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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...

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Julian Goldie SEO

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32,335 görüntüleme • 8 ay önce •via X (Twitter)

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The AI power trio of NotebookLM, Perplexity, and Gemini 3 just killed manual research. No more spending hours digging through articles. No more manually building slide decks from scratch. Here’s the new play 👇 → Perplexity pulls real-time facts with verified source citations. → NotebookLM processes 1M tokens to synthesize massive data. → Gemini 3 adds multimodal reasoning for text, audio, and video. → Auto-generate full presentations and video overviews instantly. → Transform days of research into a 20-minute automated system. Save this workflow. Google is shipping these AI updates quietly and fast. Want the full guide? DM me.
8:46

The AI power trio of NotebookLM, Perplexity, and Gemini 3 just killed manual research. No more spending hours digging through articles. No more manually building slide decks from scratch. Here’s the new play 👇 → Perplexity pulls real-time facts with verified source citations. → NotebookLM processes 1M tokens to synthesize massive data. → Gemini 3 adds multimodal reasoning for text, audio, and video. → Auto-generate full presentations and video overviews instantly. → Transform days of research into a 20-minute automated system. Save this workflow. Google is shipping these AI updates quietly and fast. Want the full guide? DM me.

Julian Goldie SEO

29,354 görüntüleme • 8 ay önce

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.
11:34

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.

Julian Goldie SEO

15,449 görüntüleme • 8 ay önce

These NEW NotebookLM Tricks are INSANE! 🤯 Google’s NotebookLM just became the ultimate content engine. No more hours wasted on manual research. No more fighting with slide deck formatting. Here’s the NotebookLM play 👇 → Turn complex PDFs into narrated video walkthroughs. → Build full, editable slide decks from simple prompts. → Use Deep Research to synthesize web sources instantly. → Assign custom AI personas to act as your strategist. → Convert internal docs into instant team training guides. Stop doing the heavy lifting manually. Let AI turn your files into high-value assets. Want the full guide? DM me.
8:49

These NEW NotebookLM Tricks are INSANE! 🤯 Google’s NotebookLM just became the ultimate content engine. No more hours wasted on manual research. No more fighting with slide deck formatting. Here’s the NotebookLM play 👇 → Turn complex PDFs into narrated video walkthroughs. → Build full, editable slide decks from simple prompts. → Use Deep Research to synthesize web sources instantly. → Assign custom AI personas to act as your strategist. → Convert internal docs into instant team training guides. Stop doing the heavy lifting manually. Let AI turn your files into high-value assets. Want the full guide? DM me.

Julian Goldie SEO

15,379 görüntüleme • 6 ay önce

Dominate Google Search by reverse-engineering your competitors with Gemini and NotebookLM. No more manual keyword guesswork. No more content that fails to rank. Here’s the new play 👇 → Map the top 10 search results to find hidden content gaps. → Use Gemini to identify exactly what Google rewards today. → Build a centralized AI research database in NotebookLM. → Create high-authority outlines based on real ranking data. → Scale expert-level content with data-backed citations. Save this post. The SEO landscape is shifting faster than ever. Want the full guide? DM me.
9:05

Dominate Google Search by reverse-engineering your competitors with Gemini and NotebookLM. No more manual keyword guesswork. No more content that fails to rank. Here’s the new play 👇 → Map the top 10 search results to find hidden content gaps. → Use Gemini to identify exactly what Google rewards today. → Build a centralized AI research database in NotebookLM. → Create high-authority outlines based on real ranking data. → Scale expert-level content with data-backed citations. Save this post. The SEO landscape is shifting faster than ever. Want the full guide? DM me.

Julian Goldie SEO

16,618 görüntüleme • 8 ay önce

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. 💬
9:39

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. 💬

Julian Goldie SEO

18,534 görüntüleme • 7 ay önce

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). → Notebook LM runs OCR and turns it into clean text. → Ask it anything about the image. → Use Deep Research to pull in verified web sources. → Build a complete research hub in minutes. This is the first time your messy notes become a searchable knowledge base. Save this video, you’ll need it. Full guide is inside AI Money Lab. DM me for the link. 💬
11:08

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). → Notebook LM runs OCR and turns it into clean text. → Ask it anything about the image. → Use Deep Research to pull in verified web sources. → Build a complete research hub in minutes. This is the first time your messy notes become a searchable knowledge base. Save this video, you’ll need it. Full guide is inside AI Money Lab. DM me for the link. 💬

