Hosted by SoyPete Tech · 🇺🇸 US · EN · 9 episodes
Established thought leaders with verified media credentials.
Domesticating AI is a bi-weekly podcast about practical AI for developers. We cover self-hosted models, local AI, homelabs, hardware, agents, security, and reliability so software engineers can build - Miriah Peterson: Software engineer, Go educator, and community builder focused on *production-first* AI. Runs SoyPete Tech (streams + writing + open-source).- Matt Sharp: AI Engineer/Strategist, co-author of *LLMs in Production*, MLOps practitioner. Writes **The Data Pioneer**.- Chris Brousseau: NLP practitioner, co-author of LLMs in Production, VP of AI at VEOX. You can find him as IMJONEZZ
SoyPete Tech hosts Domesticating AI, a technology show with 9 episodes published.
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, they start running in
Show notesAI 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 systems yourself. Reco
Show notesRecorded: April 14, 2026 Most 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 of Domesticatin
Show notesHosts: Miriah Peterson, Matt Sharp, Chris Brousseau Recorded: April 2026 Status: Released Most AI systems today are designed to be helpful — not secure. In this episode, we break down how AI systems actually get exploite
Show notesAI 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 using AI to build so
Show notesRecording Date: February 27, 2026 Hosts: Miriah Peterson, Matt Sharp, Chris Brousseau Running AI locally is easier than ever. Running it securely is another story. In this episode of Domesticating AI, we break down the m
Show notes📅 Recorded: February 6, 2026 In 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 constrained hardwa
Show notesEpisode 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 (model loading, KV cache
Show notesEveryone 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 + fine-tuning) vs wha
Show notesDomesticating AI — S01E01: Your First AI at Home Hosts: Miriah Peterson, Matt Sharp, Chris Brousseau This episode is your practical on-ramp to running AI at home: why inference engines matter, what to install first, and
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Domesticating AI is hosted by SoyPete Tech. The show is categorised under technology and has published 9 episodes.
Domesticating AI has published 9 episodes.
Domesticating AI regularly covers technology. It sits in the technology category.
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Episodes of Domesticating AI average 39 minutes. a focused format where a clear narrative arc and tight preparation matter most.
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