# NotebookLM 2.0 is INSANE (FREE!)

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Text version: https://stenobird.com/podcast/ai-news-today-julian-goldie-podcast-7573784/notebooklm-2-0-is-insane-free.md
Podcast: [AI News Today | Julian Goldie Podcast](https://stenobird.com/podcast/ai-news-today-julian-goldie-podcast-7573784)
Published: 2026-05-19T20:35:19+00:00
Episode link: https://podcasters.spotify.com/pod/show/julian-goldie9/episodes/NotebookLM-2-0-is-INSANE-FREE-e3jk2pv
Audio file: https://anchor.fm/s/10b0edd94/podcast/play/120244479/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-4-19%2F424494657-44100-2-ec542448eb096.mp3
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JSON: https://stenobird.com/v1/public/podcasts/ai-news-today-julian-goldie-podcast-7573784/episodes/notebooklm-2-0-is-insane-free
Duration seconds: 1529

## Resource

Build a NotebookLM + Claude Agent OS Dashboard (Goldie Infinite Knowledge Engine) to Auto-Generate Videos, Podcasts & MoreJulian demonstrates a local “Agent OS” dashboard that integrates Claude with Google’s free NotebookLM to manage notebooks in one place, chat with sources, trigger Studio outputs, and automatically pull generated assets—videos, podcasts/audio overviews, slide decks, mind maps, infographics, flashcards, quizzes, briefs, and reports—into an organized gallery. He explains the “Goldie Infinite Knowledge Engine” as a three-layer loop: a knowledge vault (NotebookLM sources like PDFs, websites, and research), an agent operating core (Claude-connected control room with an MCP bridge), and an infinite loop where new sources continuously regenerate new content. He contrasts manual content creation with automated workflows, highlights a separate Obsidian-based memory vault (“Infinite Context Engine”) to reduce prompting and token usage, and references the AI Profit Boardroom for templates, prompts, tutorials, and support. 00:00 Dashboard Overview 01:10 NotebookLM Basics 02:21 Why Agent OS Matters 03:13 Getting The Template 04:01 Systems Win In AI 04:50 Three Layer Engine 07:34 Old Way Vs New 08:40 Memory Context Engine 09:43 Not Technical Objections 11:23 What Is Agent OS 12:27 How Integration Works 13:42 Recap And Offer 15:54 Multi Agent Automation Tips 21:17 Token And Cost Savings 25:17 Final Wrap Up

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## Transcript

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