Claude Code Mieux que 99 % des Gens en 1 Vidéo , Obsidian, le Prompt, VPS 24/7, Las Vegas

Overview

The video is a “1-minute plan” walkthrough featuring many personal anecdotes about using Claude as an automated “second brain” for business and product work. It heavily emphasizes:

• Prompting
• Agent orchestration
• Knowledge/memory
• Always-on infrastructure (VPS 24/7)

The creator claims the approach is transformative (“before/after”), producing higher-quality outputs and faster iteration.

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Core Technological Idea: Claude as a Multi-Agent Iterative System

Instead of treating Claude like a single chatbot, the workflow frames Claude as a team of specialized agents that internally debate and refine output quality.

Key themes:

• Iteration / feedback loop: Claude uses new information from each interaction to improve future outputs.
• Root-cause focus: don’t just ask for symptoms—push Claude to find the underlying cause and fix it “forever.”

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“Head of Common Sense” Team / Multi-Agent Roles

A central feature is using an internal “team” where outputs are checked by multiple roles. Example agents include:

• Head of Common Sense (with multiple variants) Catches minor inconsistencies; even “contradictions” between common-sense agents are positioned as beneficial.

• Devil’s Advocate Challenges wrong assumptions, finds blind spots, blocks misaligned objectives.

• Money Maker / CMO / Copy Chief / Copy Editors A & B Focus on business outcomes and improve messaging via contrasting viewpoints.

• CTO Likely handles technical planning/architecture.

• Compliance / ad-policy checks Example: “act like the Facebook Ads robot” to detect banned content.

• Skipper / database-aware agent Knows the knowledge base and prefers retrieved facts.

• Strategist Provides long-horizon thinking (e.g., 24-month vision) and risks.

• Vertical expert (e.g., “Peptide expert”) Adds domain-specific knowledge.

They describe enabling the “team” when outputs are important (e.g., funnels), so agents debate “around a table.”

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Prompting Strategy: Menus, Choices, and Structured Questions

The creator’s prompting guidance focuses on clear constraints and preference controls, including:

• Prefer multiple-choice questions
• Ask whether the user wants Option A vs Option B
• Request clarifications only when necessary

Claimed benefit: less back-and-forth and more relevant output.

For complex tasks (like debugging or automation), Claude should use structured questions to manage branching decisions.

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Model Orchestration to Save Tokens (Reasoning vs Execution)

The workflow separates tasks by model mode to reduce cost and waste:

• Use one model for reasoning (referred to as Fable)
• Use other models (e.g., Sonnet / Opus) for execution and concrete tasks

Rationale: don’t force heavy “reasoning” models to do expensive work like scraping when a lighter model can handle execution.

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Knowledge + Memory: Obsidian KB with MCP-Based Retrieval

The setup proposes a connected knowledge system:

• Obsidian acts as the “brain” / knowledge base
• Integrated through MCP (or MCP-like connectors) so Claude can retrieve information from stored documents

Example workflow described:

1. Connect Obsidian ↔ “Cloud Code” (their phrasing)
2. Claude should “reason only on that” knowledge
3. If information isn’t present, Claude should explicitly say it doesn’t have it instead of hallucinating

They also contrast this approach with alternatives (e.g., “Google Notebook LLM” and other cloud project systems), positioning Obsidian + MCP as superior.

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Automation of Reading / “Speedrunning Learning” via Claude + Corpora

A major tutorial theme is using Claude to create a new “summary book” in the style of Alex Hormozi / Alex Morzi.

Pipeline described:

• Gather a corpus of books (and optionally YouTube transcripts)
• Provide the corpus to Claude so it produces content that is:
  • pleasant to read
  • punchline-rich

Example steps mentioned:

• Scrape book recommendations (e.g., from Goodreads/Reddit, using a scraper)
• Download PDFs (Z-Library is mentioned as personal practice)
• Claude reads word-by-word
• Optional: a “word-count validation” agent checks completeness
• Incorporate YouTube transcripts instead of manual watching

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Debugging Approach: Fix Root Causes, Not Symptoms

A recurring example is a tool/video glitch where the creator claims Claude identifies the underlying cause and “fixes it forever,” rather than treating symptoms.

They generalize this to computer issues:

• If the computer lags/overheats, don’t only delete files
• Instead, investigate root causes (e.g., browser/process usage) and apply the targeted fix

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“Master Prompt” to Bootstrap the System + Shared Memory Across Chats

A key deliverable is a master prompt that sets behavior and persistence requirements, including:

• Claude acts like a “lazy man” who wants buttons and clickable choices
• Claude maintains a shared memory system across chats (doesn’t reset context each chat)
• Claude creates/updates local “webpages” representing a “belief system”
• Claude writes in the Hormozi style
• Claude asks clickable questions to start a self-feedback loop

The creator stresses that persistence across chats requires VPS + Obsidian + MCP.

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VPS 24/7: Persistence + Retrieval Across Sessions

Infrastructure guidance includes:

• A VPS ensures Claude/chat context and files remain persistent and shareable
• Configure:
  • Cloud/Obsidian integration via MCP
  • a website/landing flow (example includes Cloudflare-like setup and custom domains)
  • periodic monitoring/alerts

Monitoring example:

• Set alerts for funnels (e.g., roughly every 6 hours) when stats drop or pixels disconnect, reducing “cortisol” by automating detection.

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Product / Automation Tooling Suggestions

Additional tools mentioned:

• Chrome extension: used as the default way to interact
• A “web page” builder / hosting setup for landing pages and offer deployment:
  • buy domain
  • change DNS
  • redirect checkout
• Amphetamine: keeps machines awake overnight for long-running tasks

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Business / Marketing Analysis Embedded into the Workflow

The system is repeatedly tied to conversion results, emphasizing money-making over vanity metrics. Marketing answers are evaluated by whether they:

• cut an ad,
• sign deals,
• or produce measurable results within ~7 days

Feedback capture is also described:

• Reward genuine reviews
• Capture real comments rather than inventing them

They also mention an offer simulation idea:

• Use buyer avatars/simulations with a score out of 100 to pre-test offers.

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Main Speakers / Sources (as Mentioned in Subtitles)

Main speaker

• Malic (Mal / Malic Bench — creator of the method)

Referenced sources / people / topics

• Émile (friend who invited him to Vegas)
• Alex Hormozi / Hormosi (writing style + “style transfer” target)
• Russell Brunson (ClickFunnels / FHL mention)
• “Mathieu Meg” / JREGON (referenced as a podcast/content source)
• Ty Lopez (stage/persuasion examples)
• Naval (reading advice/learning mindset reference)
• Others referenced indirectly:
  • Squeezie (entertainment comparison)
  • CEOs / “Diary of CEOs” (attention-business example)
  • Valé Vegas (copying what works)
  • Peter Kell (VSL) (mentioned in passing)

Note: Andrew Huberman is explicitly described as not mentioned in the provided subtitles.