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9 contributions to AI Automation Agency Hub
The part I built first, and nobody will ever see it
After my first post, your comments surprised me. I expected questions about the AI. Instead, you asked the hard ones: What about patient privacy? What if two people book the same slot? What happens when the bot doesn't understand? Those are exactly the questions I asked myself before writing a single line of chat. That's why the bot was not the first thing I built. For the first weeks, I worked on parts no patient will ever see. Here's why. A clinic front desk runs on trust. A patient forgives a slow reply. They don't forgive arriving at the clinic to find someone else in their slot. And a clinic owner will never forgive their patients' data reaching the wrong eyes. One mistake like that, and even the smartest bot is finished. So before building the chat, I set 4 rules the system can never break: 1️⃣ Walls between clinics. One clinic can never see another clinic's data. This is enforced at the deepest layer of the system, not just by a line of code someone might forget one day. 2️⃣ One slot = one patient. If two people tap the same time at the same second, only one gets it. The other is instantly offered the next free times. No "we'll sort it out at the desk." 3️⃣ Everything leaves a trace. Every booking, change, cancellation and check-in is recorded: what happened, and who did it, and when. When a patient says "I never cancelled," the clinic has a record, not an argument. 4️⃣ The bot is not allowed to guess. Emergencies skip everything and go straight to a human. If it still can't understand after a couple of tries, it hands over to staff. It doesn't improvise. The lesson I keep re-learning: In healthcare, the boring part is the product. The chat is just the door. And a real thank-you 🙏 Your comments on my first post pointed at a few gaps I had missed in how the bot hands conversations over to staff. I fixed them this week, and I'll share exactly what changed in my next post. Now I need your help: If you've built anything where one mistake costs trust (health, finance, legal…), what's the one "invisible" piece you'd build first?
1 like • 1d
@Duncan Rogoff Exactly, it's invisible until two people tap at the same second. Not an app-level lock or a "check then insert". The rule lives in the database itself as a hard constraint: two overlapping bookings for the same doctor simply can't exist. Whichever request arrives second fails, no matter how close the timing is. The app's job is the human part: it catches that failure and immediately offers the patient the next free times, instead of showing an error. Moving or cancelling a booking frees the old time and takes the new one in a single step, so a time is never half-moved. Have you seen it solved differently, for example with queues? I'd like to hear the trade-offs.
1 like • 1d
@David He This is the most useful comment I've had so far. Thank you. Fail closed: agreed, and that's the rule today. A booking either fully happens or doesn't happen at all, and a failed check never turns into a guess. The patient gets "temporary issue, try again or ask for staff." But your "kill the database mid-booking" test made me trace the worst case, and you found a real hole. If the database is completely down, the patient doesn't get "something went wrong". They get silence, and the message isn't kept for staff. In a clinic, silence is worse than an error. That's now first on my list before any pilot: no message lost, and the patient always gets an answer. Mixed requests: right now the bot picks the main request and runs with it. Your split approach is better: handle the safe part, hand the sensitive part (billing, medical) to staff, and tell the patient both. Adding it. And "break it on purpose" is going into my pre-pilot drill. Out of curiosity: when you ran a drill like that, what broke that you didn't expect?
I've been thinking about something lately and wanted to get your thoughts.
Hey everyone! I'm Maria, and I've been thinking about an idea I'm exploring called Astalo. I've been wondering what happens when you're so focused on building a company that you slowly start neglecting yourself, your health, your relationships, or the things you enjoy outside of work. I'd like to explore working 1:1 with founders to help them find a more sustainable way of working. My background is in healthcare, but I've also worked in operations, and I think both sides matter. Sometimes it's about taking better care of yourself, and other times it's about how you manage your time, priorities, and workload. I'm still figuring things out, so I'd love to hear from people who've experienced this. Have you ever felt like building your company was taking over your life? Have you ever looked for help with it? What did you find helpful, or what do you wish existed? I'm not selling anything. Just trying to understand this better before I build anything!
2 likes • 2d
Hi Maria, this is a real topic, and I think it's under-discussed in communities like this one. I'm building a product solo right now (a front-desk tool for healthcare). The trap I fell into wasn't the long hours. It was that the work never had an "end of day": always one more bug, one more test, one more idea late at night. What's helped me so far: • Ending every work session by writing down the next step, so my head can actually switch off • Breaking the work into small steps I approve one at a time, instead of one endless to-do list • Reminding myself that a tired decision usually costs more time than the rest would have What I wish existed: someone who understands both sides you mentioned. Not just "take care of yourself", and not just productivity tips, but help turning an overloaded plan into a realistic weekly rhythm. Most advice is one or the other, rarely both. Your healthcare + operations mix is a strong angle for that. One question that might shape Astalo: are you focusing on solo founders, or founders with small teams? The pressure feels very different in each case.
I've spent the last few months building an AI front desk for clinics. Here's why I started.
Hey everyone 👋 For the past few months I've been quietly building something, and I've decided to document the journey here: the problems, the mistakes, the fixes, and the lessons. It started with something I kept seeing at clinics around me. The front desk is where everything breaks. A patient messages on WhatsApp at 11 PM to book. Nobody answers until morning, and by then they've booked somewhere else. The receptionist is answering the phone, checking someone in, and replying to dozens of chats, all at the same time. Patients forget their appointments. The doctor's slot sits empty. Nobody sends reminders because nobody has the time. On the surface this isn't a technology problem. It's a people-and-time problem. But it's exactly the kind of problem good automation can solve, if it's built for the real world, not for a demo. So I set myself one rule from day one: → Build it like a real product, not a side project. That meant doing the boring things first: data safety, privacy, and the messy real-life cases. Only then did I add anything "cool." In this series I'll share: Why I built the foundation before the bot What it really takes for AI to understand local dialect The "weird" real-life cases that turned out to be the actual product What I learned from studying the market before pricing anything And at the end, I'll ask for your honest feedback A quick note: I won't share screenshots or the exact build, since the product isn't public yet. But I'll be fully open about the thinking, the problems, and what I learned solving them. Question for you: if you've worked with clinics or any appointment-based business, what's the #1 problem you've seen at the front desk? 👇 P.S. I want to say a genuine thank you to @Liam Ottley 🙏 He's the reason I got into this space in the first place. His content was the first thing that made me believe I could actually build something real with AI, and this whole journey started from there. So, thank you, Liam.
0 likes • 4d
@Bharti Kaith Exactly 💯 A slot freed by a cancellation is only valuable if it goes straight back into the calendar, ready for the next patient. That's why I made rescheduling part of the reminder itself. The patient can confirm, cancel, or move their appointment in a single reply, without calling anyone. The calendar updates instantly, and a slot that would have been a no-show becomes a booking. Agreed on reliability, too. A great conversation means nothing if the booking behind it is wrong. Thanks for the comment! 🙌
1 like • 4d
@Ali Abdullah That's a great one, and it's sneaky because everyone thinks it's handled. The patient got a reply, so the conversation looks done. But the calendar never heard about it. My answer was to take ownership away from people entirely. In my system, a reschedule isn't a message, it's a single action. The old slot is released and the new one is booked together, in one step. Either both happen or neither does, so you never end up with a half-moved appointment. And when a staff member handles the conversation instead of the bot, they reschedule through the same calendar, not by just replying "ok, see you Tuesday." Rule of thumb I followed: if the calendar doesn't know about it, it didn't happen. 🙌
Sell $5k+ AI Systems. Here's how.
