Today I am working on a full scale recruitment automation for a specialist food and beverage plus entertainment recruitment agency This is not a basic setup Everything is already designed documented and specced out My job here is pure execution building exactly to specification The system is made up of eight connected Make workflows that handle everything from CV parsing to candidate ranking invoicing outreach syncing and commission calculation Gmail Drive Airtable Sheets Claude AI PDF extraction and outreach tools all talk to each other without manual work CVs dropped into Gmail are parsed and classified by AI and written into Airtable and Google Sheets at the same time Role context is built automatically from job descriptions transcripts and decks LinkedIn PDFs are ranked by AI against full role context and shortlists are generated and emailed Invoices are generated and sent when placements are confirmed Calls transcripts update records Outreach CSVs sync stages Commissions are calculated and recruiters are notified The Airtable setup is just as deep with linked tables recruiter views manager views and automated calculations that run quietly in the background What makes this project interesting is the level of reliability required Every workflow has error handling Failures trigger owner alerts Everything is tested end to end with real data before handover This is a great example of how Make can be used to replace an entire recruitment operations team with clean well designed automation that actually scales

Last month: $1,072.32 This month (ongoing): $37,861.58 💰 No virality. No dancing on camera. No “hoping” to blow up. Just a structured YouTube Revenue Automation Model built for scale. When you stop chasing views and start building systems, income becomes predictable. This is what happens when: ✅ You pick the right niche ✅ You use automation strategically ✅ You focus on monetizable content ✅ You build assets, not just videos Most people post for attention. We build channels that print revenue. If you’re tired of guessing and ready to understand how automated YouTube channels are generating real income… 👇 Check under the comments 🔗 Join our Telegram Channel 🖇️ Join our Teams Latest Update WhatsApp Channel Link Learn the blueprint. Apply the system. Scale the results. Your February can look different.

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 ?

Today I worked on stabilizing an Airtable to Email automation that was failing due to validation errors. The workflow itself was simple Airtable trigger to email send but the details were causing issues. Errors like invalid email address and array of objects expected usually mean the data structure is slightly off even if it looks correct on the surface. The first step was making the automation future proof by switching all Airtable mappings to Field IDs instead of column names. That way the scenario will not break if fields are renamed later. Then I rebuilt the To CC and Reply To logic properly. Instead of raw strings I used correct array formatting with split flatten deduplicate and remove. This ensured empty fields do not create invalid values and a fallback email is always included without breaking the module. Finally I added basic checks so the workflow never attempts to send an email without a subject or body. This was not about adding complexity. It was about making the automation reliable predictable and safe to run in production.