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.

Hey Academy! Most AI agent platforms put your data at risk—so I built my own secure bot and I'm giving it to you for free. In this video, I'll walk you through the Pope Bot: a self-hosted AI agent that runs 24/7 using GitHub Actions and Docker containers. You'll see how to set it up from scratch, connect it to Telegram, and trigger jobs via API. I'll show a real example—building a financial advisor that does daily market research automatically. You'll also learn how the security architecture keeps your API keys and credentials safe using GitHub Secrets, how the bot logs everything to Git for full transparency, and how it can even analyze its own performance to improve over time. Step-by-step install included. ▸▸ The Pope Bot → https://github.com/stephengpope/thepopebot

Business isn't hard because it's complicated. It's hard because it forces you to do the things you don't want to do. Most people never figure this out. They spend years convinced they're missing the perfect strategy, the right tactic, the course that finally unlocks everything. They scroll, they research, they plan. And the whole time, they ignore what's sitting right in front of them — the most basic actions that actually move the needle. Pick up the phone. Make the call. Text the potential client. Create the content. Cut the expenses. Have the brutal conversation about money with your spouse. Tell your kids, "I can't come today." Nobody wants to hear this. I didn't either. The Search for the Secret I wanted the secret plan. I was searching for it — the hidden playbook that successful people weren't sharing. But here's what I learned: I wasn't going to wait for it. And the real breakthroughs in my life didn't come from a new framework or a better funnel. They came from facing fears and making hard choices. From uncomfortable conversations with real people about real things. That's it. That was the whole secret. Why Good Strategies Feel Wrong (after the excitement wheres off) Here's the thing about genuinely good strategies: they're boring and/or scary. They ask you to prioritize two or three actions, repeat them relentlessly, and get zero results at first. That's not a bug — that's the point. Good strategies work because they leverage an insight that no one else can sustain or are scared to do. The insight itself is usually simple. Obvious, even. It's an observation of how the system works and where the opening is. Anyone can see it. Almost nobody can execute it — because execution comes with fear, discomfort, and the constant temptation to quit and go find something easier. That's when it all falls apart for most people. Not at the strategy level. At the feeling level. What Actually Changed for Me I know all of this because I lived it. For a long time, I was the person refreshing my feed looking for the missing piece. Convinced that if I just found the right strategy, things would finally click.

Hey Academy! Have a bunch of really cool topics this week coming, tomorrow we'll talk about: Remotion.dev (new AI video generation tool) - Demo sample projects + prompts - AI images and videos with MCPs - Creating a media generation system (KSM 3.0)

Want a REAL production-ready n8n deployment? In this video we break down the n8n-aiwithapex infrastructure stack and why it’s a massive upgrade over a “basic docker-compose n8n” setup. You’ll see how this project implements a full queue-mode architecture with: - n8n-main (Editor/API) separated from execution - Redis as the queue broker - Multiple n8n workers for horizontal scaling - External task runners (isolated JS/Python execution) for safer Code node workloads - PostgreSQL persistence with tuning + initialization - ngrok for quick secure access in WSL2/local dev We’ll also cover the “Ops” side that most tutorials ignore: - Comprehensive backups (Postgres + Redis + n8n exports + env backups) - Offsite sync + optional GPG encryption - Health checks, monitoring, queue depth, and log management scripts - Restore + disaster recovery testing so you can recover fast - Dual deployment paths: WSL2 for local + Coolify for cloud/production If you’re building automations for clients, running n8n for a team, or scaling AI workflows, this architecture is the blueprint: separation of concerns, isolation, scaling, and recoverability. Youtube video: https://youtu.be/HzgrId0kgfw?si=0bzdvDgJW4dLApfi Repo: https://github.com/moshehbenavraham/n8n-aiwithapex