AI can now generate full apps from a single prompt. That’s impressive.. and genuinely useful. But there’s a quiet distinction that matters: building something isn’t the same as owning it. The moment an app touches real users, data, payments, or business processes, someone is responsible for: - what happens when it breaks, - what data it stores, - who has access, - and how mistakes are caught or rolled back. One-prompt tools remove friction in creation. They don’t remove accountability. In practice, the wins I see that last all have the same shape: AI builds fast, humans stay in the loop, and there’s a clear owner who understands the system well enough to say “stop” when something goes wrong. That doesn’t make one-prompt apps bad. It just means speed is a multiplier -> for both value and risk. Curious how others here think about ownership once AI starts building most of the surface area for us.

This season has a way of pulling your attention outward. You scroll. You compare. You start quietly wondering if you should be further along by now. But here’s the truth most people miss...what you focus on doesn’t just shape how you feel. It shapes how you build. You can focus on what feels missing and let that create frustration, pressure, and noise. Or you can recognize the abundance already supporting you and let that become fuel instead of friction. There are people with more money than they could ever spend who would trade it for the relationships, health, or peace you already have. That perspective matters because it keeps you grounded in reality, not comparison. And here’s where wisdom meets hunger. Gratitude isn’t a finish line. It’s the foundation. Hunger isn’t dissatisfaction. It’s direction. The most powerful place to build from is the space where you’re deeply grateful for what’s here and still hungry for what’s possible. That balance keeps you sharp without making you bitter. Driven without being depleted. So, where has your focus been going lately — lack or abundance? And how might your momentum change if you learned to hold both gratitude and hunger at the same time?

Sharing this because it matters if you run n8n on your own machine or server. A critical security issue was disclosed in n8n. In plain English: if someone can access a vulnerable n8n instance (for example via a user account), they may be able to run code on the system behind it. If you self-host n8n, check your version and update to a fixed release (the advisory lists the patched versions). If you use n8n Cloud, this is handled through the Cloud update process, so you usually don’t need to do manual server work. What to do: 1. Open n8n and check your version number. 2. If you’re behind the fixed versions listed in the advisory, update. 3. Updating should not erase your workflows, but making a backup before updates is always smart. If you can’t update today: Limit who can edit workflows and avoid exposing your instance publicly. Advisory: https://cyberpress.org/n8n-automation-platform-vulnerability/

I just published a simple 10-slide breakdown of the progression people go through when they learn to use AI — from “chatbot mode” to building your own personal operating system. If you’ve ever wondered why AI feels chaotic for some but life-changing for others, this will help you understand. Check it out — and tell me: Which level are you currently at ? Was it helpful ?

Hey everyone. I hope your holiday treated you better than mine. I just crawled out of a flu, and now that my brain is back online, this hit me: AI isn’t new anymore. What’s new is how loud the conversation got. I think we’re at (or near) peak AI hype — where expectations are running faster than what most people can actually deploy in a stable way. That doesn’t mean AI is going away. It means the noise is about to thin out. This happens with every major tech shift. There’s even a name for it (Gartner’s “Hype Cycle”): after the peak, flashy demos stop impressing, shortcuts stop working, and reality starts asking uncomfortable questions. Like: who owns this, what breaks, what happens on a bad day, and what’s the rollback plan? And honestly, that next phase is good. Because what survives isn’t “cool tools.” It’s boring, integrated, reliable use — AI inside a real workflow, with limits, approvals, and something you can debug when it fails. Value measured in time saved, errors reduced, or response times improved… not vibes. Curious where you’re at lately: more AI fatigue, or more clarity about where it genuinely helps?