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1h •
🚨 We're Hiring: Automation Support Specialists
We're looking for sharp n8n troubleshooters to join our AIS+ support team. The Role: You'll be the technical problem solver members turn to when their automations break. Most questions come in as screenshots or Loom videos. What We're Looking For: → Strong n8n and AI knowledge → Clear communicator who can explain fixes without jargon → Self-starter who can work async and manage their own queue Why This Matters: Your work directly impacts member success and retention. When automations run smoothly, members stay happy. 📄 Full job description + application HERE
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15h •
Want to get featured in front of 500,000+ people?
If you've sold an AI automation to a client, any tool, any industry, I want to hear about it. I'm collecting case studies to break down on the channel. This is your chance to build authority, get your brand out there, and showcase what you've built. 🎁 Bonus: I'll be analyzing all submissions and sharing the trends with you: what's selling, which industries are buying, and where the opportunities are. So even if you don't get featured, you'll benefit from the data. 👉 Fill it out HERE Takes 5 minutes. You can submit multiple projects.
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5d •
🏆 Weekly Wins Recap | Jan 9 – Jan 16
From multi-thousand-dollar deals to first real client automations, this week inside AIS+ was all about execution turning into confidence - and confidence turning into momentum. 🚀 Here are this week’s highlights inside AIS+ 👇 👉 @Nick Grijalva completed Phase 1 of an $8K client project, replacing hours of manual work with a clean file-sync automation. 👉 @David Kim closed a $11,795 setup + $7,732/month retainer, sharing powerful lessons on value-driven client calls. 👉 @Gerard Vazquez landed his first €1,500 end-to-end project after consistent outreach and free consults. 👉 @Kishan Shukla secured a contract role as an n8n AI Automation Engineer, turning skills into steady income. 👉 @Krishna A built an AI micro-SaaS for UGC ads, cutting ad creation time and cost dramatically. 🎥 Super Win Spotlight: @Jon Roth | First Client → Real Savings → Real Confidence Jon built his first professional automation for a niche 3D-printed auto-parts business. The workflow now saves the company ~$18,700 per year by replacing manual Shopify order processing and earned Jon $2,000 from his very first client. More importantly, the build gave him the confidence to pursue automation seriously, with multiple follow-up contracts already in motion. 🎥 Watch Jon share his journey 👇 Jon’s story is a reminder that one real build can change everything - confidence, direction, and belief in what’s possible. ✨ Want to start stacking wins like this? Join AI Automation Society Plus and turn learning into real builds, real clients, and real momentum 🚀
7m •
Academic Monitoring Template - Landed Research Lab Contract 🔥
Community discussed research paper tracking. No complete solution shared. Built automated monitoring system. Landed contract with research lab. 12 researchers. Monthly retainer. THE OPPORTUNITY: Researchers manually search multiple databases daily. ArXiv, Google Scholar, Semantic Scholar, PubMed. Tedious. Time-consuming. Inconsistent. No existing automation addressed this. Market gap identified. Built comprehensive solution. Research lab bought immediately. THE SOLUTION: Daily scheduled workflow. Searches multiple academic databases simultaneously. Validates paper quality (must have authors, abstract, PDF). Curates top papers. Delivers morning digest to team Slack. Complete research monitoring automation. THE RESEARCH LAB REACTION: Before: "We spend first hour every morning searching for new papers." After: "Papers waiting in Slack when we arrive. Start research immediately." Automation changed their morning routine. More productive research time. WHY THIS MATTERS FOR CONSULTING: Generic paper tracking = limited interest. "Just save links manually." Automated daily monitoring = professional research tool. "Essential research infrastructure." Comprehensive solution created consulting opportunity worth monthly retainer. THE CLIENT RESULTS: Research lab: 12 researchers. Each spending 5 hours weekly on literature searches. Before automation: 60 researcher-hours weekly on manual searching. After automation: Papers curated automatically. Research team reviews 15-minute digest. Saves 58 hours weekly. Monthly retainer justified by massive time savings. Research lab productivity increased measurably. THE EXPANSION OPPORTUNITY: Research lab has connections to 6 other labs in same field. Referred automation to colleagues. Consulting pipeline filled through academic network. Same workflow. Different research topics. Each lab becomes paying client. THE COMPETITIVE ADVANTAGE: Most researchers use manual Google Scholar alerts. Basic. Miss papers from other databases. No curation.
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Nov '25 •
🚀New Video: The Only 17 Nodes You Need to Build Anything in n8n (real examples)
This is your n8n Cheat Sheet for 2026 (Attached in this post) In this video I break down the 17 core n8n nodes that I use in almost every automation I build. After creating more than 200 workflows for real clients, my own AI automation business, and even for YouTube videos, these are the nodes that consistently show up across every use case. I walk through each node with real examples and explain why mastering this short list gives you the power to build almost anything in n8n. If you learn these 17, you can move fast, build confidently, and handle almost any automation project you run into.
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A community built to master no-code AI automations. Join to learn, discuss, and build the systems that will shape the future of work.
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