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Recent Episodes
S1E10 Stop Building AI Agents: Build Harnesses Instead | Hamza Tahir (ZenML / Kitaru)
Everyone is building AI agents.OpenAI SDKs, Claude Code, Deep Agent systems, custom workflows, and orchestration frameworks all promise more autonomous AI. But as these systems become more capable,…
S1E7 Self-Hosting AI: Scaling Is the Real Problem
AI is easy to use — but hard to scale.In this episode of Domesticating AI, we’re joined by Daniel Dowler (Red Hat) to break down what actually happens when you move from calling APIs to running AI…
S1E8 You’re Using AI Wrong: Build the System, Not Just the Prompt /w Lexi Pasi
Recorded: April 14, 2026Most people using AI today are still users.They open ChatGPT, call an API, and get an answer.And honestly… it works.But that’s not the same as building with AI.In this episode…
S1E7 Hacking AI: Why Most AI Systems Are Insecure by Default
Hosts: Miriah Peterson, Matt Sharp, Chris BrousseauRecorded: April 2026Status: ReleasedMost AI systems today are designed to be helpful — not secure.In this episode, we break down how AI systems…
S1E6 Coding with AI: Vibe Coding vs Real Engineering (with Tyler Folkman)
AI can write code — but that doesn’t mean you should trust it.In this episode of Domesticating AI, we’re joined by Tyler Folkman (author of The AI Architect) to break down how engineers are actually…
S1E5 Securing Your Homelab: AI Infrastructure, Access Control & Why Docker Isn’t Isolation
Recording Date: February 27, 2026Hosts: Miriah Peterson, Matt Sharp, Chris BrousseauRunning AI locally is easier than ever.Running it securely is another story.In this episode of Domesticating AI, we…
S1E4 Agents Don’t Need More Compute — They Need Better Engineering
📅 Recorded: February 6, 2026In this episode of Domesticating AI, we discuss why scaling AI systems with more compute often hides weak engineering decisions — especially in agent workflows. We explore…
S1E1 Hardware-First Home AI: Chips, Memory, Backends, and What to Buy
Episode 3 is a hardware-first guide to running AI at home. We break down what CPUs vs GPUs vs NPUs vs TPUs actually do in the inference pipeline, why memory capacity isn’t the same as performance…
S1E1 From “Inference Box” to Dev Rig: What NVIDIA DGX Spark Actually Is | Ep 2
Everyone keeps calling NVIDIA DGX Spark an “inference box”… but in practice it behaves more like a dev rig.In Ep 2 of Domesticating AI, we break down what Spark is actually good for (AI development +…
S1E1 Your First AI at Home
Domesticating AI — S01E01: Your First AI at HomeHosts: Miriah Peterson, Matt Sharp, Chris BrousseauThis episode is your practical on-ramp to running AI at home: why inference engines matter, what to…
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Domesticating AI has published 10 episodes since January 2026, covering topics in Technology.
Domesticating AI is currently highly active with new episodes every 2 weeks. Average episode length is 39m.
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