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2026-09-21
2개 영상
2026-09-21 06:00 생성
WTF is Gods Eye AI?
Nicholas Puru 2026-09-21 설명 기반
WTF is Gods Eye AI?
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핵심 요약

'Gods Eye AI'는 시스템 전체를 조망하며 실시간 데이터 수집, 모니터링, 자동 의사결정을 일괄 제어하는 전지적 AI 오케스트레이션 개념을 다룬다. Nicholas Puru 채널의 핵심 주제인 AI 에이전트 자동화 워크플로우와 결합하여, 여러 하위 에이전트를 상위에서 통합 지휘하는 차세대 자동화 시스템의 구조와 활용 방식을 설명한다.

주요 포인트

  • 전체 시스템과 데이터를 한눈에 파악하고 실시간으로 상태를 추적하는 전지적 감시·제어형 AI 아키텍처 소개
  • 단일 작업을 넘어 여러 AI 에이전트를 상위에서 조율하고 지휘하는 멀티 에이전트 오케스트레이션 전략
  • 실시간 데이터 흐름을 기반으로 병목을 감지하고 즉각적인 작업 분기를 실행하는 자동화 메커니즘
  • 복잡한 비즈니스 프로세스를 중앙 집중식 AI 통제탑 구조로 전환해 확장(Scaling)하는 실전 방안 제시
Build & Sell with Codex (5+ Hour Course)
Nate Herk 2026-09-21
Build & Sell with Codex (5+ Hour Course)
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핵심 요약

비개발자 출신 창업가가 코딩 지식 없이 코덱스(Codex)를 활용해 월 수십만 달러 규모의 AI 비즈니스를 구축하고 판매하는 노하우를 다룬다. 코덱스 데스크톱 앱 설치부터 AI 운영체제 및 세컨드 브레인 구축, 자동화, 웹/디자인 및 클라이언트 납품까지 전 과정을 포괄한다. 월 구독료는 단순한 지출이 아니라 여러 명의 직원을 채용하는 것 이상의 가치를 내는 생산성 투자임을 강조한다.

주요 포인트

  • **비개발자의 AI 비즈니스 확장**: 코딩 지식 없이도 AI를 활용해 월 40만 달러 이상의 매출을 내는 시스템과 클라이언트 판매 전략 전수
  • **코덱스 데스크톱 앱 권장**: VS Code 확장이나 CLI 방식보다 브라우저 연동 및 루틴 작업에 최적화된 데스크톱 앱 환경 활용
  • **구독 모델의 가성비**: 월 200달러 플랜 기준 약 14,000달러 상당의 추론 가치를 제공해 가성비 높은 직원 채용 효과 제공
  • **실전 제작 및 자동화 스킬**: 브랜딩 산출물 제작, 웹/이미지 디자인, 영상 편집, 업무 자동화 등 실무 스킬 구축
  • **Work 대비 코덱스의 확장성**: 단순 지식 업무 툴(Work)의 기능을 모두 포함하면서도 훨씬 더 강력한 작업 수행 가능
I'm about to take you from a complete beginner to a pro AI builder with Codeex. And you don't have to have a technical background at all. My name is Nate. I have no technical background. And I started using AI about two years ago. And in that time, I had an AI consultancy that we scaled to over $100,000 a month. And then I exited that business. And now across my different business units, we generate an average of over $400,000 per month because we all use AI so well. And none of us are actually like coders or anything like that. So in this course, I'm going to show you guys how to install Codex. I'm going to talk about the core concepts. I'm going to talk about how you turn it into your AI operating system and your second brain. We're going to go over things like skills. We're going to build some together. We're going to go over how you create deliverables that are branded and feel like it's coming from you and feel like it's coming from your company. We'll go over images. We'll go over design websites using the browser using Codex to edit videos, using codeex to build automations. We'll even address the whole codeex versus cloud code debate. And by the end, not only will you be a pro AI builder, but you'll also know exactly how you could go off and sell this kind of stuff to clients. So, there are going to be timestamps down below. Feel free to skip around to what interests you. Save this video so you can come back to it for later. And now, let's not waste any time and just get straight into this one. All right, so we're going to go ahead and get started with installation. You're going to open up Google and you're going to type in cloud code. Wait a minute. That was so 3 months ago. No, I'm just kidding. But it is funny how Chad GBT also pops up right here. So, you're going to type in Chadbt or Codeex. I'll show you what that looks like. I will just type in codeex install. And then you see right here, ChadBt Codeex because Codex is a product of OpenAI and Chad GBT. So, this is what it looks like. What you're going to want to do is just download this for your operating system. So right here I would click on download for Windows and then I would go through the installer to get the codeex desktop app. Now this actually will be called the chatbt desktop app but we're going to be using codec. Now if you do use VS code already or you use cursor or something like that and you'd rather run codec through the IDE extension or through the CLI then you certainly can do that. But I love the desktop app. I think that they're bringing it in really really nicely with their browser use and their sites and routines and everything like that. And the rest of this course we're going to be using the Codeex desktop app. So, if you want it to all look the same, then just go ahead and download the app real quick. Now, once you're inside here, it's going to look like this. You're going to have two different tabs up top right away. You'll see chat and work, but then on the lefth hand side, you will switch over here from chatbt, which is chat and work to codeex. And if you do have a chatbt subscription already, like you're paying 20 bucks a month or 100 or 200, that's the same exact subscription. So, you won't have to make a new account, but if you are currently on a completely free account for OpenAI or for Chatbt, then I would at least get on the $20 a month plan right now. And if you start to blow through your usage, then just go ahead and upgrade. Because the way that this works is you can see in the bottom left, you can see that I have 94% left and I'm currently on the $200 a month plan for Codex. And so if I use this up within the week, then I would just basically have to wait till it resets. Or I could pay per usage API billing, which is just a little bit more expensive than being on the subscription. The subscription of Codeex actually gets you about $14,000 of inference if you use the entire subscription. So, it's it's really really cheap for being on the subscription, paying $200 a month, and I'm getting about $14,000 of usage out of it. And I know that 200 bucks a month or 100 bucks a month may seem expensive relative to subscriptions, but we're not paying for Netflix here. We're not paying for entertainment. We're paying for productivity. We're essentially treating this as the cheapest hire you will ever make. $200 a month for the output that multiple hires would give you if you start to use it right, which is why you're investing time in this course right here. Anyways, before we get into this, I wanted to address one question, which is okay, why would I use codeex over something like work? Because work is kind of marketed as like for knowledge work for nontechnical people, blah blah blah. I think it's good that they're doing that, but ultimately it's one of those things where codecs can do everything that work can do and it can do more. So, why would you not just invest the time learning codecs because it's basically th