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NotebookLM just went from smart… to unstoppable. And nobody is talking about how big this update really is. Google just gave Notebook LM the ability to read your photos → handwritten notes, textbook pages, graphs, screenshots. Here’s how to use it: → Upload any image (notes, diagrams, whiteboards). →... show more

Julian Goldie SEO

152,126 subscribers

13,157 views • 8 months ago •via X (Twitter)

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Stop re explaining your context to AI. Google just killed copy paste workflows. Here’s the new play. → Build a Notebook LM “knowledge vault” → Drop in PDFs notes links research → Let Notebook LM extract key facts + summaries → Keep everything organized by topic → Attach the notebook inside Gemini and it “just knows” Save this video, you’ll stop wasting hours. Want the SOP? DM me. 💬

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Julian Goldie SEO

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NotebookLM just got its biggest upgrade since launch. Now it runs directly inside Gemini 3. Here is the Goldie Triple Integration Framework. → Load your sources into NotebookLM → Open Gemini and attach the notebook → Use Dynamic Views to create a plan or mini app → Generate Data Tables → Export tables straight into Google Sheets → Turn it into client deliverables and automated workflows Save this video, you’ll turn messy research into a system. Want the SOP? DM me. 💬

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Gemini + NotebookLM just changed content creation forever. Most people still don’t realize what Google shipped. Here’s the new workflow creators are using: → Upload research into NotebookLM → Attach the notebook inside Gemini → Ask Gemini to create content from your files → Get landing pages, scripts, slides in seconds No tab switching. No copy-paste chaos. No generic AI output. This is your knowledge base + AI execution engine combined. Save this video, you’ll stop rebuilding content from scratch. Want the SOP? DM me. 💬

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PhD Students – How to convert your rough notes into a research paper in minutes? 1. Go to and upload your notes 2. Gatsbi AI will convert it into a research paper. 3. The paper contains the following parts → Title → Abstract → Introduction → Literature review → Methodology → Results → Discussion → Conclusion → References 4. This polished paper also contains ➟ Diagrams ➟ Tables ➟ Equations ➟ Graphs Once the paper is ready, you can humanize the text. Once humanized, download it in the following formats. ➟ MS Word ➟ Latex ➟ Markdown

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Faheem Ullah

37,689 views • 3 months ago

Google just made your entire content creation workflow free and automated. No more manual research and 50 open tabs. No more paying for expensive content tools. Here’s the new play 👇 → Turn notes into podcasts, videos, and quizzes in 1 click. → Upload 300+ sources to build a custom AI knowledge base. → Deep Research: Automated web scanning with full citations. → Studio Mode: Generate slide decks and landing pages instantly. → Gemini 3 Power: Zero-hallucination outputs grounded in your data. Save this for your next project. Google is shipping quietly and fast. Want the full guide? DM me.

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Julian Goldie SEO

15,449 views • 7 months ago

Google quietly shipped one of the biggest AI upgrades this year. Here’s the workflow → → Build a Notebook LM with your business docs → Import it into Gemini → Turn it into a custom Gem → Generate content using real data → Export tables straight to Sheets This replaces 5 tools instantly. Save this video, you’ll automate your workflow. Want the SOP? DM me. 💬

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Julian Goldie SEO

13,220 views • 6 months ago

NotebookLM just became a custom AI tool builder. Most people are still using it like a note app. Here’s the new workflow: → Upload your docs first (PDFs, Drive links, Sheets, Word). → Set a 10,000-character persona (rules, formats, constraints). → Ask for data tables → export straight to Google Sheets. → Run Deep Research → plan + web crawl + cited report. → Generate mind maps to see how ideas connect. Save this video, you’ll build your first “AI specialist” in 10 minutes. Want the SOP? DM me. 💬

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Julian Goldie SEO

18,534 views • 6 months ago

NotebookLM is great for research. Claude’s browser agent is great for clicking. Combine them and you get a “researcher + executor” that works while you do something else. → Install Claude for Chrome and enable browser use. → Set “Ask before acting” for safety. → Prompt: “Open NotebookLM → create notebook → add sources → build a data table → export to Google Sheets → generate an audio overview.” → Let it run in the background while you work. This turns competitor research into a repeatable SOP instead of a one-time grind. Save this video, you’ll stop doing busywork. Want the SOP? DM me. 💬

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Julian Goldie SEO

16,031 views • 7 months ago

The most underrated SEO workflow of 2025: 1/ Start in Perplexity Get a complete SEO breakdown in 30 seconds. 2/ Send it to Notebook LM Watch it turn into clusters, outlines, angles, and expert insights. 3/ Push it into Gemini Get a full blog, titles, meta description, TikTok script, and YouTube outline. 4/ Round-trip back to Notebook LM It finds gaps you missed. This is the “accuracy + depth + uniqueness” triangle Google rewards. Save this video, you’ll rethink content creation forever. Want the SOP? DM me. 💬

