I just finished a live HVAC Alert System workflow that does all this: • Predicts failures before they happen • Alerts technicians instantly (SMS/WhatsApp/Email) • Logs issues with clear next steps • Tracks unresolved alerts automatically Simple question for you: What’s your biggest pain with HVAC alerts right now? Reply with A / B / C / D 👇 A) Too many false alerts B) No real prediction before failure C) Alerts go to the wrong people D) No auto-tracking after alert ➡️ Reply A/B/C/D + your exact issue If you want the workflow file + demo, comment “SHOW ME” or DM “HVAC ALERT.”

Here are the numbers hotel owners don't want to admit 👇 📉 𝟖𝟓% 𝐨𝐟 𝐭𝐫𝐚𝐯𝐞𝐥𝐞𝐫𝐬 𝐛𝐨𝐨𝐤 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞 𝐟𝐢𝐫𝐬𝐭 𝐩𝐥𝐚𝐜𝐞 𝐭𝐡𝐚𝐭 𝐚𝐧𝐬𝐰𝐞𝐫𝐬. 📉 𝟕𝟎% 𝐨𝐟 𝐦𝐢𝐬𝐬𝐞𝐝 𝐜𝐚𝐥𝐥𝐬 𝐧𝐞𝐯𝐞𝐫 𝐜𝐚𝐥𝐥 𝐛𝐚𝐜𝐤. 📉 𝐀𝐟𝐭𝐞𝐫-𝐡𝐨𝐮𝐫𝐬 = 𝟓𝟎% 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐢𝐧𝐛𝐨𝐮𝐧𝐝 𝐜𝐚𝐥𝐥𝐬 (𝐚𝐥𝐥 𝐠𝐨𝐢𝐧𝐠 𝐭𝐨 𝐯𝐨𝐢𝐜𝐞𝐦𝐚𝐢𝐥). Now ask yourself honestly: → How many guests call at 11 PM when your desk is closed? → How many callers hang up after 30 seconds on hold? → How many "I'll call them back" actually happen? That's not a staffing issue. That's 𝐥𝐞𝐚𝐤𝐢𝐧𝐠 𝐫𝐞𝐯𝐞𝐧𝐮𝐞. So I built an AI Voice Receptionist that runs your front desk - 24/7 👇 🤖 𝐀𝐈 𝐚𝐧𝐬𝐰𝐞𝐫𝐬 𝟏𝟎𝟎% 𝐨𝐟 𝐜𝐚𝐥𝐥𝐬 - 𝐢𝐧𝐬𝐭𝐚𝐧𝐭𝐥𝐲 No rings. No hold music. No voicemail. 📅 𝐁𝐨𝐨𝐤𝐬 𝐫𝐨𝐨𝐦𝐬 𝐢𝐧 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 (𝐞𝐯𝐞𝐧 𝐚𝐭 𝟑 𝐀𝐌) Because your competitor's AI doesn't sleep either. ✏️ 𝐌𝐨𝐝𝐢𝐟𝐢𝐞𝐬 & 𝐜𝐚𝐧𝐜𝐞𝐥𝐬 𝐛𝐨𝐨𝐤𝐢𝐧𝐠𝐬 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐡𝐮𝐦𝐚𝐧 𝐭𝐨𝐮𝐜𝐡 Guests get what they need. Your staff stays focused on in-person service. 🔍 𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐞𝐬 𝐛𝐨𝐨𝐤𝐢𝐧𝐠 𝐝𝐞𝐭𝐚𝐢𝐥𝐬 𝐯𝐢𝐚 𝐜𝐨𝐧𝐟𝐢𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐜𝐨𝐝𝐞 Zero wait time. Zero mistakes. Zero frustration. ♾️ 𝐇𝐚𝐧𝐝𝐥𝐞𝐬 𝐮𝐧𝐥𝐢𝐦𝐢𝐭𝐞𝐝 𝐜𝐚𝐥𝐥𝐬 𝐬𝐢𝐦𝐮𝐥𝐭𝐚𝐧𝐞𝐨𝐮𝐬𝐥𝐲 Peak season? Wedding block? Group booking rush? Doesn't matter. 📌 𝐓𝐡𝐞 𝐮𝐧𝐜𝐨𝐦𝐟𝐨𝐫𝐭𝐚𝐛𝐥𝐞 𝐭𝐫𝐮𝐭𝐡: If two hotels have the same rooms, same location, same price… The one that answers first wins - every single time. Your front desk team can't clone themselves. But your AI receptionist can. 𝐓𝐡𝐢𝐬 𝐢𝐬𝐧'𝐭 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞. 𝐘𝐨𝐮𝐫 𝐜𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐨𝐫𝐬 𝐚𝐫𝐞 𝐚𝐥𝐫𝐞𝐚𝐝𝐲 𝐝𝐨𝐢𝐧𝐠 𝐭𝐡𝐢𝐬. 💬 Comment 𝐑𝐄𝐂𝐄𝐏𝐓𝐈𝐎𝐍𝐈𝐒𝐓 if you want this system for your hotel or resort. 👍 Like if you think missed calls = missed bookings.

