Posts
The process, in the open
Lab posts: real decisions, mistakes and lessons learned.
Story #3
Automating without changing your tools. Where we start.
The first question SMEs ask us is: 'Will we have to change all our tools?' The short answer is: no. The long answer is here.
Story #2
DyMagoo's coordination runs on AI agents. What we've learned.
We built our own operational coordination system on autonomous AI agents. Not to experiment — out of necessity. Here's what we've learned in the first months.
Story #1
DyMagoo: born in a lab
The story of a worker cooperative that was born building its own AI infrastructure. Because the best way to understand technology is to live it.
Lab #6
AI agents in production: what we've learned
Twelve milestones and three mistakes from operating autonomous agents in a real environment. The lessons no documentation explains.
Lab #5
OpenClaw: an AI agent built from the lab
How we designed the architecture of an agent with Spring AI, Claude API and Ollama on OKD.
Lab #4
Architecture and hardware for a local AI lab
Why the Mac mini M4 Pro and the trade-offs we made between cost, performance and scalability.
Lab #3
Building an AI lab with OKD and Ollama
Step by step: how we set up the local inference infrastructure integrated with the DevOps stack.