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Julian Goldie SEO

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How is the Web changing due to AI? This visit to TinyFish yesterday goes deeply into just how. TinyFish makes a new kind of web browser. One that is started virtually. It is like a Google Chrome in the cloud. But it is very smart, can read and use any website, and your AI agents can talk to it. Here we talk about what it all means for business and the future of robots, brain computer interfaces, and AI glasses. It lets you build systems that can look at MANY websites at the same time and build new kinds of apps to do all sorts of new things.

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Robert Scoble

16,341 views • 7 months ago

Nobody will see this but this is how I do research 10x faster now > I drop a topic into Claude Code > It finds 10 relevant YouTube sources automatically > Sends them to NotebookLM 6 minutes later I get a full structured analysis, an infographic, and a markdown file saved to my vault Before this I was spending 3 hours doing the same thing manually and ending up with messy notes I'd never look at again Now the system does it in one command and the output gets better every time I use it full setup guide in the article

Nobody will see this but this is how I do research 10x faster now > I drop a topic into Claude Code > It finds 10 relevant YouTube sources automatically > Sends them to NotebookLM 6 minutes later I get a full structured analysis, an infographic, and a markdown file saved to my vault Before this I was spending 3 hours doing the same thing manually and ending up with messy notes I'd never look at again Now the system does it in one command and the output gets better every time I use it full setup guide in the article

monokern

188,387 views • 2 months ago

Claude Code cannot read 300 files at once. So someone built a system that lets it control NotebookLM from the terminal instead. The results are wild. Here is the full workflow nobody is talking about: The Setup → Claude Code connects to NotebookLM via a command line interface → Claude searches YouTube, finds relevant videos, uploads them as sources automatically → NotebookLM processes up to 300 sources simultaneously and returns cited, grounded answers → Everything syncs back into your Obsidian vault with passage-level citations you can click to verify Why This Changes Research Forever → No more 20 browser tabs you never close → No more copy-pasting outputs into random notes → No more hallucinated answers with no sources to back them up → 60% of citations verified as strong matches in accuracy audits - answers are grounded in real data What Claude Can Do From the Terminal → Search YouTube for relevant videos on any topic and rank by relevance → Create a new NotebookLM notebook and add 20 sources in parallel automatically → Ask questions and export cited answers directly into Obsidian with wikilinks → Set custom personas per notebook - concise, no filler, no preamble → Generate audio overviews and save them as MP3 files into your vault → Build mind maps, flashcard decks, and research dashboards from your sources → Search arXiv for academic papers and feed them directly into NotebookLM → Upload competitor blog posts, podcast episodes, PDFs, and your own vault notes The Obsidian Output → Every answer arrives with clickable citations that link to the exact passage in the source video or article → Graph view shows connections between all 20 sources and the topics they share → Q&A log tracks every question asked and the grounded response received → Source dashboard shows citation frequency, topics extracted, and which questions each source answered Use Cases Worth Building Today → Academic research with arXiv papers, full citation traceability → Competitor analysis from their YouTube channels and blog posts → Company knowledge base for onboarding, new employees ask NotebookLM instead of interrupting teammates → Podcast research, feed 4-hour Lex Fridman episodes and ask what's new in AI this week → Personal second brain, 300 daily notes uploaded and queryable in one notebook Before this system existed you needed 20 tabs, hours of manual reading, and no guarantee the answers were real. Now you type one prompt in the terminal and Claude does all of it for you. The research stack of 2026 is not a browser. It is a terminal connected to everything

