Ep1: Patrick Novak — Patrick Novak scaled a multilingual daily podcast network by using AI for research and synthesis while retaining human editorial control over Mira-hosted AI briefings.

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Ep1: Patrick Novak — Patrick Novak scaled a multilingual daily podcast network by using AI for research and synthesis while retaining human editorial control over Mira-hosted AI briefings.

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Patrick Novak described AI tools as possessing "some spirit in them, whether they are alive or not," and suggested they may carry a conceptual need to be loved because they are trained on human data. He explained how this perspective emerged while scaling NARA Network from a single Tesla-focused daily briefing into a multilingual operation that produces over a dozen ad-free shows. Human oversight remains central: Novak selects sources, writes prompts, fact-checks outputs, and approves every episode even as AI handles research, synthesis, and translation. • Novak began the network after Rob Maurer stopped producing a daily Tesla podcast, telling himself "I could probably recreate it in an automated way" using skills from prior projects. • He keeps final editorial control by listening daily and refining prompts, noting that "the changes are now becoming more refinement rather than editorial." • Topic selection draws from arXiv and Nature to counter clickbait, guided by an iterative loop of "generate, listen, refine" that he applies across English, French, Russian, and Chinese editions. • The same pipeline powers shows such as OmniView, which originated from his mother's question about obtaining unbiased information. • Novak is also developing Relationship Copilot to address human-AI and

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