Julian Goldie SEO

13,157 görüntüleme • 9 ay önce

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. 💬
9:49

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. 💬

Julian Goldie SEO

15,790 görüntüleme • 7 ay önce

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. 💬
8:29

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. 💬

Julian Goldie SEO

67,343 görüntüleme • 8 ay önce

𝗡𝗼𝘁𝗲𝗯𝗼𝗼𝗸𝗟𝗠 + 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲: 𝗕𝘂𝗶𝗹𝗱 𝗔𝗡𝗬𝗧𝗛𝗜𝗡𝗚. 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝘆𝗼𝘂𝗿 𝗲𝗻𝘁𝗶𝗿𝗲 𝗡𝗼𝘁𝗲𝗯𝗼𝗼𝗸𝗟𝗠 𝗳𝗿𝗼𝗺 𝗖𝗹𝗮𝘂𝗱𝗲. 𝗡𝗼 𝗰𝗹𝗶𝗰𝗸𝗶𝗻𝗴. 𝗡𝗼 𝘀𝘄𝗶𝘁𝗰𝗵𝗶𝗻𝗴 𝘁𝗮𝗯𝘀. There's a free MCP server that connects NotebookLM to Claude. Here's what you can automate: → Generate podcast audio with one prompt → Create infographics automatically → Build video views in seconds → Run deep research across 122+ notebooks → Query all your sources at once Claude organizes everything in clean tables. NotebookLM's UI is messy tiny icons. Setup takes 5 minutes. Full remote control from Claude desktop. Save this video, you'll never touch NotebookLM's interface again. Want the SOP? DM me. 💬
11:42

𝗡𝗼𝘁𝗲𝗯𝗼𝗼𝗸𝗟𝗠 + 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲: 𝗕𝘂𝗶𝗹𝗱 𝗔𝗡𝗬𝗧𝗛𝗜𝗡𝗚. 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝘆𝗼𝘂𝗿 𝗲𝗻𝘁𝗶𝗿𝗲 𝗡𝗼𝘁𝗲𝗯𝗼𝗼𝗸𝗟𝗠 𝗳𝗿𝗼𝗺 𝗖𝗹𝗮𝘂𝗱𝗲. 𝗡𝗼 𝗰𝗹𝗶𝗰𝗸𝗶𝗻𝗴. 𝗡𝗼 𝘀𝘄𝗶𝘁𝗰𝗵𝗶𝗻𝗴 𝘁𝗮𝗯𝘀. There's a free MCP server that connects NotebookLM to Claude. Here's what you can automate: → Generate podcast audio with one prompt → Create infographics automatically → Build video views in seconds → Run deep research across 122+ notebooks → Query all your sources at once Claude organizes everything in clean tables. NotebookLM's UI is messy tiny icons. Setup takes 5 minutes. Full remote control from Claude desktop. Save this video, you'll never touch NotebookLM's interface again. Want the SOP? DM me. 💬

Julian Goldie SEO

91,941 görüntüleme • 7 ay önce

DeepSeek-V3-0324 just made developers obsolete! Created a FULLY FUNCTIONAL endless runner game, SEO calculator, and email automation system in minutes. Try these powerful workflows: • Build games with p5.js instantly • Create beautiful tools with free AI • Deploy AI agents in under a minute • Design websites with VS Code automation • Set up content creation systems I timed how long it takes to build an AI email agent: just 47 SECONDS! Save this video, it's the ultimate no-code building guide that will save you hundreds of hours. 💯 Want the SOP? DM me.
17:12

DeepSeek-V3-0324 just made developers obsolete! Created a FULLY FUNCTIONAL endless runner game, SEO calculator, and email automation system in minutes. Try these powerful workflows: • Build games with p5.js instantly • Create beautiful tools with free AI • Deploy AI agents in under a minute • Design websites with VS Code automation • Set up content creation systems I timed how long it takes to build an AI email agent: just 47 SECONDS! Save this video, it's the ultimate no-code building guide that will save you hundreds of hours. 💯 Want the SOP? DM me.

