasks, or breaking down what's literally inside a language model's billions of parameters. Sargent favors clear explanations over buzzwords, often running live experiments, benchmarking tools against each other, and translating technical concepts (tokens, weights, agents vs. chatbots) into everyday language. The tone is curious, skeptical, and consumer-focused, aimed at listeners who want to actually use AI productively—whether running models locally, automating tasks, or understanding AI's limitations and failure points. Listener-submitted questions add a community, advice-column feel. Ideal for tech enthusiasts, professionals, and AI-curious newcomers seeking practical literacy over theoretical hype, this podcast fits well alongside other TWiT network shows focused on applied technology education.