Comment “BRAIN” for the in-depth guide (the setup, the folder structure, and the exact prompts you

Zach Geleott | AI & Claude · Intermediate ·🧠 Large Language Models ·2w ago

About this lesson

Comment “BRAIN” for the in-depth guide (the setup, the folder structure, and the exact prompts you can steal)👇 Most people are using AI completely wrong. They open Claude, ask a question, get an answer, and close the tab. The AI forgets everything the second you leave. An AI second brain fixes that. It’s a folder on your computer that knows everything about you, your business, your projects, your ideas… and it never sleeps, never forgets, and gets smarter every single day. All you need is Claude and Obsidian. Three steps and you’re running. This is the highest-leverage move you can make with AI right now. Build it today and it compounds forever. #ai #claude #aisecondbrain #aitips #obsidian

Original Description

Comment “BRAIN” for the in-depth guide (the setup, the folder structure, and the exact prompts you can steal)👇 Most people are using AI completely wrong. They open Claude, ask a question, get an answer, and close the tab. The AI forgets everything the second you leave. An AI second brain fixes that. It’s a folder on your computer that knows everything about you, your business, your projects, your ideas… and it never sleeps, never forgets, and gets smarter every single day. All you need is Claude and Obsidian. Three steps and you’re running. This is the highest-leverage move you can make with AI right now. Build it today and it compounds forever. #ai #claude #aisecondbrain #aitips #obsidian
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

⚡
How We Translate 300-Page Books Using Claude Without Hitting Token Limits
Learn how to translate long documents using Claude without hitting token limits by breaking them into overlapping chunks
Dev.to · 龚旭东
 ⚡
Building HITL Feedback RAG: Embeddings, Retrieval, and Reranking
Learn to build a Human-in-the-Loop (HITL) Feedback RAG system using embeddings, retrieval, and reranking to improve model performance
Medium · AI
 ⚡
Building HITL Feedback RAG: Embeddings, Retrieval, and Reranking
Learn to build a Human-in-the-Loop (HITL) Feedback RAG system using embeddings, retrieval, and reranking to improve LLM performance
Medium · LLM
 ⚡
A simple way to test model fallbacks with RouterBase
Learn to test model fallbacks with RouterBase using a simple fallback wrapper and OpenAI-compatible API surface
Dev.to · routerbasecom
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →