Everyone’s talking about “AI videos” and “AI course creation”…but very few actually understand how powerful it really is. Right now, people are using AI to: Turn one idea into a full video course in a single day Generate lessons, scripts, and even their own AI instructor Create engaging video content without needing to be on camera Launch courses faster than ever (and still keep that personal touch) And here’s the wild part: Most of them aren’t professional creators… they just know how to use AI tools the right way. So here’s my question for you: If AI could help you create and launch a course in days (not months)…would you try it, or do you still prefer the traditional “record everything manually” approach? Drop your honest thoughts below Let’s see how ready everyone here is for the next level of course creation.

Real Talk: AI isn’t replacing people; it’s replacing excuses. One person using AI can do the work of five… while others keep saying it’s “taking jobs.” But here’s the real question: If AI can write emails, edit videos, and even close deals…what’s the ONE thing humans will always do better than AI?

The AI Shift No One’s Talking About (Yet) Most people are still trying to create content manually… while a few are quietly using AI video automation to produce 10x more content in the same time. Imagine this, you record ONE short video → AI automatically: Cuts it into reels, Write your captions & hooks, Schedules them across platforms, Tracks which clips actually bring leads That’s not coming soon. That’s already happening right now, and a few creators are absolutely dominating with it. Here’s the wild part: They’re not even great on camera. They just understand how to automate the system. So here’s my question to you: Would you rather spend hours editing every video manually…or build a workflow that does 80% of it for you while you sleep? Drop a 🔥 if you’d love me to share the exact AI tools and automations I use to make this work.

In this video, I compare OpenAI’s new AgentKit to n8n to see how they stack up against each other. We’ll go over what each platform is, how they work, and what makes them unique. I’ll walk you through how to access and set up AgentKit, explore its features, and then put both tools head-to-head across different categories. I also score each one so you can clearly see their strengths and weaknesses. Most importantly, I’ll help you figure out when you should use one over the other, because the truth is, they’re built for different purposes and appeal to different types of builders. Whether you’re just getting started or already deep into automation, this video is a full, easy-to-follow guide to help you choose the right tool for your next project.

I built an AI agent that monitors my entire IT infrastructure and fixes problems before I even know they exist. Here's what's wild about this: Most monitoring tools just scream at you when something breaks. Terry actually investigates the problem, figures out what's wrong, and asks permission to fix it. All through Telegram. Right now it's watching: - Website uptime - Network bandwidth hogs - Virtual machine status - Media server activity - VoIP phone systems - Security cameras When my web server went down at 2 AM last week, I woke up to a message that said "Docker container crashed. I restarted it. Everything's back online." Not an alert. A solution. The permission system is the key. Read-only commands run automatically. Anything that could break stuff waits for approval. So I get intelligent diagnostics without the risk of an AI going rogue on production systems. Built this on n8n with OpenAI powering the decision-making. Total cost is about two bucks a day for 24/7 monitoring and intelligent incident response. The real insight here: This pattern works for way more than IT monitoring. Customer support systems that investigate issues before escalating. Financial processes that trace discrepancies automatically. Quality control that correlates defects with production variables. Supply chain monitoring that explores alternatives when delays happen. Anywhere you have monitoring that triggers human investigation, you can replace it with an AI agent that investigates first and only involves humans for decisions. The frameworks exist. The AI is capable. The cost is negligible. What's missing is just reimagining what monitoring can be when it's actually intelligent. Anyone else building agentic systems for infrastructure or business process monitoring? Would love to compare notes on how you're handling the autonomy vs. safety tradeoff.