Dami-Defi
@DamiDefi • 97,624 subscribers
AI. Former marketing lead at global Top 100 company. Crypto since 2018. Sharing strategies that actually work. All posts are NFA | DYOR.
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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-Defi249,628 Aufrufe • vor 13 Tagen
You can learn everything about Obsidian by spending 36 mins with this video. Most people fail with Obsidian for one reason: They spend more time building the perfect system than actually learning. Key takeaways: • Obsidian is a thinking tool, not a note-taking app • Simplicity beats plugin overload • Write notes in your own words to improve retention • Connect ideas instead of burying them in folders • Build a network of knowledge that compounds over time • Your notes become a personal writing assistant The biggest insight: A second brain isn't about collecting information. It's about creating connections that help you generate new ideas. The people getting the most out of AI aren't using better prompts. They're building better knowledge systems. Follow me Dami-Defi for more AI workflows, knowledge management systems, and productivity tools.
Dami-Defi50,317 Aufrufe • vor 5 Tagen
5,000 notes in Obsidian and none of them producing anything Most notes never get used. Not because the information was not valuable. Because every note-taking system optimises for capturing and ignores using entirely. Someone built a five-workflow Obsidian system designed from the opposite end. The contribution rate compounds from the first processed note. Here is the full build nobody is talking about. AI IS TURNING OBSIDIAN INTO A KNOWLEDGE ENGINE. Not because it captures better. Because it retrieves better. The average person has valuable insights buried in thousands of notes they never revisit. Claude changes that. It finds forgotten connections. Surfaces relevant context. Builds decision briefs. Generates writing from accumulated knowledge. The result: Less searching. More thinking. The future of note-taking isn't saving information. It's activating it.
Dami-Defi70,182 Aufrufe • vor 9 Tagen
Most people start Obsidian the wrong way. They import 10,000 notes. Build 50 folders. Install 20 plugins. Then quit a week later. If I had to restart Obsidian today, I’d do the opposite: • Start with 5 meaningful notes • Create ZERO folders • Ignore plugins completely • Focus only on connecting ideas That’s the real unlock. Obsidian isn’t a notes app. It’s a personal internet for your mind. The magic happens when you use one simple prompt: “This reminds me of…” A quote links to a book. A book links to a song. A song links to a memory. A memory links to an insight. That’s how real thinking compounds. The goal isn’t collecting information. It’s building connections your brain can return to later. AI can summarize notes. But only YOU can create meaningful links between ideas. That’s where the leverage is. Follow Dami-Defi for more AI alpha.
Dami-Defi69,713 Aufrufe • vor 10 Tagen
YOUR AI IS FORGETTING EVERYTHING YOU TAUGHT IT YESTERDAY. That is why most outputs still feel generic. The people getting real leverage in 2026 fixed this with one setup: Obsidian + Claude Code. Obsidian stores your thinking. Claude Code reads the patterns. Your notes become permanent context the agent can access anytime: Daily thoughts. Projects. Ideas. Contradictions. Questions you keep returning to. Then the real unlock: Custom slash commands. `/context` loads your recent thinking instantly. `/emerge` finds hidden ideas across your notes. `/challenge` tests your beliefs against your past writing. `/trace` maps how your thinking evolved over time. One critical rule: The AI never writes to the vault. You write. The agent reads. That is what keeps the system valuable. At first it feels like note-taking. Eventually it feels like a second brain.
Dami-Defi40,966 Aufrufe • vor 11 Tagen
You need to try Hermes RIGHT NOW. OpenClaw was the breakthrough. Hermes feels like the evolution. Here’s why AI power users are quietly switching: • Hermes learns from you over time • It creates its own reusable skills • Memory stays curated instead of bloated • Agents improve every 10 turns automatically • It actually feels stable on day 30 The wildest part: Hermes agents build workflows from your behavior. One user asked their agent to configure Twingate once. The agent: → learned the process → created a reusable skill → stored it for future tasks → improved its own workflow automatically That’s not prompt engineering anymore. That’s agent evolution. Meanwhile most people are still babysitting broken OpenClaw setups and manually importing marketplace skills. Hermes took a different path: Less clutter. Less tweaking. More autonomy. And it’s working. It already flipped OpenClaw in OpenRouter token usage and became one of the fastest-growing AI repos on GitHub. The bigger shift: We’re entering the era where the model matters less than the harness around it. GPT-5.5, Grok, Qwen: They’re already powerful enough. The real edge now is: • memory systems • self-improvement loops • skill creation • agent orchestration Hermes understands that. Most people still think AI agents are glorified chatbots. The people using Hermes are building AI teammates.
Dami-Defi17,062 Aufrufe • vor 12 Tagen
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