01
Train
Give the team sound judgment, a shared language and a way of working it can sustain.
About us
Developers who teach, build and apply AI in real systems
We help professionals and teams turn AI into a more reliable, transferable and useful way of working.
devexpert.yml
equipo: [antonio, nino]
we_do:
- train # Give the team sound judgment, a shared language and a way of working it can sustain.
- implement # Bring AI into real processes with clear permissions, data and observable results.
- build # Create software when existing tools force you to compromise on what matters.
principles:
- pragmatic technology
- transferable knowledge
- honest work
Instructors
Instructors who apply AI in real projects
Antonio and Nino combine software development, agent systems, automation, data and teaching experience. They work directly on both training and company projects.
tmux · devexpert
antonio@devexpert
Antonio LeivaGDE
DevExpert founder · Google Developer Expert
nino@devexpert
Nino RuanoAI · Big Data
AI and Big Data specialist · Instructor
It is a real shell (well, almost). Type help to see the commands.
A shared belief
AI creates value when it stops being an isolated conversation
Training, implementation and software come together when knowledge becomes a repeatable, shared and measurable system.
02
Implement
Bring AI into real processes with clear permissions, data and observable results.
03
Build
Create software when existing tools force you to compromise on what matters.
The bright side of development
Grow with technology without sacrificing your peace of mind
DevExpert was created to restore technology’s role as an enabler. We want professional progress to coexist with sound engineering judgment and responsibility.
We learn by building, separate the essential from the incidental and turn what we learn into paths that other people and teams can apply.
How we work together
The context never changes hands
The people who listen to the problem are the same people who challenge decisions and do the work. We share the same context, even when a challenge calls for a different mix of product, training, data or development.
listen together → decide with judgment → execute without losing context
Principles
How we decide what is worth building
01
Pragmatic technology
The most useful solution to the problem, not the flashiest one or the one that uses the most AI.
02
Transferable knowledge
The professional or team must be able to continue without depending on us indefinitely.
03
Honest work
No hype, invented case studies, impossible promises or borrowed authority.
Next step