DIGITAL ENABLER · BARCELONA

Your business deserves a real system.

4+
Active projects
100%
Cloud-native
Iterations

Simple, tailored systems to eliminate manual chaos and gain control over your business, without technological complexity. We build with AI integrated into the process — not as a complement, but as our way of working. More delivery, better code, less time.

↔️ Context scattered across teams and tools
🔗 Personal dependencies that make the system fragile
⛓️ Processes that disconnect decisions from execution
🔌 Technology that exists but never becomes useful capacity

DyMagoo is AI-native: we build, deliver and improve with AI integrated into the process.

DyMagoo is AI-native: AI is not a tool we add — it is the way we build, deliver and improve.

An AI-native studio that turns technological complexity into real capacity. Our agents review code, manage tasks and reduce delivery cycles from day one.

Projects

Built in the lab

We only offer what we use ourselves and truly believe in.

01
OpenClaw
Our AI agent platform. Orchestrates autonomous agents with Spring AI, Claude API and Ollama, connecting any tool via MCP protocols.
Active
Spring BootClaude APIMCP
02
DyMagoo Engine
Our DevOps lab on OKD. The cornerstone of all infrastructure: CI/CD, Traefik, Gitea, Jenkins, Grafana and Keycloak — all integrated and running in production.
Active
OKDTraefikIaC
03
DyMagoo OS
The operating system for our AI agents. We coordinate autonomous agent teams with Linear, MongoDB and our own MCP protocols. Session by session.
Beta
AgentsLinearMCP
04
DyMagoo Web
Multilingual corporate website built with Astro and a dynamic CMS. Deployed on Cloudflare Pages. DyMagoo's story made visible.
In progress
AstroCloudflareCMS
Brand Principles

Our DNA

Eight principles that define how we think, how we build and who we build for. Rebellious thinking with purpose as the thread running through everything we do under the DyMagoo brand.

Methodology

How we
work

We have no magic formula. We have a rigorous process that we've tested, broken and improved in our own lab before applying it to your projects.

Our promise: we deliver in weeks, not months. No budget surprises. No code you won't understand. And if something doesn't work as expected, we fix it.

Technologies

Our
stack

We use technology proven in our own lab. Nothing we haven't broken, repaired and shipped to production ourselves.

Legend
Core technology — foundation of every project Complementary technology — used as needed
Journal

The process, in the open

Lab posts: real decisions, mistakes and lessons learned.

Story #13
How you know when change has truly worked
The difference between a project that has ended and a change that has truly taken root. Three signs that tell you if change is real: autonomous use, ability to repair, and self-extension.
Story #12
When it's too soon to automate
Automating a chaotic process doesn't fix it — it leaves it chaotic at machine speed. The fifteen-minute rule as a criterion for knowing when you're truly ready to scale.
Story #11
The mistake that makes you better
How diagnostic errors, handled honestly, build real trust with the client. Because trust is built in the moments when something fails.
Story #10
When clients don't know what they want until they see it
How we accompany clients who can't quite articulate what they need, and why the exploration step is half the work.
Story #9
Why we don't work for everyone
It's not exclusivity. It's coherence. Why DyMagoo is selective about the projects it takes on — and why that's a guarantee for clients who do fit.
Story #8
The difference between delegating and trusting
It's not a technology change. It's a visibility change. How monitoring shifts from control to operational trust.
Story #7
How we measure what has changed
Because standard KPIs don't capture everything that transforms. The two measures we use to evaluate real change in processes and people.
Story #6
Why the first month is usually the hardest
And why we say so from day one. The J curve and how to prepare for change when implementing a new system.
Story #5
When automation isn't enough
The AI does the work. But no one uses it. The invisible problem of adoption in automation projects.
Story #4
Publishing without losing control. The editorial circuit we built.
At DyMagoo, web content is generated by an AI agent. But not without oversight: there are roles, states and human approval at every step. Here's the real circuit we use.
Contact

Let's talk about
your project.

Got a cloud, AI or automation challenge? Tell us about it. We reply within 48h.

We work until they no longer need us.

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