Julian Goldie SEO

16,878 görüntüleme • 1 yıl önce

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
32:50

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 görüntüleme • 3 ay önce

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. 💬
1:30:40

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. 💬

Julian Goldie SEO

16,031 görüntüleme • 8 ay önce

Two big steps towards our vision for @NotebookLM as the ultimate research platform: • Integrating Deep Research, with a set of only-at-Notebook features that let you explore the retrieved sources • Launching a series of Featured Notebooks curated by Google Research These developments are designed to enhance the full life cycle of research and scholarship: using the power of AI to assemble the knowledge base you need to advance your understanding, and then making your work accessible and intelligible to a wider audience using all the explanatory tools that Notebook offers. If you've used DeepResearch in the Gemini app, you already know that it's a pioneering advance in assembling complex, grounded information on any topic imaginable—collecting an entire trove of material for you and writing a nuanced research report that summarizes the findings. But because NotebookLM is designed to manage and explore potentially hundreds of sources, the Deep Research report is only the beginning of your journey. In our integration, Deep Research gives you an overview all of the sources it found during its research phase, with annotated commentary explaining how each source related to your original query. You can then choose to import some or all of the sources to the notebook, along with the report itself, which you can then explore or transform using the full suite of tools that Notebook offers: grounded chat with citations, Mind Maps, Audio/Video overviews, and much more. And it's that suite of tools that make the Google Research Featured Notebooks so compelling as well. Each notebook contains a curated collection of articles on a specific topic, published by the Google Research team. Think of them as a kind of knowledge base of Google's best thinking on a series of compelling research questions: How do scientists link genetics to health? How will quantum computing be useful? If you're a specialist in these fields, you can read the original papers or ask nuanced questions in chat and advance your understanding of the latest developments. But these notebooks can also make the complex but important topics understandable to non-specialists or students. Each notebook comes with pre-generated audio and video overviews, flashcards, and other Studio artifacts designed to make the scientific and technological concepts accessible and interesting. And you can always explore the material with our new "Learning Guide" chat mode that effectively gives you a personal tutor to enhance your understanding. There's much more to come on this front, but you can see in these two announcements how we see Notebook as both a workbench for conducting research and a publishing platform for sharing the results of that research once you're ready to make it public. Deep Research is rolling out this week to all users. The first two Google Research notebooks are live now, both of them deep dives into our most recent discoveries involving genetics and health. (Links in the following tweets.) We'll be publishing new notebooks in the series every other week or so for the next few months.
0:34

Two big steps towards our vision for @NotebookLM as the ultimate research platform: • Integrating Deep Research, with a set of only-at-Notebook features that let you explore the retrieved sources • Launching a series of Featured Notebooks curated by Google Research These developments are designed to enhance the full life cycle of research and scholarship: using the power of AI to assemble the knowledge base you need to advance your understanding, and then making your work accessible and intelligible to a wider audience using all the explanatory tools that Notebook offers. If you've used DeepResearch in the Gemini app, you already know that it's a pioneering advance in assembling complex, grounded information on any topic imaginable—collecting an entire trove of material for you and writing a nuanced research report that summarizes the findings. But because NotebookLM is designed to manage and explore potentially hundreds of sources, the Deep Research report is only the beginning of your journey. In our integration, Deep Research gives you an overview all of the sources it found during its research phase, with annotated commentary explaining how each source related to your original query. You can then choose to import some or all of the sources to the notebook, along with the report itself, which you can then explore or transform using the full suite of tools that Notebook offers: grounded chat with citations, Mind Maps, Audio/Video overviews, and much more. And it's that suite of tools that make the Google Research Featured Notebooks so compelling as well. Each notebook contains a curated collection of articles on a specific topic, published by the Google Research team. Think of them as a kind of knowledge base of Google's best thinking on a series of compelling research questions: How do scientists link genetics to health? How will quantum computing be useful? If you're a specialist in these fields, you can read the original papers or ask nuanced questions in chat and advance your understanding of the latest developments. But these notebooks can also make the complex but important topics understandable to non-specialists or students. Each notebook comes with pre-generated audio and video overviews, flashcards, and other Studio artifacts designed to make the scientific and technological concepts accessible and interesting. And you can always explore the material with our new "Learning Guide" chat mode that effectively gives you a personal tutor to enhance your understanding. There's much more to come on this front, but you can see in these two announcements how we see Notebook as both a workbench for conducting research and a publishing platform for sharing the results of that research once you're ready to make it public. Deep Research is rolling out this week to all users. The first two Google Research notebooks are live now, both of them deep dives into our most recent discoveries involving genetics and health. (Links in the following tweets.) We'll be publishing new notebooks in the series every other week or so for the next few months.

