Finally, I’ve successfully self-hosted my n8n instance.
No more monthly subscription fees.
No more execution limits.
No more workflows expiring every couple of weeks.
No more importing and reconfiguring workflows across multiple accounts.
Now, it’s just steady building, shipping, and scaling.
This may seem like a small infrastructure win, but for anyone building automation systems, AI agents, or SaaS products, owning your infrastructure changes everything. It gives you more control, more flexibility, and the freedom to focus on creating value instead of worrying about platform limitations.
My backend automation server is officially live and ready for what comes next.
A special shoutout to @idon1405. I genuinely appreciate your support and guidance throughout this process. I owe you big time.
One thing this experience reinforced for me is that connection, access, and the right people in your corner are often underestimated.
Onward to building bigger systems, smarter automations, and more ambitious projects.
🎥 New Video Alert!
How Mr FUD Changes Token Launches: Part 2 🛡️
In this follow up episode, we take a deeper look at how Mr FUD is reshaping token launches, enhancing transparency, and helping projects build greater trust.
Watch, Like & Subscribe:
https://t.co/OuOBYR9gfi
@AyvoLife They are not node.
All you details you see are staff details to test the automation.
And if a patient registers or book a new appointment, they are all stored in a database and if for one year they don't return, they because inactive in the system hence nothing is sent to them.
I got tired of renewing n8n subscriptions and dealing with free trial limitations every couple of weeks, so I decided to take a different route: self-hosting n8n on Oracle Cloud's Always Free tier.
The goal was simple, build a reliable automation environment that I fully control without recurring monthly costs.
The Oracle Cloud free resources provide:
• 1 vCPU
• 6 GB RAM
• 47 GB Storage
• Always-on internet connectivity
• Completely free, forever
However, there was one challenge.
Oracle's free VM instances are in high demand, and when I attempted to create one, there were no available compute slots. The only solution was to keep retrying until a spot became available.
The problem?
Oracle recommends trying again later, but manually clicking "Create Instance" every 60 seconds isn't exactly a productive use of time.
Instead of sitting in front of my computer repeatedly checking for availability, I did what builders do:
I automated the process.
I built a bot that continuously retries the VM creation request every 60 seconds until an available slot is found and successfully provisioned.
Now, while the bot handles the repetitive work, I can continue building projects, doing other work related activities in @smcdao, attending meetings, or even stepping away from my computer entirely.
This is exactly the kind of problem automation was created to solve.
What advantage does this give n8n?
Once the Oracle VM is provisioned, n8n can run on a dedicated cloud server rather than relying on my personal computer.
That means:
✅ n8n runs 24/7, even when my PC is turned off
✅ Workflows can execute at any time — midnight, 3 AM, weekends, holidays, whenever they're triggered
✅ Automations become more reliable and production-ready
✅ No recurring hosting costs
✅ Complete control over the environment and deployment
For anyone serious about automation, running n8n on a cloud server changes everything. Your workflows stop depending on your laptop and start operating like real infrastructure.
This project was a reminder that sometimes the best automation isn't the workflow you're building for a client—it's the automation that removes repetitive work from your own life.
If a task needs to be repeated every 60 seconds for hours, that's usually a sign that a human shouldn't be doing it.
That's where AI, automation, and good engineering come in.
#Web3 #Blockchain #tech #n8n #Automation #Ai #Nocode
While still awaiting my certificate from @TechSphereAcad in AI and Automation, I've been fortunate to receive another scholarship opportunity this time in Cybersecurity.
The full story of how this journey started is one I'll share another day. For now, I want to express my sincere gratitude to those who have played a role in my growth and development.
A big thank you to God first for this journey so far. Secondly i’ll like to thank @sirmapy, @eric_gugua, @TechSphereAcad, and @Ghostbud174449. Each of these names is connected to a key moment in this journey. The full story is coming soon.
I'm already building and working actively in AI and Automation, Cybersecurity is the next area to explore and strengthen.
Once my certificate is out and unveiled, I'll share the full story of how this journey began, the lessons learned along the way, and what's next.
The learning continues, building in silence and make use of every opportunity.
#AI #Automation #Cybersecurity
I usually build in silence.
Most of my work happens at night and during lighter work hours @smcdao when I step away from everything else and focus on building systems end-to-end.
Recently, I got a real Upwork project and decided to go all in.
I’ve been building ClinicFlow 🧠 — an AI-powered clinic automation system.
