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Aug 27 •
🎓 An Important Update on Academy Levels
As our community grows, I'm going to start connecting some of our more advanced courses and resources to Skool Levels. Why? Because I don't want this Academy to become another place where people join, download information, and disappear. I want us to learn from each other. That means asking questions. Sharing what you're trying. Commenting on other members' ideas. Posting your results. Sharing what worked and what didn't. Helping someone when you have experience they can benefit from. Feel free to post anything else that adds value to the community. Some courses will remain available to everyone, while increasingly advanced content will be unlocked as you progress through the community. And as we grow, the quality and depth of the courses will grow with us. The goal isn't activity for activity's sake. It's contribution, learning, and progress. So don't just consume the Academy. Participate in it. Build with us. Help make it better. 🚀 And let's start right here: 👇 Which AI tools do you use most now?
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Aug 14 •
🔥Claude Cowork: From AI Assistant to AI Coworker PATH🤖
Claude Cowork is one of the most important shifts happening in AI right now, especially for people who don't want to become programmers. The simplest way to understand it is: - Claude Chat helps you think about the work. - Claude Cowork can actually perform the work. Anthropic describes Cowork as bringing the same agentic architecture behind Claude Code to everyday knowledge work, without requiring a terminal. Instead of answering one prompt at a time, it can plan a multi-step job, break it into pieces, use tools and files, execute the work, and return a finished result. 🧠 What does that actually mean? Suppose you have a folder containing: - 20 customer invoices - several Excel files - meeting notes - customer proposals - PDFs - sales reports - With ordinary Claude Chat, you might upload documents and ask questions about them. **With Cowork, you could give it a job** 🧑⚖️PROMPT: Go through these files. Organize the customers. Create a spreadsheet showing revenue by customer. Identify accounts that declined. Create a management summary and put the finished files in this folder.” Cowork can plan and execute those steps rather than merely explaining how you should do them. It can directly read and write files in folders you authorize, create spreadsheets, presentations, and documents, coordinate subtasks, browse websites, and use connected applications ''' That's the fundamental change: - Prompt → Answer becomes - Goal → Plan → Actions → Finished Work ❓Why should you care? Because this is where AI starts moving from assistant toward digital worker. 🧠Imagine saying: “Every Monday, review these reports, compare them with last week, identify anything unusual, and prepare my management briefing.” Cowork supports scheduled tasks that can run remotely even when your computer isn't online. Or: “Take these meeting notes and build the presentation for Friday.” Or: “Research these competitors, organize the findings, create a comparison spreadsheet, and prepare an executive report.”
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Aug 13 •
🤖 What Is Codex, and Why Should You Care?
If you have been using ChatGPT but have never touched Codex, this is for you. And don't worry. You do not need to be a programmer. I think the easiest way to understand Codex is this: ChatGPT helps you think and create. Codex can actually work on things with you. That is a big difference. With ChatGPT, you might say: “Help me figure out how to build this.” With Codex, you can move closer to: “Here is the project. Help me build it, change the files, check the work, and fix what isn't working.” That is why Codex matters. 🧠 So What Exactly Is Codex? Codex is OpenAI's AI coding and software-building agent. But don't let the word coding scare you away. You can communicate with Codex in normal English. You tell it what you are trying to accomplish, give it access to the appropriate project files, and it can work through the task. It can: 🔹 Read and understand project files 🔹 Create and edit files 🔹 Build websites and applications 🔹 Find and fix problems 🔹 Run tests 🔹 Research technical issues 🔹 Work through larger projects step by step 🔹 Use reusable instructions and Skills 🔹 Connect to other tools through things like MCP The important idea is not that Codex can write code. The important idea is that Codex can take action. ** That is the shift I want you to understand. 💡 What Problem Does Codex Solve? For years, we have used AI mostly like this: Ask → Answer → Copy → Paste → Do the work yourself Codex starts moving us toward: Describe the goal → Give context → Let the agent work → Review the result You are moving from simply talking to AI toward delegating work to AI. That is a very important skill to understand as AI continues to evolve. 🚀 10 Simple Steps to Start Using Codex 1. Get Codex running Start with OpenAI's desktop ChatGPT experience and access Codex from there. 👀 Tip: Don't worry about understanding every feature. Your first goal is simply to get comfortable opening Codex and looking around. 2. Sign in with your ChatGPT account Use the same OpenAI account you already use for ChatGPT.