Claude Code cannot read 300 files at once. So someone built a system that lets it control NotebookLM from the terminal instead. The results are wild. Here is the full workflow nobody is talking about: The Setup → Claude Code connects to NotebookLM via a command line interface → Claude searches YouTube, finds relevant videos, uploads them as sources automatically → NotebookLM processes up to 300 sources simultaneously and returns cited, grounded answers → Everything syncs back into your Obsidian vault with passage-level citations you can click to verify Why This Changes Research Forever → No more 20 browser tabs you never close → No more copy-pasting outputs into random notes → No more hallucinated answers with no sources to back them up → 60% of citations verified as strong matches in accuracy audits - answers are grounded in real data What Claude Can Do From the Terminal → Search YouTube for relevant videos on any topic and rank by relevance → Create a new NotebookLM notebook and add 20 sources in parallel automatically → Ask questions and export cited answers directly into Obsidian with wikilinks → Set custom personas per notebook - concise, no filler, no preamble → Generate audio overviews and save them as MP3 files into your vault → Build mind maps, flashcard decks, and research dashboards from your sources → Search arXiv for academic papers and feed them directly into NotebookLM → Upload competitor blog posts, podcast episodes, PDFs, and your own vault notes The Obsidian Output → Every answer arrives with clickable citations that link to the exact passage in the source video or article → Graph view shows connections between all 20 sources and the topics they share → Q&A log tracks every question asked and the grounded response received → Source dashboard shows citation frequency, topics extracted, and which questions each source answered Use Cases Worth Building Today → Academic research with arXiv papers, full citation traceability → Competitor analysis from their YouTube channels and blog posts → Company knowledge base for onboarding, new employees ask NotebookLM instead of interrupting teammates → Podcast research, feed 4-hour Lex Fridman episodes and ask what's new in AI this week → Personal second brain, 300 daily notes uploaded and queryable in one notebook Before this system existed you needed 20 tabs, hours of manual reading, and no guarantee the answers were real. Now you type one prompt in the terminal and Claude does all of it for you. The research stack of 2026 is not a browser. It is a terminal connected to everything

Dami-Defi

252,693 views • 2 months ago

HERMES AGENT JUST GOT A RESEARCH BRAIN. connect it to NotebookLM and it becomes a 247 research system that builds knowledge over time. it resources. connects ideas across sources. uses that context in every real task. setup in 4 steps: 1. install Hermes with MCP enabled 2. download NotebookLM skill from GitHub 3. add endpoint to MCP servers in config 4. restart Hermes what your agent can now do: → query your notebooks instead of the open web → connect ideas across multiple sources → build knowledge session after session → use your curated context in every /goal → zero hallucinations from your own verified sources ask it anything — it answers from what YOU already know. full setup guide — MCP, models, use cases — in the article 👇

HERMES AGENT JUST GOT A RESEARCH BRAIN. connect it to NotebookLM and it becomes a 247 research system that builds knowledge over time. it resources. connects ideas across sources. uses that context in every real task. setup in 4 steps: 1. install Hermes with MCP enabled 2. download NotebookLM skill from GitHub 3. add endpoint to MCP servers in config 4. restart Hermes what your agent can now do: → query your notebooks instead of the open web → connect ideas across multiple sources → build knowledge session after session → use your curated context in every /goal → zero hallucinations from your own verified sources ask it anything — it answers from what YOU already know. full setup guide — MCP, models, use cases — in the article 👇

YanXbt

186,667 views • 2 months ago

NotebookLM is the most powerful automation engine hidden in plain sight. No more wasting hours on manual research. No more hiring expensive designers for slide decks. Here’s the new play 👇 → Deep Research: Scan hundreds of websites for a single report instantly. → Video Overviews: Turn any PDF into a narrated video in minutes. → Smart Tables: Extract structured data from messy transcripts automatically. → Visual Studio: Auto-generate infographics and professional slides. → Knowledge Hub: Build a custom AI expert trained on your own documents. Save this post. Google is shipping updates faster than you can keep up. Want the full guide? DM me.

NotebookLM is the most powerful automation engine hidden in plain sight. No more wasting hours on manual research. No more hiring expensive designers for slide decks. Here’s the new play 👇 → Deep Research: Scan hundreds of websites for a single report instantly. → Video Overviews: Turn any PDF into a narrated video in minutes. → Smart Tables: Extract structured data from messy transcripts automatically. → Visual Studio: Auto-generate infographics and professional slides. → Knowledge Hub: Build a custom AI expert trained on your own documents. Save this post. Google is shipping updates faster than you can keep up. Want the full guide? DM me.

Julian Goldie SEO

32,335 views • 7 months ago

KARPATHY'S SECOND BRAIN REWRITES YOUR NOTES EVERY TIME YOU LEARN SOMETHING NEW most AI note setups are just RAG you ask, it digs through your files, answers, and forgets nothing carries over every query starts from zero Karpathy's llm-wiki works differently the AI keeps a living wiki inside Obsidian every source you drop in gets: > read and summarized > cross-linked to what you already have > checked for contradictions > folded into the running synthesis the knowledge compounds instead of resetting now the part people miss: a wiki like this is a product > deep research reports to founders go for $2-5k each > a due diligence package on a niche runs $5-10k > a paid newsletter off your synthesis pages clears $3-4k/mo at a few hundred subs your job is to curate sources and ask good questions the AI does the bookkeeping no human keeps up with - Obsidian is the IDE - the LLM is the programmer - your wiki is the codebase save this before your notes pile any higher 👇