🧩 The Problem I Was Solving
A small private clinic had very real operational issues:
• Patients constantly miss appointments
• Staff are overloaded with repetitive WhatsApp messages
• Prescription refills are not tracked properly
• No structured system for patient communication
• No visibility into what’s happening across the clinic
Everything was manual.
Everything depended on humans remembering things.
⚙️ The System I Built — ClinicFlow
ClinicFlow is a full automation system that connects:
• n8n → workflow automation engine
• Supabase → structured patient database
• Lovable → dashboards (Patient / Staff / Management)
• Gemini AI → intelligence + decision making
• WhatsApp API → real-time communication layer
🔄 How the System Actually Works
1. Patient WhatsApp Intelligence Layer
Patients interact directly through WhatsApp.
The system automatically:
• Sends appointment reminders (24h + 1h before visit)
• Sends prescription refill alerts before medication runs out
• Answers general clinic questions automatically
• Reads patient messages and classifies them using AI
AI categorizes messages into:
→ Appointment request
→ Prescription issue
→ Symptom report
→ Complaint
→ General question
2. AI Symptom Triage System
When a patient describes symptoms:
Gemini AI analyzes the message and classifies severity:
• Low
• Medium
• Urgent
If it is Urgent, the system immediately:
→ Notifies clinic staff on WhatsApp
→ Logs the case in the database
→ Flags it inside the dashboard
This removes the need for manual monitoring.
3. Staff Alert System
Staff don’t need to “check” anything manually anymore.
The system pushes:
• Urgent patient alerts instantly
• Complaint summaries with context
• New patient registration notifications
• Daily appointment overview
Everything is event-driven.
4. Supabase as the Single Source of Truth
All patient data is structured inside Supabase:
• patients
• appointments
• prescriptions
• messages_log
This ensures every automation has clean, reliable data to work with.
5. Dashboards (Lovable UI Layer)
I built 3 role-based dashboards:
👤 Patient Dashboard
• View appointments
• View prescriptions
• Receive AI health tips
• Submit symptom reports (triggers AI triage flow)
🧑⚕️ Staff Dashboard
• View all active patients
• Track urgent flagged cases
• Resolve patient cases
• View daily schedule
📊 Management Dashboard
• Patient growth tracking
• Appointment volume analytics
• WhatsApp automation activity
• Urgent case reports
6. Automation Engine (n8n Workflows)
The entire system runs on 5 automated workflows:
• Appointment reminder engine
• Prescription refill alert engine
• WhatsApp intake + AI triage router
• Personalized health tip generator
• Management reporting system
Everything runs automatically without manual intervention.
🧠 What this really is
ClinicFlow is not just a dashboard or chatbot.
It is a multi-agent automation system that combines:
• Workflow orchestration (n8n)
• Structured healthcare data (Supabase)
• AI decision-making (Gemini)
• Real-time messaging (WhatsApp API)
• Role-based UI system (Lovable)
In simple terms:
👉 It replaces manual clinic operations with an AI-driven automation layer.
📈 Why this matters
This system directly improves:
• Patient retention (fewer missed appointments)
• Staff efficiency (less repetitive messaging)
• Faster emergency response (instant escalation)
• Better operational visibility (real-time data)
This is what modern clinic operations are shifting toward:
AI + automation instead of manual coordination.
🎥 Demo
Click here to watch the full system in action (dashboard + automation flows):
👉 https://t.co/rGStGPKrJH
Still building. Still refining. Still shipping.
#AI #Automation #BuildInPublic
For me as a Developer, the connection between SMC DAO App, Peniwallet, Peniremit, StableNaira and Wiki Cat is not just about building separate products.
The vision is to build an ecosystem where each product strengthens the others and creates real economic activity that can eventually flow back into Wiki Cat.
This is not even me including the other products built under our ecosystem by other developers. such as Giant wallet, Warguard, Firescreener and more.
For example, Peniwallet and Giant wallet is creating a self-custodial infrastructure that can onboard users and tokens into the ecosystem.
Peniremit is focused on solving real-world payment and remittance challenges, potentially bringing transaction volume, users, and business activity into the network.
The SMC App serves as an identity, educational and community layer, helping to attract, train, and retain participants within the ecosystem.
The long-term value of any token is not created by hype alone.
It comes from utility, adoption, users, transactions, businesses, and a thriving ecosystem. What is being built today lays the foundation for those things.
It is also important to understand that ecosystem development happens in stages.
First, the infrastructure is built. Then users come. Then businesses and services integrate. Finally, utility and demand increase.
Wiki Cat and many other tokens is positioned to benefit from the growth of the broader ecosystem as these products mature and gain adoption.
