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24 contributions to Content Academy
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9d •
Launch 20+ AI Coding Agents in SECONDS (Claude Code CLUSTER)
Hey Academy! To get support join the AI Architects! I built a free AI coding platform that lets you spin up a 20-person dev team in under 60 seconds—and manage everything from your phone. In this video I'll walk you through the PopeBot's new cluster mode, where you can create teams of AI agents that work together automatically. You'll see how to define roles like CTO, security expert, UI/UX designer, and developer—each with their own system prompts, triggers, and concurrency settings. Connect it to GitHub and your agents will pick up issues, create technical plans, review code, and submit pull requests without you lifting a finger. I'll also demo the new Claude Code interactive and headless modes, show you full mobile support for coding on the go, and walk through the complete setup process so you can launch your own cluster for free.
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6 likes • 9d
???THIS is AMAZING, can this Agent post ads in FaceBook, CraigsList, and others, and update the posts each week ? @Stephen G. Pope
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2 likes • 7d
@Clance Hoskin Look forward to it coming out
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4 likes • 13d
Wow sounds exciting
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2 likes • 12d
I love the robot/popebot video awesome...
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18d •
New AI Agent Builds It's Own AI Content System (and Skills)
Hey Academy! For a more in-depth discussions join the AI Architects. I built an AI agent that replaces n8n, Make, and OpenClaw. You give it a project, it builds the skills it needs, then finishes the job—all on its own. In this video, I walk through the entire process: giving the PopeBot a real project, watching it build an Airtable content system, generate AI images, create Google Docs, and link everything together automatically. You'll see how it creates new skills from scratch, stores credentials securely, and submits changes for your review through GitHub. I also cover the full install process step by step so you can set up your own self-improving AI agent. By the end of this video, you'll have a working system that builds its own tools and runs 24/7.
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5 likes • 18d
This is amazing, Hope to have time to look at this but that sounds fantastic I don't really like N8N or make Thanks for sharing
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20d •
Look How I Made Junk. 100x Faster.
AI lets you do things you never could before. That's the problem. You made an image. A video. A mobile app. A program. Something you never could have built on your own. And it is cool. For a moment, it genuinely is. You look at it and think, "I made that?" There's a rush to it. A real one. So you show your friends. You show your mom. They're impressed — not necessarily because the thing is great, but because you made it, and because it shows them what's now possible. That reaction feels like validation. It isn't. Here's what's actually happening: AI gave everyone a production studio. It did not give everyone taste, ideas, or an audience that cares. Scroll through any feed right now. AI-generated images. AI-generated videos. AI-generated everything. Most of it stops no one. Most of it moves nothing. Most of it is, from a consumer standpoint, junk. Not because the quality is low — the quality is often stunning. It's junk because nobody asked for it. Nobody was waiting for it. Nobody will pay for it or share it or come back for more. The stuff that does go viral? That does sell? A creative made it. Someone who understood what people actually want to look at, watch, or buy — and then used AI to execute faster. The tool wasn't the advantage. The idea was. This is where most people are getting it backwards. They're so dazzled by what AI enables them to produce that they've skipped the only question that matters: does anyone actually want this? Your friend liking your post isn't product validation. Your mom saying "that's so cool" isn't market demand. Interest in what AI can do is not the same as interest in what you made with it. So here's the move: Enjoy the magic for a moment. Genuinely. It is remarkable. Then put it down. Disconnect from how cool the tool is and get back to the hard part — the part AI can't do for you. Come up with a good idea. A creative idea. Talk to real people who would actually buy what you're building. Post something and watch whether it actually performs, not whether your circle gives you a polite pat on the back.
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7 likes • 20d
You are so right we make all this stuff and it is cool I love the post and the insight So what do we do with it..... How do we package it and sell it.. It's quick easy...
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26d •
I Built a FREE OpenClaw (no Mac Mini or API Fees)
Hey Academy, For a more in-depth discussions join the https://www.skool.com/ai-architects I built a fully autonomous AI agent that runs 24/7 on your own computer using completely free local models—no expensive API fees or cloud subscriptions required. In this video, I'll give you a live demo of the new web chat interface, walk you through the one-step install process, and explain the full architecture behind it. You'll see how to set up your agent's heartbeat for scheduled tasks, manage jobs through the swarm control center, and monitor everything with built-in notifications and approval workflows. I'll also break down how Docker, GitHub Actions, and ngrok work together to make this system secure, scalable, and completely transparent. Whether you run it locally or deploy to the cloud, you'll have full control over what your agent does. By the end, you'll have your own free AI agent up and running.
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3 likes • 23d
Here are the steps TO DO LIST BreakDown 1. Run the setup command: Open a terminal on your computer, paste the starting code found in the video's description, type npm run setup, and name your project. 2. Create a GitHub repository: The setup tool will help you create a place to store and track your code. When prompted, let it open the GitHub page, create your repository, and then paste the repository link back into your terminal. 3. Get your GitHub API key: The system needs a special passcode (token) to automatically make changes for you. The setup will open the right page where you must give the token "read and write" permissions for Actions, administration, contents, pull requests, and workflows, and then paste that token into the setup. 4. Connect your free AI model: Choose the "local" setup option so you do not have to pay fees. You will need to paste an internal Docker URL (which is provided in the instructions) to connect your system to a local AI program like Ollama, and then pick your default AI model. 5. Enable web search: You will be asked if you want to use Brave Search, which lets your agent search the web and makes it much smarter. Say yes, create a free account, and paste the API key it gives you. (You can safely say "no" when it asks for an open API key for voice messages). 6. Set up Ngrok to get past your firewall: Because your home computer has a firewall that blocks outside signals, you need a free tool called Ngrok. In a separate terminal window, start it by typing enrock http80 (Ngrok), create your free account, and paste the link it gives you back into your main setup window. 7. Start your Docker containers: Once the setup finishes building, copy the final command it gives you and run it in your terminal. You can open your Docker Desktop app to verify that your system's containers are successfully running. 8. Log in and start chatting: Copy the web link that Ngrok gave you and open it in your internet browser. Create your one-time admin account with a strong password, sign in, and you will be taken to a beautiful chat interface where you can send your first message to your new AI agent!.
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Active 5h ago
Joined Jun 10, 2024
Redondo Beach
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