NotebookLM 2.0 is INSANE!

Julian Goldie SEO ยท Beginner ยท๐Ÿ› ๏ธ AI Tools & Apps ยท1h ago
Get the Agent OS ๐Ÿ‘‰ https://www.skool.com/ai-profit-lab-7462/about Want to make money and save time with AI? Join here: https://www.skool.com/ai-profit-lab-7462/about Video notes + links to the tools ๐Ÿ‘‰ https://www.skool.com/ai-profit-lab-7462/about Get a FREE AI Course + Community + 1,000 AI Agents ๐Ÿ‘‰ https://www.skool.com/ai-seo-with-julian-goldie-1553/about Get a FREE AI SEO Strategy Session โ†’ https://go.juliangoldie.com/strategy-session?utm=julian Get 200+ Free AI SEO Prompts โ†’ https://go.juliangoldie.com/chat-gpt-prompts Build a NotebookLM + Claude Agent OS Dashboard (Goldie Infinite Knowledge Engine) to Auto-Generate Videos, Podcasts & More Julian demonstrates a local โ€œAgent OSโ€ dashboard that integrates Claude with Googleโ€™s free NotebookLM to manage notebooks in one place, chat with sources, trigger Studio outputs, and automatically pull generated assetsโ€”videos, podcasts/audio overviews, slide decks, mind maps, infographics, flashcards, quizzes, briefs, and reportsโ€”into an organized gallery. He explains the โ€œGoldie Infinite Knowledge Engineโ€ 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 (โ€œInfinite Context Engineโ€) 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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Chapters (15)

Dashboard Overview
1:10 NotebookLM Basics
2:21 Why Agent OS Matters
3:13 Getting The Template
4:01 Systems Win In AI
4:50 Three Layer Engine
7:34 Old Way Vs New
8:40 Memory Context Engine
9:43 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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