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NotebookLM’s New Update + My Free “Instant Research Engine” Agent OS Setup
This episode covers a new NotebookLM update with three major changes: an improved chat experience with added sources and over 100 curated software skills for deeper research, new visualization for data including PDFs, images, and Excel sheets, and an agentic research companion that helps start notebooks from loose ideas and questions. It then demonstrates an “agentic operating system” built around NotebookLM to better organize notebooks, chat with source-trained notebooks, run fast or deep agentic research with citations, and generate assets in a studio such as presentations, podcasts, videos, mind maps, infographics, and flashcards in parallel. The script argues this system offers better organization, more recent cited answers, model flexibility via MCP, and can be built for free, with an optional packaged version in the AI Profit Boardroom.
00:00 NotebookLM Update Overview
00:51 Agent OS Dashboard Tour
01:24 Why Build a Layered System
02:01 Instant Research Engine Demo
04:09 Library Research Chat Studio Workflow
05:25 Generating Assets in Studio
06:19 Research Report Example
07:42 Parallel Agents Background Work
08:37 Free Setup Options
09:37 Output Quality Examples
10:48 Join AI Profit Boardroom
11:41 Community Support and Wrap Up
This episode covers a new NotebookLM update with three major changes: an improved chat experience with added sources and over 100 curated software skills for deeper research, new visualization for data including PDFs, images, and Excel sheets, and an agentic research companion that helps start notebooks from loose ideas and questions. It then demonstrates an “agentic operating system” built around NotebookLM to better organize notebooks, chat with source-trained notebooks, run fast or deep agentic research with citations, and generate assets in a studio such as presentations, podcasts, videos, mind maps, infographics, and flashcards in parallel. The script argues this system offers better organization, more recent cited answers, model flexibility via MCP, and can be built for free, with an optional packaged version in the AI Profit Boardroom.
00:00 NotebookLM Update Overview
00:51 Agent OS Dashboard Tour
01:24 Why Build a Layered System
02:01 Instant Research Engine Demo
04:09 Library Research Chat Studio Workflow
05:25 Generating Assets in Studio
06:19 Research Report Example
07:42 Parallel Agents Background Work
08:37 Free Setup Options
09:37 Output Quality Examples
10:48 Join AI Profit Boardroom
11:41 Community Support and Wrap Up
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