Hey guys, I saw most of you are facing problems making better money in AI. So here's some insights I can give working with 16+ AI Agencies to sell $10k+ services for them on a purely performance basis. Firstly, 1. You should have a high-ticket frontend offer. - Most people don't know what ai systems they might need in their business. - So selling them $30k+ ai implementations is pretty difficult. There are two ways to go through this: 1. Sell a foot in the door ai agent for that niche, 2. Sell an ai audit. I'd be practical with you guys, if you sell a demo for an ai agent initially for less than $500/m you can get your foot in the door with them before upselling them on more. Either that or simply try selling a money backed guarantee based ai audit to find at least $400k/yr in savings for that business using ai. Now that's worth $5k for the audit making it an easy close. Then, Understand that it's a numbers game, there's a cost per acquisition that you need to track for your services. Every sales call you booked has a cost to it, every 5 sales calls you do usually will get you a client and guess what that has a cost to it as well. You either need to spend time or money to acquire clients. Honestly either 6 months in time or 1k+ in usd. That's it. You can craft a really high ticket offer which someone really wants, but that depends on your selling potential on how you're going to reach to these people who actually want these services from you. There are levels to what you can sell and whom you can sell it to. So in the next 7 days I'd be helping you to craft an offer for your level and will also guide you how to sell it to your audience with the easiest means you have. Basically I'd be active over the DMs here or the comments below in the coming week, you can simply share about your current offer and ICP you're targeting either on my DMs or here in the comments and I'll guide you with exactly what changes you need to do to get a client in the next 7 days.
1 like • 6d
Really valuable insights! I especially like your approach of starting with a smaller offer to build trust before moving into higher-ticket services. I'm an Artificial Intelligence graduate, currently building an AI automation project called ClinicFlow AI, focused on the healthcare sector in Saudi Arabia. My current ICP: Small to medium-sized private clinics that spend significant time handling patient inquiries, appointment scheduling, and follow-ups. My proposed offer: An AI-powered WhatsApp assistant that can handle patient inquiries, manage appointments, send reminders, and transfer conversations to human staff when needed. I'm still in the development stage and working toward landing my first paying client, so I don't have client case studies yet. I'd really appreciate your advice on three things: 1. Offer: Would you recommend starting with a low-cost pilot, a setup fee plus monthly maintenance, or another pricing model? 2. Client Acquisition: What's the most effective way to approach clinic owners and decision-makers when you don't have a proven track record yet? 3. Positioning: How would you refine this offer to make it more attractive and easier to sell? My goal is to validate the market, secure my first client, and eventually build a scalable AI automation business. I'd genuinely appreciate your feedback based on your experience working with AI agencies. Thanks for offering to help!
0 likes • 5d
@Priyanshu Kumar Thanks a lot, Priyanshu 🙏 This is genuinely valuable, and I appreciate you taking the time to write it out in such detail. A quick clarification that might change your view a bit: ClinicFlow isn't at the idea stage. The core system is already built and running live on WhatsApp. So for me, the question isn't "should I build it?" anymore. It's "how do I turn the first clinics into paying, referenceable customers?" Two of your points really hit home: Hybrid SaaS + service: 100% agree. Clinic owners here don't buy software, they buy peace of mind. I'm already shaping a service layer on top of the subscription. Validating with commitment, not just interest: that's exactly where my focus is right now. For now I'm staying fully focused on the Saudi market, since that's where my edge is. But I really appreciate the offer. One question, if you don't mind: when you've run pilots for B2B clients before, what made the biggest difference in converting a pilot into a paying customer? Was it the results you agreed on upfront, the reporting, or something else? Thanks again! 🙌
In demand systems
What systems are you all seeing the most demand for right now, and which niches are they most popular in?
1 like • 5d
Based on recent market research, I'd prioritize these AI automation systems: Customer Support: AI chatbots and automated inquiry handling. Sales & CRM: Lead qualification, follow-ups, and CRM automation. Operations: Appointment scheduling, reminders, and administrative workflows. For niches, I'd focus on testing healthcare clinics, real estate, and home services, where missed inquiries and repetitive tasks can create clear business opportunities. According to Intuit QuickBooks' 2026 AI Impact Report, marketing, administration, and customer service are among the leading areas of AI adoption. The key is validating actual demand within each niche before building.
1-9 of 9
Mohamed Nasir
4
22 points to level up
@mohamed-nasir-8898
AI Graduate | Building practical AI automation systems for clinics and service businesses | n8n • APIs • WhatsApp workflows | Saudi Arabia

Active 6h ago
Joined Jan 13, 2026
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