I wanted to share a quick automation I built today. I created a Gmail AI email triage system in about 15 minutes using Make, Gemini, and Claude. Here’s what the workflow does: • Watches the Gmail inbox automatically • Gemini reads every incoming email and classifies it as Spam / Critical / Moderate Then it takes action based on the category: 🚫 Spam → Ignored (no action)🔴 Critical → AI drafts a professional reply and logs the email to Google Sheets🟡 Moderate → AI drafts a reply and saves it as a Gmail draft The scenario includes multiple modules, routing, and AI decision paths. The interesting part: I didn’t manually drag modules or build the structure step by step. I described the workflow, and the system generated the full automation scenario including module setup, filters, and connections. What still matters though is understanding how automation works. Knowing the logic behind workflows helps you review what AI generates and adjust it properly instead of just blindly running it. Curious to hear how others here are using AI to speed up building automations.

76,321,913 views. Over $411K estimated revenue. One automated content system. This is the power of the YouTube Revenue Automation Model. No filming every day. No being on camera. No chasing clients. Just the right niche, the right strategy, the right team — and a system that works 24/7 even while you sleep. Most people scroll past opportunities like this. Smart people study the model behind it. 👉 76 MILLION+ views didn’t happen by luck. 👉 $411K didn’t happen by accident. 👉 It happened by structure, consistency, and automation. This is not about hype. This is about building digital assets that pay you monthly. If one video can generate over $400K… Imagine what 5–10 automated channels can do. The question is not “Does it work?” The question is “Are you ready to start?” 💬 Check under the comments 📲 Join our Telegram Channel 🖇️ Join our Teams Latest Update WhatsApp Channel Link Let’s build your automated income stream the smart way.

Today I worked on an n8n automation that generates and publishes short form videos from simple image uploads The workflow starts when a client uploads a bird photo together with the bird name From there n8n automatically fetches an interesting fact about that bird and keeps it text only so it fits short form content perfectly One fun part of this build was audio handling I set up a rotating logic that cycles through six background music tracks sequentially so every new video feels fresh without repeating the same sound back to back The image the bird fact and the background music are then combined into a short video automatically Before anything goes live the video is sent to the client for approval which keeps full control in their hands Once approved n8n handles publishing to Instagram and TikTok without any manual steps This kind of automation is powerful because it turns a simple image upload into a complete content pipeline Creation review and publishing all handled in one flow It is a great example of how n8n can be used for content automation beyond just data and CRMs

One of the channels I’ve been building behind the scenes using AI-powered, faceless YouTube systems is already showing strong momentum 📈👇 📊 Channel snapshot • 👥 504K+ subscribers • 👀 72M+ total views • 💰 ~$89,000 generated so far No personal brand 🙅‍♂️ No camera setup 🎥❌ No daily burnout 😮‍💨 Just a repeatable system, consistency, and smart use of AI tools 🤖⚙️ If you’re still doubting whether YouTube really pays creators—especially those running faceless channels with AI automation—this is a simple reminder that it does ✅ And it rewards people who stay patient, improve their process, and think long-term 🧠⏳ What excites me most isn’t only the numbers—it’s seeing how content + systems compound over time when done correctly 📈 This channel is still growing, and more results are loading 🚀 I share insights, breakdowns, and lessons around faceless YouTube and AI workflows here (purely educational): 🔗 Telegram Community: https://t.me/youtubegrowthhubbyadeyemizainab 📩 Telegram DM (questions & clarity): t.me/zivayt Slow build 🧱 Smart systems ⚙️ Long-term wins 🏆 This is how 2026 is being shaped

Good morning everyone! After spending 2 years testing various AI development tools, I wanted to share my experience to help you save time and money. Disclosure: Some links below are referral links. 🏆 Top Tools Tested: - Replit - Manus - Lovable - Cursor - Claude Code My Top Recommendations 1. Replit - 9/10 Replit impressed me the most. With a single prompt, I built a fully functional real estate platform featuring: - User registration and authentication - Property listing system - Profile management - Image uploads - Clean, professional UI/UX - Zero bugs in initial deployment The polish and functionality right out of the box were remarkable. 2. Manus - Highly Recommended Using just 3 prompts, I created a comprehensive self-improvement web app tracking: - Workout routines - Sleep schedules - Health metrics - Goal achievement progress While the UI isn't as polished as Replit's output, the functionality is solid and works flawlessly. web app demo: https://rebourneapp-kk4y2c3m.manus.space/Referral link for manus: https://manus.im/invitation/UDSSKCGJRZTZQ6M 3. Lovable - Strong Contender Lovable has improved significantly and now offers competitive features. I've built my largest projects here, and it uses Supabase for the backend, which I've grown to appreciate. One caveat: You'll need Supabase MCP integration to work on Lovable projects in other tools like Cursor or Claude Code. However, once set up, these tools excel at adding features and debugging. Referral link: https://lovable.dev/invite/AD45UMY What's your experience with AI development tools? Any questions about these platforms? what is your favourite tool so far ?