I recently built an automation system designed to solve a common business problem: leads coming in but follow-ups getting missed. 🔧 My Approach I connected GoHighLevel + CRM + Workflow Automation + AI/n8n to create a simple lead management system: Lead Capture → Instant Response → Qualification → Automated Follow-Up → Pipeline Update → Human Handoff The goal is simple: make sure every lead gets the right response at the right time, while reducing repetitive manual work. 💡 What I Do I help businesses build: - GoHighLevel CRM & workflows - Lead generation & sales funnels - AI-powered automations - n8n integrations - Lead nurturing & follow-up systems If you're dealing with missed leads, manual follow-ups, or repetitive tasks, let's connect. I’d be happy to explore what we can automate. 🤝

I've started keeping things much simpler. chatgpt.com - learn concepts and experiment with prompts claude.ai - go deeper when I'm working through something complex Then I just keep whatever I'm actually learning or building organized somewhere instead of letting it disappear into old chats. I've been trying floment.ai for that lately, mostly for keeping projects and next steps together. Learning one useful workflow deeply has been way more valuable than knowing 30 tools on the surface. How do you decide which AI tools are actually worth sticking with?

Everyone posts their time savings. Nobody says what happened to the time. Be honest - the hours you got back went somewhere. Vote, then drop a comment on where yours went. I'll break down the one thing that separates people who compound their savings from people who just quietly absorb them 👇

Hi everyone! I recently started getting serious about learning AI, especially AI agents and automation.My goal isn't just to learn different AI tools, but to eventually use them to solve real problems and build something people would actually pay for.I'm still at the beginning, but I'm excited to learn by actually building instead of just consuming tutorials. Looking forward to seeing what everyone here is working on!

There are so many AI tools coming out that it's ridiculously easy to spend all your time learning about AI without actually getting better at using it. New model drops. New agent. New automation tool. New “game-changing” platform. And suddenly you've got 30 tabs open and haven't actually built anything. I've been trying a different approach: Pick a tool → learn one useful workflow → actually use it → move on. For example: - ChatGPT/Claude for research, writing, brainstorming, and problem-solving - AI image/video tools when the project actually needs them - Automation tools for repetitive tasks - Floment for keeping projects, tasks, and experiments organized - AI agents once you understand the basics well enough to make them useful I think that's what makes practical AI education so much more valuable than just keeping up with every new release. You don't need to know every tool. You need to know how to turn a tool into something useful. That's where the real skill is. Anyone else feel like the hardest part of learning AI right now is figuring out what not to learn?