In 2024, the customer service department at Klarna, the Swedish fintech company, completed a quiet revolution. The company announced that its AI assistant was now handling the work equivalent of 700 full-time customer service agents. The chatbot resolved two-thirds of customer inquiries in under two minutes, down from eleven minutes previously, with satisfaction ratings matching human agents. The company projected $40 million in annual profit improvement.¹ This wasn't automation in the traditional sense. This was something different. (An important postscript: In May 2025, Klarna reversed course, announcing plans to hire human customer service workers again. CEO Sebastian Siemiatkowski acknowledged that "quality of human support" had suffered and that the company's AI-focused path "wasn't the right one." The reversal is instructive, it reveals both the limitations of current AI and the relentless pressure to try again. We'll return to what Klarna's stumble tells us about the shape of this transition.)² --- The Familiar Script We've been through this before, or so the argument goes. Every technological revolution triggers the same cycle of panic and adaptation. In the early 1800s, the Luddites smashed textile machinery, fearing the machines would steal their livelihoods. By 1900, most Americans worked in agriculture; today, less than 2% do. Yet unemployment hasn't steadily climbed, it's fluctuated within a relatively narrow band for over a century. The economy adapted. New jobs emerged. Human ingenuity prevailed. The reassurances come from economists, technologists, and business leaders in predictable refrains: It's just a tool. It augments human capability. Yes, some jobs will change, but we'll create new ones. We always have. There's comfort in this narrative. It's backed by 200 years of evidence. It suggests that our economic anxieties, however real they feel, are ultimately misplaced, that we're once again mistaking transformation for catastrophe. But what if the pattern doesn't hold this time? What if the very thing that makes us confident, our long history of technological adaptation, is blinding us to a fundamentally different kind of disruption?

Revvten.com Chrome extension that auto upgrades all of your prompts for maximum value.

I built https://selfscale.app — a content scheduling tool for creators — using AI coding tools. Claude, Cursor, the works. It took months, not years. No dev team. Just me and an AI that writes code. Sounds like a dream, right? Here's the truth. --- The Dream Day 1: I described a feature. The AI built it. I felt like a god. Day 30: Something broke. I had no idea why. The AI "fixed" it by breaking something else. Day 90: I've rebuilt the same feature four times. I'm managing code I don't fully understand. --- What I Learned AI gets you 80% there fast. The last 20% — production bugs, API changes, security gaps — that's still on you. Documentation becomes your product. I spend more time writing context docs for the AI than I do on features. Without them, every session starts from scratch. You're not coding. You're directing. Different skill. Different ceiling when things break. --- Why I Built SelfScale Anyway Because I was tired of the content hamster wheel. Post for a week. Fall off for two. Feel guilty. Repeat. I needed something that could write like me — not generic AI slop — and let me schedule everywhere without living in five different apps. So I built it. --- What It Does - Learns your voice. Feed it your content. It captures your style. - One dashboard. LinkedIn, X, wherever — schedule from one place. - Canva built in. Pull your designs directly into posts. - Skool alerts (beta). Get texted when someone posts in your community. --- The Ask I built this to solve my own problem. Now I want to know if it solves yours. Try it free for 7 days at https://selfscale.app. Poke around. Break things. Tell me what sucks. There's a chatbot in the app — just tell me directly. Your feedback shapes what gets built next. — Bill