Up next, an ai agent I built that I got the inspiration from being a moderator and how it can help devs get issues quickly from their tester or users faster and it can act as a moderator.
Also for ecosystems that has moderators, it helps their moderators team become more effective
I usually build in silence.
Most of my work happens at night and during lighter work hours @smcdao when I step away from everything else and focus on building systems end-to-end.
Recently, I got a real Upwork project and decided to go all in.
I’ve been building ClinicFlow 🧠 — an AI-powered clinic automation system.
🧩 The Problem I Was Solving
A small private clinic had very real operational issues:
• Patients constantly miss appointments
• Staff are overloaded with repetitive WhatsApp messages
• Prescription refills are not tracked properly
• No structured system for patient communication
• No visibility into what’s happening across the clinic
Everything was manual.
Everything depended on humans remembering things.
⚙️ The System I Built — ClinicFlow
ClinicFlow is a full automation system that connects:
• n8n → workflow automation engine
• Supabase → structured patient database
• Lovable → dashboards (Patient / Staff / Management)
• Gemini AI → intelligence + decision making
• WhatsApp API → real-time communication layer
🔄 How the System Actually Works
1. Patient WhatsApp Intelligence Layer
Patients interact directly through WhatsApp.
The system automatically:
• Sends appointment reminders (24h + 1h before visit)
• Sends prescription refill alerts before medication runs out
• Answers general clinic questions automatically
• Reads patient messages and classifies them using AI
AI categorizes messages into:
→ Appointment request
→ Prescription issue
→ Symptom report
→ Complaint
→ General question
2. AI Symptom Triage System
When a patient describes symptoms:
Gemini AI analyzes the message and classifies severity:
• Low
• Medium
• Urgent
If it is Urgent, the system immediately:
→ Notifies clinic staff on WhatsApp
→ Logs the case in the database
→ Flags it inside the dashboard
This removes the need for manual monitoring.
3. Staff Alert System
Staff don’t need to “check” anything manually anymore.
The system pushes:
• Urgent patient alerts instantly
• Complaint summaries with context
• New patient registration notifications
• Daily appointment overview
Everything is event-driven.
4. Supabase as the Single Source of Truth
All patient data is structured inside Supabase:
• patients
• appointments
• prescriptions
• messages_log
This ensures every automation has clean, reliable data to work with.
5. Dashboards (Lovable UI Layer)
I built 3 role-based dashboards:
👤 Patient Dashboard
• View appointments
• View prescriptions
• Receive AI health tips
• Submit symptom reports (triggers AI triage flow)
🧑⚕️ Staff Dashboard
• View all active patients
• Track urgent flagged cases
• Resolve patient cases
• View daily schedule
📊 Management Dashboard
• Patient growth tracking
• Appointment volume analytics
• WhatsApp automation activity
• Urgent case reports
6. Automation Engine (n8n Workflows)
The entire system runs on 5 automated workflows:
• Appointment reminder engine
• Prescription refill alert engine
• WhatsApp intake + AI triage router
• Personalized health tip generator
• Management reporting system
Everything runs automatically without manual intervention.
🧠 What this really is
ClinicFlow is not just a dashboard or chatbot.
It is a multi-agent automation system that combines:
• Workflow orchestration (n8n)
• Structured healthcare data (Supabase)
• AI decision-making (Gemini)
• Real-time messaging (WhatsApp API)
• Role-based UI system (Lovable)
In simple terms:
👉 It replaces manual clinic operations with an AI-driven automation layer.
📈 Why this matters
This system directly improves:
• Patient retention (fewer missed appointments)
• Staff efficiency (less repetitive messaging)
• Faster emergency response (instant escalation)
• Better operational visibility (real-time data)
This is what modern clinic operations are shifting toward:
AI + automation instead of manual coordination.
🎥 Demo
Click here to watch the full system in action (dashboard + automation flows):
👉 https://t.co/rGStGPKrJH
Still building. Still refining. Still shipping.
#AI #Automation #BuildInPublic
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Take a few minutes to fill our survey, share your experience, rate our content and tell us what you want to see more of.
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https://t.co/Hy8kJkKPDl
If you’ve ever heard terms like Wrapped Bitcoin (WBTC) or Wrapped Ether (WETH) and wondered what they mean,
this article will definitely explain everything.
Read on: https://t.co/Q6D7rLht8J
As a project developer, if you take a screenshot of my private chat with you and run to post it on X or in your community group chat as a means to promote your coin without my consent, you have abused access.
Once I find out, our relationship will end immediately.