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🔒 Q&A w/ Nate is happening in 6 days
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🚨 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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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.
Want to get featured in front of 500,000+ people?
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🏆 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 🚀
🏆 Weekly Wins Recap | Jan 9 – Jan 16
🚨 NEW FEATURE 🚨
Higgsfield just launched AI Influencer Studio — a tool that lets you create your own digital influencer and generate endless video content that feels real, without ever filming or appearing on camera You design a character once, and then use it to produce Reels, TikToks, Instagram Page and Shorts on demand https://higgsfield.ai/ai-influencer
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🚨 NEW FEATURE 🚨
AI Decisions Still Belong to You
When a human makes a bad call, responsibility is obvious. When AI makes a bad call, accountability suddenly gets blurry. I’ve seen AI systems: - block legitimate customers - greenlight risky transactions - send messages that shouldn’t have gone out - rank the wrong leads as “high priority” - trigger automations that caused real damage And when things broke, the explanation was always the same: “It was automated.” Here’s the reality founders need to face: AI doesn’t carry consequences. Your company does. Customers don’t care: - what model you deployed - how good the benchmarks look - whether it was a rare scenario They only see the result. And they hold *you* responsible for it. Everything changed for me when I stopped asking: “How smart is this system?” And started asking: “If this decision is wrong, who eats the cost — financially, legally, and reputationally?” That question forces better architecture, better guardrails, and better deployment decisions. If ownership isn’t defined before AI goes live, the business always pays for it later.
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AI Automation Society
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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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