What's the Biggest Time-Waster in Your Business Right Now? One thing I've been noticing while learning AI and automation is that every business has at least one repetitive task that eats up hours every week. It could be: Replying to the same messages Following up with leads Organizing data Creating content Scheduling meetings Updating spreadsheets Most people accept these tasks as "just part of the job." But many of them can be simplified with the right workflow or automation. I'm trying to get better at identifying these opportunities, so I'm curious: If you could eliminate ONE repetitive task from your business or workflow tomorrow, what would it be? I'd love to see what everyone is working on, and I'm sure we can all learn from each other's answers.

When I first started learning AI, my question was: "What should I learn next?" Lately, I've been asking a different question: "What can I build that someone would actually use?" That shift changed how I spend my time. Instead of chasing every new AI tool, I've been trying to understand: What problems businesses face What repetitive tasks could be automated What people would actually pay to have solved I'm still learning every day, but this mindset has helped me focus a lot more. I'm curious about everyone else here... What's one AI project you're currently working on—or planning to build—and what problem is it meant to solve? I'd love to hear what everyone's building and maybe learn something new from the discussion.

Hey, Over the past few months, I've been exploring different AI automation tools. Zapier, Make, and a few others all have their strengths. But recently, I decided to spend most of my time learning n8n. Not because it's the "best" tool. But because it matches where I want to go. I don't just want to connect apps. I want to build AI systems that can grow with me. The more I learned about AI agents and business workflows, the more I realized that flexibility matters. I wanted a tool that would let me experiment, make mistakes, and build more advanced automations over time. n8n gives me that opportunity. As a beginner, it's tempting to chase every new tool. I've done that too. But eventually, I realized that constantly switching tools was slowing my learning. So instead of learning five platforms at once, I'm choosing to go deeper with one. Maybe one day I'll use other automation tools more often. But for now, I think mastering one platform is a better investment than becoming average at five. That's the approach I'm taking. And I'll be sharing everything I learn along the way. Hopefully, it makes your own AI journey a little

Something I've Realized While Learning AI The more I learn about AI, the more I think beginners focus too much on tools. I know I did. At first, I wanted to learn: ChatGPT AI agents Automations Every new AI tool But recently I've been noticing something: The people getting results don't seem obsessed with tools. They're obsessed with solving problems. For example: Instead of asking: "What AI tool should I learn next?" They ask: "What problem can I solve?" That shift feels small, but I think it changes everything. I'm still learning myself, but this has been one of the biggest lessons I've picked up so far. Curious what everyone thinks: What's been the most valuable lesson you've learned while building with AI?

Everyone is chasing the next AI tool. But the biggest AI opportunity in 2026 isn't learning another tool, prompt, or agent. It's understanding where AI can create the most value. The people getting results with AI aren't necessarily the ones using the most tools. They're the ones applying AI to the right problems. In this video, I break down why the AI game has changed, what most people are getting wrong, and how businesses, freelancers, and creators can stay ahead.