Episode Details

Every time a new frontier model drops, we waste hours rebuilding our prompts, workflows, and context windows from scratch. It’s time to stop starting over—meet Nami, the free, open-source workspace that lets you plug multiple models into a single "AI OS" folder right on your local machine.

In this episode, we’re breaking down why tying your business to one specific LLM is a massive risk, and how to future-proof your workflow. By centralizing your files, brand assets, and skills, you can point models like GPT-6 Astra, Claude Fable 5.1, and Grok at the exact same task and watch them work in parallel without losing context.

We’ll talk about:

• Building your "AI OS" folder: How to centralize your content, thumbnails, and instructions so any model can read them instantly.
• Why brand loyalty to a single AI model is dead, and how to become truly "model-agnostic."
• The Nami open-source framework and how to run simultaneous agent sessions (like Kimi and Codex) on the exact same project file.
• The shift toward local, multi-agent orchestration where the AI model is just an interchangeable plugin, not the entire platform.

Keywords: Nami workspace, AI OS folder, model-agnostic workflows, GPT-6 Astra, Claude Fable 5.1, Codex, Grok, Kimi, local AI agents, AI coding agents, multi-agent orchestration, open-source AI, AI productivity.

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