KARPATHY'S SECOND BRAIN REWRITES YOUR NOTES EVERY TIME YOU LEARN SOMETHING NEW most AI note setups are just RAG you ask, it digs through your files, answers, and forgets nothing carries over every query starts from zero Karpathy's llm-wiki works differently the AI keeps a living wiki inside Obsidian every source you drop in gets: > read and summarized > cross-linked to what you already have > checked for contradictions > folded into the running synthesis the knowledge compounds instead of resetting now the part people miss: a wiki like this is a product > deep research reports to founders go for $2-5k each > a due diligence package on a niche runs $5-10k > a paid newsletter off your synthesis pages clears $3-4k/mo at a few hundred subs your job is to curate sources and ask good questions the AI does the bookkeeping no human keeps up with - Obsidian is the IDE - the LLM is the programmer - your wiki is the codebase save this before your notes pile any higher 👇

Mr. Buzzoni

18,500 views • 18 days ago

You’re using NotebookLM like a PDF reader. It’s actually a “second brain” builder. Do this: → Create separate notebooks per project → Upload sources one by one so you control what it learns → Ask questions and verify with built in citations → Pin the best answers as Notes for reuse Save this video, you’ll stop redoing research every week. Want the SOP? DM me. 💬

You’re using NotebookLM like a PDF reader. It’s actually a “second brain” builder. Do this: → Create separate notebooks per project → Upload sources one by one so you control what it learns → Ask questions and verify with built in citations → Pin the best answers as Notes for reuse Save this video, you’ll stop redoing research every week. Want the SOP? DM me. 💬

Julian Goldie SEO

28,693 views • 7 months ago

Stop paying for “knowledge base” tools. Build your own NotebookLM clone locally for free. Here’s the setup flow → → Install Docker (one time). → Install Ollama. → Pull Gemma 3 1B for the chat model. → Add mxbai-embed-large for embeddings (semantic search). → Run Open NotebookLM via Docker. → Select Chat Model + Tools Model or it won’t work. Save this video, you’ll build your private research hub in 10 minutes. Want the SOP? DM me. 💬

Stop paying for “knowledge base” tools. Build your own NotebookLM clone locally for free. Here’s the setup flow → → Install Docker (one time). → Install Ollama. → Pull Gemma 3 1B for the chat model. → Add mxbai-embed-large for embeddings (semantic search). → Run Open NotebookLM via Docker. → Select Chat Model + Tools Model or it won’t work. Save this video, you’ll build your private research hub in 10 minutes. Want the SOP? DM me. 💬

Julian Goldie SEO

40,659 views • 7 months ago

Google just made websites obsolete. Antigravity 2.0 builds full landing pages while you watch. Here’s how this actually works in real life. → You type one prompt → AI plans the entire app → It writes the code → Tests it in a browser → Fixes errors automatically → Deploys it live No devs. No templates. No monthly fees. Powered by Gemini 3 + parallel AI agents, so design, backend, and testing happen at the same time. This is how people are launching pages in under 5 minutes. Save this video, you’ll use it again. Want the SOP? DM me. 💬

Google just made websites obsolete. Antigravity 2.0 builds full landing pages while you watch. Here’s how this actually works in real life. → You type one prompt → AI plans the entire app → It writes the code → Tests it in a browser → Fixes errors automatically → Deploys it live No devs. No templates. No monthly fees. Powered by Gemini 3 + parallel AI agents, so design, backend, and testing happen at the same time. This is how people are launching pages in under 5 minutes. Save this video, you’ll use it again. Want the SOP? DM me. 💬

Julian Goldie SEO

13,010 views • 6 months ago

This is CRAZY. You have to watch the video below. I uploaded all of my weekly newsletters to Google's notebook LM. I clicked a button and it generated a 22 minute audio podcast about all my newsletters. This was completely AI generated. (AI = Artificial Intelligence) It took a couple minutes to read 60+ pages of my newsletters and generate this podcast-style conversation. Absolutely mind blowing.

This is CRAZY. You have to watch the video below. I uploaded all of my weekly newsletters to Google's notebook LM. I clicked a button and it generated a 22 minute audio podcast about all my newsletters. This was completely AI generated. (AI = Artificial Intelligence) It took a couple minutes to read 60+ pages of my newsletters and generate this podcast-style conversation. Absolutely mind blowing.

Lou Stagner (Golf Stat Pro)

80,650 views • 1 year ago

this is hands down the best way to learn how to use AI... feed ChatGPT with 5 books about AI and make it create an interactive course tailored to your business i just wrote a guide containing: - the 5 essential books to import inside a ChatGPT project - a super-prompt to build your custom interactive course - a guide to leverage this for your specific situation reply "BOOKS" + follow me and i'll dm this to you for FREE

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Machina

17,417 views • 1 year ago