I’ve been getting this question a lot lately. With AI automations becoming easier to build with AI, and OpenAI releasing AgentKit, people are wondering if n8n is even worth learning anymore. But here’s the truth: if I had to start all over again knowing nothing, I’d still learn everything I could about n8n. Because when you learn n8n, you’re not just learning one tool, you’re learning how systems think. You start to see how triggers connect, how data flows, and how logic turns into results. And once you understand that, you can jump to any platform in the world and master it instantly. You become tool-agnostic, and that’s where the real freedom lies. When you learn how to build workflows yourself, you also learn lessons that can’t be taught through flashy AI demos. You start to see what automations can really do, how reliable AI actually is, and what’s possible when you combine logic with creativity. You learn how to build systems that save time, cut costs, and actually work in the real world, not just on paper. That skill separates you from everyone else trying to sell the same thing. Because when clients hire you, they’re not hiring you to drag nodes on a screen, they’re hiring you to think like an automator. They want someone who understands the logic behind the system, can identify what’s going wrong, and knows how to make it better. The people who skip this step, the ones relying entirely on “AI agents that build workflows for you”, are like someone trying to sell a cake after only seeing a picture of it. They don’t know the ingredients, how it was baked, or even the flavor. So when they try to explain it to others, they sound the same as everyone else. But when you’ve actually baked the cake yourself, you can describe the flavor, the texture, the process, and that builds trust. And in this space, trust is everything. Automation is one of the few skills in the world that directly compounds over time. Once you know how to identify bottlenecks, map processes, and connect systems, you can apply that skill to any business or industry. And the ROI is real, recent studies by Deloitte and McKinsey show companies that invest in automation see up to a 30% reduction in operating costs and often double or triple their productivity within months. The people who understand how to build and maintain these systems are the ones leading that transformation.

I am working on running a tournament where I receive scanned forms via email, which I want to automate to respond back acknowledging the email also then scan the entries and add them into an excel of all the entries with their details ies name, email id, and the events they opted ies U12, U14 etc singles or doubles etc with any notes as a separate column.. any ideas how do we start with this type of application. Any support would be much appreciated

In this video I'll be telling you guys, why no one is buying your ai agents, and exactly how to fix it. And I know this works, because I used this exact method to fix my fix my own business. So grab a pen and paper, and take some notes. Hope you enjoy!

In this video I'm gonna be showing me live selling $6,000 AI Workflow to a business. I'll be reacting live, and diving deep into the good and the bad parts of these sales calls, and using my knowledge to help improve your sales skills when selling AI workflows in the future. If you enjoy this type of content and want to dive deeper on monetizing your AI automation knowledge, let's chat here. Hope you enjoy!

A client reached out with a problem many professionals face, spending endless hours manually searching LinkedIn for job opportunities. The process was draining, repetitive, and often led to missed chances. To solve this, I designed a custom automated workflow that scrapes LinkedIn job postings, processes the data, and organizes everything into a clear, actionable format. Each step of the workflow was carefully mapped out, from extracting the listings, to cleaning the information, and finally structuring it in a way that’s easy to track and use. The tools I used focused on automation, web scraping, and data handling, making the entire process seamless. Once set up, the system ran in the background with minimal supervision, continuously pulling in new opportunities. The outcome was a complete shift, instead of wasting hours on repetitive searches, the client now has a reliable stream of relevant job listings. The feedback was simple: relief, efficiency, and a lot more time to focus on applying and networking rather than scrolling. This project was a good reminder that the right automation doesn’t just save time, it creates freedom to focus on what actually drives results.