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🔒 Q&A w/ Nate is happening in 5 days
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🎉 Happy New Year, Everyone
It is always a good time to reflect on everything you accomplished this past year and to set some goals for what you want to achieve in the new one. Thank you for helping us build such an awesome community over the past year. I cannot wait to see how much more it grows by the end of 2026. Cheers, Nate
🎉 Happy New Year, Everyone
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🚀New Video: How to Actually Deliver AI Projects (APIs, Hosting & Handover Explained)
In this video, I walk through how to actually deliver AI projects, covering APIs, hosting, and handover so clients can use what you build without things breaking or getting messy. This is for anyone building or selling AI services who wants clean delivery, happy clients, and fewer problems after launch. Hope you guys enjoy!
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🏆 Weekly Wins Recap | Dec 20 – Dec 26
From new clients to production-ready AI systems - this week inside AIS+ was all about confidence turning into action 🚀 Here are this week’s highlights inside AIS+ 👇 👉 @Christian Barraza signed his second client in just 3 days - momentum sparked by simply sharing his first win publicly. 👉 Maciej Wesolowski closed a $3,300 project, building AI agents for an education platform - strong execution, clear value. 👉 @Jose M Lopes landed another inbound prospect via LinkedIn by staying consistent and visible - proof that showing up compounds. 👉 @Waliullah Murad shipped three AI agents in one week - a Telegram calendar assistant, feedback handler, and daily overview system. 👉 @Isaias Perez built his first production-ready automation for a bus company - live alerts for missed shifts and speeding events. 🎥 Super Win Spotlight of the Week: @Usman Mohammed | Building for Life, Not Just for Tools Usman joined AIS+ to learn automation but stayed for the network, trust, and long-term relationships he built by staying active. Through consistent participation, he’s grown confident, built real connections, and positioned himself to serve clients with clarity. 🎥 Watch his quick story 👇 Usman’s journey is a reminder: tools change fast - community and relationships last for life. ✨ Want to see more wins like these every week? Join the builders inside AI Automation Society Plus - where consistency, connection, and action turn learning into real results 🚀
🏆 Weekly Wins Recap | Dec 20 – Dec 26
Happy New Year!!!
Happy New Year everyone. Grateful to be building alongside you. Wishing you health, momentum, and real wins in 2026. 🥂
Production environments for automation
We often treat automation tools as simple scripts, but as workflows grow in complexity, the underlying infrastructure becomes just as critical as the logic itself. If the server is fragile, the automation is useless. The production architecture for my n8n instance on Oracle Cloud, and every design decision was made with one goal in mind: Realibility. When you are running critical workflows, you can't afford a system that requires constant babysitting. Reliability through Decoupling The most significant upgrade was moving the state management to a dedicated PostgreSQL 16 container. By decoupling the database from the application logic using Docker Compose, I’ve eliminated the common "database locked" errors that plague SQLite setups during high-concurrency bursts. This separation ensures that even if the execution layer creates a bottleneck, the data layer remains responsive and intact. Security via Isolation Exposing internal tools to the web is always a risk. Instead of opening ports on the firewall or managing complex reverse proxies, I implemented Zrok as an open-source tunneling solution. This provides a "Zero Trust" surface area, my server IP remains hidden, and I can expose only the specific webhook endpoints required for external triggers. It’s a security-first approach that removes the headache of manual SSL certificate rotation. Maintainability and Performance Running this on the Ampere (ARM) architecture with Ubuntu 22.04 gives me a modern, highly efficient foundation. The containerized Docker approach means updates are atomic and reversible. If a new version of n8n breaks a workflow, rolling back is a matter of changing one line in a config file, not rebuilding a server. Future Optimizations While this stack is solid, there is always room to optimize. My next steps include: Enhanced Observability: Implementing a Grafana/Prometheus stack to visualize workflow metrics and resource usage in real-time. Automated Backups: Setting up a cron job to push encrypted PostgreSQL dumps to an external S3 bucket for disaster recovery.
Production environments for automation
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AI Automation Society
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