About the Author
Ulisses Matos
Hi, I’m Ulisses. Welcome to Dive to Done. If you’re tired of surface-level AI tutorials and generic prompts that don’t survive in a production environment, you are in the right place. I created this space for developers, IT professionals, and tech enthusiasts who want to move past the hype and start building real, automated, and scalable workflows. We don’t just skip to the end here, we dive deep into the infrastructure, figure out how the gears turn, and get the job done right.
The Background: Code, Servers, and Hardware
My background is rooted in the hard technical realities of software and infrastructure. With a Bachelor’s degree in Computer Science, I’ve spent years getting my hands dirty in server administration, wrestling with Nginx configurations, managing Linux VPS environments, and deploying Laravel applications.
But my interest in technology doesn’t stop at the server rack. In my day-to-day life, I also teach robotics, working hands-on with Arduino hardware, sensors, and microcontrollers to bridge the gap between code and the physical world.
Why AI for Developers?
When Large Language Models hit the mainstream, I didn’t just see a chatbot; I saw a new layer of infrastructure.
Instead of just chatting with AIs, I started pushing them to their technical limits. Whether it’s running autonomous agents like OpenClaw locally on my own hardware, integrating the Gemini API into complex backend workflows, or using Claude to debug stubborn server proxies, my goal is always the same: leverage AI as a serious engineering tool.
What You’ll Find on Dive to Done
This blog is my digital workbench. Here, I document my real-world experiments, the errors I encounter, and the exact setups I use to solve complex problems.
When I’m not optimizing a server block or testing the latest AI agent, you can probably find me digging into speedrunning techniques for classic games, exploring or finding the next technical rabbit hole to dive into.
Grab a coffee, open your terminal, and let’s dive in.