Steven Johnson

104,833 görüntüleme • 9 ay önce

❤️‍🔥 AntiGravity built me a $10,000 beautiful website using only AI. Today, I recorded myself creating the entire thing from scratch in 25 minutes. You'll learn how to: • Turn Dribbble screenshots into premium designs instantly • Generate characters and looping Kling video animations • Build fully responsive websites in Google AI Studio + AntiGravity • Add smooth transitions, loaders & mobile optimization • Deploy live to your own custom domain After 10 years as a designer. This is exactly how I create high-quality websites (no AI slop). Comment “DESIGNROCKET” and I’ll DM you the remix link to the final result.
22:06

❤️‍🔥 AntiGravity built me a $10,000 beautiful website using only AI. Today, I recorded myself creating the entire thing from scratch in 25 minutes. You'll learn how to: • Turn Dribbble screenshots into premium designs instantly • Generate characters and looping Kling video animations • Build fully responsive websites in Google AI Studio + AntiGravity • Add smooth transitions, loaders & mobile optimization • Deploy live to your own custom domain After 10 years as a designer. This is exactly how I create high-quality websites (no AI slop). Comment “DESIGNROCKET” and I’ll DM you the remix link to the final result.

Viktor Oddy

60,530 görüntüleme • 5 ay önce

Claude just became your personal automation engineer. (This will change how you build in n8n forever) using n8n’s new MCP server, you can now describe a workflow in plain English… and Claude builds + deploys the entire n8n workflow for you - automatically. you can now: - build full workflows in plain English - deploy straight into your n8n instance (no JSON copy/paste) - spin up custom agents for ads, inventory, email, Slack - whatever - ship automations 10x faster, with 0 tech bottlenecks this is like having a full-time backend engineer for $20/month want the full Claude setup + install guide? comment “AUTOMATE” + follow + repost and I’ll DM you everything (must be following so I can DM)
11:58

Claude just became your personal automation engineer. (This will change how you build in n8n forever) using n8n’s new MCP server, you can now describe a workflow in plain English… and Claude builds + deploys the entire n8n workflow for you - automatically. you can now: - build full workflows in plain English - deploy straight into your n8n instance (no JSON copy/paste) - spin up custom agents for ads, inventory, email, Slack - whatever - ship automations 10x faster, with 0 tech bottlenecks this is like having a full-time backend engineer for $20/month want the full Claude setup + install guide? comment “AUTOMATE” + follow + repost and I’ll DM you everything (must be following so I can DM)

J.B.

380,182 görüntüleme • 1 yıl önce

A YouTube creator decided to stop manual editing and made over $30,000 in a single month He built an automated system that generates high-performing faceless videos using a single AI pipeline He didn't hire expensive video editors or scriptwriters He just paired Claude's desktop app with a graphics generation platform Every single video follows a precise, mechanical routine: extract competitor transcripts, rewrite with AI, and auto-generate assets For less than 20 minutes per video, the system does the heavy lifting. Zero complex timelines, zero hours wasted on rendering. Just pure automated production He doesn't even manual-search prompts anymore because his AI directly commands other neural networks to generate and animate visual frames Out of multiple channels launched in this niche, most creators struggle to get noticed But his single automation setup now generates millions of views on American YouTube alone His main secret? He uses Claude to auto-name files by exact timestamps so he can assemble a 10-minute video instantly I recommend watching the full video below Bookmark this
17:27

A YouTube creator decided to stop manual editing and made over $30,000 in a single month He built an automated system that generates high-performing faceless videos using a single AI pipeline He didn't hire expensive video editors or scriptwriters He just paired Claude's desktop app with a graphics generation platform Every single video follows a precise, mechanical routine: extract competitor transcripts, rewrite with AI, and auto-generate assets For less than 20 minutes per video, the system does the heavy lifting. Zero complex timelines, zero hours wasted on rendering. Just pure automated production He doesn't even manual-search prompts anymore because his AI directly commands other neural networks to generate and animate visual frames Out of multiple channels launched in this niche, most creators struggle to get noticed But his single automation setup now generates millions of views on American YouTube alone His main secret? He uses Claude to auto-name files by exact timestamps so he can assemble a 10-minute video instantly I recommend watching the full video below Bookmark this

Ridark

13,310 görüntüleme • 2 ay önce

I wish it existed when I was doing PhD. It’d have saved me hours in literature reviews. Here is the FASTEST way to get a COMPLETE overview of any research field. 1. Go to 2. Type your research topic in one sentence 3. Review the structured plan Noah builds 4. Tweak or approve the structured plan 4. Watch it run: ✦ Database searches ✦ Clinical trial analysis, ✦ Web + medical literature deep dives ✦ And full verification 5. In 10 minutes, get a comprehensive, structured report with accurate in-text citations What you get: → A structured research plan you control before execution → Searches across PubMed, clinical trial registries, FDA, NIH, and more → Clinical data analyzed and cross-verified automatically → A full field overview, competitive landscape, drug pipelines, key findings → In-text citations from trusted sources, no hallucinations Try Noah AI today for FREE:
1:15