3d •
🧠 LLM MASTERY LAB | PART 3 OF 5
Your AI Agrees With You. That Might Be the Problem. One of AI's most dangerous traits is how convincingly it can support a weak idea. Give it a business proposal and ask why it's brilliant. It may produce ten persuasive reasons. ✅ Ask why the same proposal could fail. Suddenly, it identifies problems you never considered. Which AI should you believe? Neither automatically. The objective isn't to make AI agree with you. It's to make your reasoning survive scrutiny. Let's experiment. 🧪 EXPERIMENT 1: Ask for Approval Write down a business idea, marketing campaign, sales strategy, or decision you're considering. Enter: "Evaluate my idea and explain why it could succeed." Read the response. Notice the arguments AI chooses to emphasize. 🧪 EXPERIMENT 2: The Intellectual Stress Test Open a fresh conversation with the same idea. Enter: "Act as an independent strategic review panel consisting of: - A CEO focused on long-term business value. - A CFO concerned about financial exposure. - A customer who questions the value proposition. - A competitor looking for weaknesses. - A skeptical industry analyst. Evaluate my proposal from each perspective independently. For every perspective, identify: 1. The strongest argument supporting the idea. 2. The strongest argument against it. 3. Hidden assumptions. 4. Evidence needed to validate the proposal. 5. A realistic failure scenario. Then synthesize the competing arguments. Identify the three most important weaknesses, propose ways to test them, and recommend whether to proceed, revise, or postpone. ✅ Do not manufacture agreement among the perspectives. Do not invent market evidence. Clearly distinguish hypothetical concerns from established facts." 🔍 HERE'S THE TWIST AI can simulate multiple perspectives, but that doesn't mean five actual experts reviewed your idea. It's still one model generating the discussion. That distinction matters. The value comes from exposing assumptions and generating better questions, not from pretending you have a real board of directors.
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5d •
🧠 LLM MASTERY LAB | PART 3 OF 5
Your AI Agrees With You. That Might Be the Problem. 🔥One of AI's most dangerous traits is how convincingly it can support a weak idea. Give it a business proposal and ask why it's brilliant. It may produce ten persuasive reasons. Ask why the same proposal could fail. Suddenly, it identifies problems you never considered. Which AI should you believe? Neither automatically. The objective isn't to make AI agree with you. It's to make your reasoning survive scrutiny. Let's experiment. 🧪 EXPERIMENT 1: Ask for Approval Write down a business idea, marketing campaign, sales strategy, or decision you're considering. Enter: "Evaluate my idea and explain why it could succeed." Read the response. Notice the arguments AI chooses to emphasize. 🧪 EXPERIMENT 2: The Intellectual Stress Test Open a fresh conversation with the same idea. Enter: "Act as an independent strategic review panel consisting of: - A CEO focused on long-term business value. - A CFO concerned about financial exposure. - A customer who questions the value proposition. - A competitor looking for weaknesses. - A skeptical industry analyst. Evaluate my proposal from each perspective independently. For every perspective, identify: 1. The strongest argument supporting the idea. 2. The strongest argument against it. 3. Hidden assumptions. 4. Evidence needed to validate the proposal. 5. A realistic failure scenario. Then synthesize the competing arguments. ✅ Identify the three most important weaknesses, propose ways to test them, and recommend whether to proceed, revise, or postpone. ✅ Do not manufacture agreement among the perspectives. Do not invent market evidence. Clearly distinguish hypothetical concerns from established facts." 🔍 HERE'S THE TWIST AI can simulate multiple perspectives, but that doesn't mean five actual experts reviewed your idea. It's still one model generating the discussion. That distinction matters. The value comes from exposing assumptions and generating better questions, not from pretending you have a real board of directors.
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