User
Write something
🔒 Q&A w/ Nate is happening in 9 hours
Pinned
🚀New Video: How To Win With AI (without starting an agency)
Everyone in the AI space is being told the same thing right now: start an AI automation agency. But there's a bigger, quieter shift happening that fits way more people. In this video I break down a recent IBM study of 2,000 CEOs, the new chief AI officer wave, the 61-point gap between who can use AI and who actually does, and the two paths into that seat. By the end, you'll know which one fits you and why playing to your strengths matters more than chasing the loudest trend. The IBM study: https://newsroom.ibm.com/2026-05-04-ibm-study-ceos-are-reshaping-c-suite-roles-for-the-ai-era
Pinned
ANNOUNCING: What's working in AI in 2026 (real projects, real revenue)
Quick news. We're doing our first virtual event, and the rule is simple: every person on stage has to show their actual work. The actual projects they're selling. The actual outreach they're using to land clients. The actual numbers behind it. No theory. No tutorials. Just what's working in 2026, taught by the people doing it. Waitlist's open. Get on it before tickets go live: -> What's working in AI in 2026 (real projects, real revenue) PS: Annual members of AIS+ get in for free. We will be announcing discounts for monthly members. If you’ve been thinking about joining AIS+, it’s a good time.
Pinned
🏆 Weekly Wins Recap | May 9 – May 15
From €17K agentic systems and $35K builds to AI leadership roles, first workflows, and launched products - this week inside AIS+ showed what happens when consistent reps finally start compounding. 🚀 Standout Wins of the Week inside AIS+ 👉 Malek Kilani closed his first €17K agentic AI build for a sales coaching company using enterprise presales experience as the unfair advantage. 👉 @Michael Elliott shipped a $35K certification platform with 100+ API endpoints, Stripe integrations, AWS infrastructure, and recurring monthly revenue attached. 👉 @Ailin Werner landed a Head of AI role after 8 months out of work by building publicly, sharing demos, and consistently showing her work online. 👉 Ismail Islam officially launched TradePulse — a full AI-powered trading intelligence platform combining dashboards, Telegram automation, and economic analysis workflows. 👉 @Cagri Sarigoz launched HeyNews on Product Hunt after 12 months of iteration and more than 600 AI-assisted newsletter issues. ⸻ 🎥 Super Win Spotlight | @Ailin Werner Ailin’s LinkedIn Ailin joined AIS+ after losing her job and deciding to fully commit to AI automation. At first, she was learning step-by-step through ChatGPT, debugging workflows manually, and spending countless hours figuring things out alone. Then she joined AIS+ planning to stay for just one month. That quickly changed.
🏆 Weekly Wins Recap | May 9 – May 15
Real-world experience with Android handheld POS + built-in thermal printer for restaurant automation?
Hey everyone, I’m building a restaurant automation system and I’m looking for real-world experience with Android handheld POS devices / all-in-one devices that have a built-in thermal printer. This is not about a simple chatbot or a theoretical setup. I’m trying to find the most reliable and low-maintenance hardware approach for real restaurant operations. Use case: Restaurant orders come in through WhatsApp and/or an AI phone agent. The order is then processed by an automation/backend. The restaurant staff should see the incoming order on a dedicated Android handheld POS device or Android tablet and then quickly: - accept the order - reject the order - select a preparation time, for example 20 / 30 / 45 minutes - trigger or receive an automatic kitchen ticket print - avoid duplicate printing on retries - keep the process simple enough for non-technical restaurant staff The goal is that the restaurant-side flow feels similar to the way delivery platforms handle incoming orders: the device alerts the staff, the staff accepts/rejects, selects the preparation time, and the kitchen ticket prints automatically. Important architecture point:I do not want the backend/n8n to print directly to a local printer IP inside the restaurant network. The device should act as a client. The architecture I’m considering is: backend / automation creates order → restaurant device receives or pulls the order → staff accepts/rejects and selects preparation time → backend creates print job with a dedupe key → device prints through native printer access / SDK / ESC/POS → device sends printed/failed acknowledgement back to the backend. Preferred technical direction: - cloud/server-side backend - device connects outward via HTTPS polling, WebSocket, push notification, MQTT, or similar - no router port forwarding - no VPN/tunnel dependency as the standard setup - no local public API on the tablet - no fragile local IP hacks - print jobs should be pulled or received safely by the device - print jobs need dedupe / acknowledgement logic - if the device restarts, it should recover cleanly - ideally kiosk mode or app pinning - ideally app auto-start after reboot - ideally printer status / paper-out / print failure detection
Claude code in terminal for team
I’m trying to figure out the best way to roll it out internally for marketing team. Main thing I’m struggling with is how to handle shared work + backups properly. We have a Synology NAS and M365/SharePoint, so infra is there, but I’m wondering what actually works in real life. Did you manage to keep one shared Claude Code environment/history/files without things breaking when multiple people worked at once? And how did you solve backups for .claude/, sessions, agents, etc. In easy way because they are non-technical? Would really appreciate any lessons learned and advice 🙏
1-30 of 16,975
AI Automation Society
skool.com/ai-automation-society
Learn to get paid for AI solutions, regardless of your background.
Leaderboard (30-day)
Powered by