I wish it existed when I was doing PhD. It’d have saved me hours in literature reviews. Here is the FASTEST way to get a COMPLETE overview of any research field. 1. Go to 2. Type your research topic in one sentence 3. Review the structured plan Noah builds 4. Tweak or approve the structured plan 4. Watch it run: ✦ Database searches ✦ Clinical trial analysis, ✦ Web + medical literature deep dives ✦ And full verification 5. In 10 minutes, get a comprehensive, structured report with accurate in-text citations What you get: → A structured research plan you control before execution → Searches across PubMed, clinical trial registries, FDA, NIH, and more → Clinical data analyzed and cross-verified automatically → A full field overview, competitive landscape, drug pipelines, key findings → In-text citations from trusted sources, no hallucinations Try Noah AI today for FREE:

Faheem Ullah

11,980 görüntüleme • 2 ay önce

This workflow combining Loom’s AI features + a custom ChatGPT GPT is saving me hours. Instead of creating onboarding Docs for new team members, I film a Loom → generate SOP → train a GPT to answer questions Game changer for businesses to delegate faster. Here's how to do it: First, I record a video of whatever task I want to delegate to the new team member with Loom. The more in-depth, the better, but I just used a 7-minute video. Then, I use Loom's new AI 'Write a document' feature. Upgrading to Loom AI from the standard Loom plan cost me $2. Loom AI can generate an entire SOP, PR description, step-by-step guide, QA, and more from a simple Loom video in <5 seconds. In the past, I’ve spent 2 hours+ hand-writing each one of these docs to onboard new team members, so Loom AI is already a massive timesaver. But it gets even better! Next, we can take that data from the SOP document, and we use it as 'Knowledge' to train a Custom GPT that can answer the new team members' questions. The more SOP docs/Knowledge you feed the GPT, the better. But one is fine if that's all you have because the GPT will pull any unknown answers from the web or its training data. Here are the prompt Instructions you want to put into the Custom GPT (copy and paste this): You are an expert CEO, specialized in onboarding and training new team members. Using the Knowledge provided, you will help new team members with any questions or stipulations they may have about their new role. Stick as true to the data provided as possible, but if= they ask any questions that the Knowledge base does not have a specific answer for, you are permitted to use your pre-trained data and/or web browsing capabilities. That's it! It can't replace you entirely, but it'll save you 90% of the time you would've wasted on writing an SOP doc and answering questions. Simple AI workflows here and there really add up. There's also a workflow to help with the job screening process, but I'll save that for another day :^)
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This workflow combining Loom’s AI features + a custom ChatGPT GPT is saving me hours. Instead of creating onboarding Docs for new team members, I film a Loom → generate SOP → train a GPT to answer questions Game changer for businesses to delegate faster. Here's how to do it: First, I record a video of whatever task I want to delegate to the new team member with Loom. The more in-depth, the better, but I just used a 7-minute video. Then, I use Loom's new AI 'Write a document' feature. Upgrading to Loom AI from the standard Loom plan cost me $2. Loom AI can generate an entire SOP, PR description, step-by-step guide, QA, and more from a simple Loom video in <5 seconds. In the past, I’ve spent 2 hours+ hand-writing each one of these docs to onboard new team members, so Loom AI is already a massive timesaver. But it gets even better! Next, we can take that data from the SOP document, and we use it as 'Knowledge' to train a Custom GPT that can answer the new team members' questions. The more SOP docs/Knowledge you feed the GPT, the better. But one is fine if that's all you have because the GPT will pull any unknown answers from the web or its training data. Here are the prompt Instructions you want to put into the Custom GPT (copy and paste this): You are an expert CEO, specialized in onboarding and training new team members. Using the Knowledge provided, you will help new team members with any questions or stipulations they may have about their new role. Stick as true to the data provided as possible, but if= they ask any questions that the Knowledge base does not have a specific answer for, you are permitted to use your pre-trained data and/or web browsing capabilities. That's it! It can't replace you entirely, but it'll save you 90% of the time you would've wasted on writing an SOP doc and answering questions. Simple AI workflows here and there really add up. There's also a workflow to help with the job screening process, but I'll save that for another day :^)

Rowan Cheung

129,424 görüntüleme • 2 yıl önce