Ángel Royo

Industrial Engineer · AI Implementer · Professor

Engineer
who delivers
real value

I implement artificial intelligence in the real world: from swimming pools to classrooms. Technology is only worth it if it solves something.

A life building systems

Before talking about AI,
I learned to serve
in the real world.

Clients, factory, after-sales, finance, homeschooling, and real families. My work with technology was born there: where decisions have consequences and value must be proven.

01
01

Home

Family can also be a work of art. PadresEducadores was born at home and became a method, a community, and accompaniment.

02
02

Field

More than two decades facing real problems of operations, service, production, and customers.

03
03

System

Artificial intelligence comes later: as a tool to organize, decide, accompany, and free up time.

Evidence of trajectory

What I built is not theory

Industry

20

+ years

Real operations in the pool industry: customers, factory, after-sales, finance.

Family

70

+ attendees

PadresEducadores: public community of homeschooling families. Navegador Talks with more than 70 attendees among teachers, professionals, and administrative staff.

Applied science

USACH

Faculty of Engineering

Professor at the Faculty of Engineering. AI implementation courses with functional projects. Recent certifications in educational AI, machine learning, and applied deep learning.

Systems

AI

applied

PiscinerIA, Smart Pool. Plan Academia (PadresEducadores): children and young people applying AI to real market problems. Systems that solve real problems.

Recent certifications

2026 credentials in applied AI, education, and machine learning.

USACH

May 2026

Artificial Intelligence applied to planning, assessment, and learning resource design

Participation certificate from the Department of Educational Innovation, Academic Vice-Rectory. 16 hours, 100% attendance, grade 7.0.

Education + AI

LYN Biolearning

February 2026

Machine Learning and Deep Learning in Biomedicine

Course completion certificate. Complementary technical training in applied machine learning and deep learning.

ML + DL

Three worlds where criteria applies

Business, family, and academia.
The same method: understand before automating.

01 Business real operations
Criteria observe · decide · build
02 University classroom with AI
03 Home living learning
01

Business

PiscinerIA was born from a real need: serving customers, resolving after-sales, filtering leads, and scaling without losing the human connection. It is not a chatbot. It is a decision system trained in the field.

Active systems

  • PiscinerIA — customer service agent
  • Smart Pool — IoT and automation
02

Family

PadresEducadores.org started in our classroom. Today it is a community, method, and accompaniment for families that homeschool. Technology enters when it helps, not when it imposes.

Initiatives

  • PadresEducadores.org
  • Navegador Talks
  • Plan Academia — ML for youth
03

Applied science

At USACH I teach AI implementation: students leave with working projects, not theory they will forget. Active research in pedagogical redesign for the classroom with generative AI.

Programs

  • USACH — Industrial Engineering
  • Socratic AI Protocol — teaching research

My thesis on AI and education

AI does not replace criteria.
It puts it to the test.

Artificial intelligence has already entered the classroom, the workplace, and the home. The question is not whether it will be used. The question is whether we will use it to think less or to think better.

My work unites three real laboratories: business, university, and home. In all three, technology only serves when it forces us to observe, reason, justify, build, and decide better.

Socratic AI Protocol

A model for redesigning the classroom when AI is already inside.

The final result is not the only thing evaluated. The reasoning trajectory is evaluated: thinking before asking, contrasting responses, justifying decisions, building evidence, and defending what was done.

View protocol

Concrete projects

Systems born from real problems

01

PadresEducadores.org

Community · Resources · Accompaniment

What happens when a family decides to homeschool and finds no accompaniment. It was born in our home, grew as a community.

02

PiscinerIA

AI Agent · Customer Service · Automation

An agent that serves, filters, escalates to humans when necessary, and learns from every conversation. Trained in the pool industry field.

In development
03

Plan Academia

PadresEducadores · Machine Learning · Youth · Real Problems

Children and young people learning applied AI to think with criteria and build solutions. They do not need to wait for university.

In development
04

Smart Pool

IoT · Automation · Pool Industry

Sensors, data, and automatic decisions applied to real pool operations. Intelligent monitoring and predictive management.

In development
05

Socratic AI Protocol

Teaching Research · USACH · Faculty of Engineering

How do you teach engineering when your students have unlimited access to generative AI? You do not prohibit it. You redesign the class. A 5-session protocol that forces thinking before asking.

Field notes

What I observe in real work

"In operations, value appears when a response arrives on time, scales well, and leaves traceability. AI does not replace criteria: it amplifies it when properly trained."

On agents and operations

"The family that homeschools does not need more content. It needs criteria, community, and tools that respect its rhythm. Technology should be invisible when it works."

On education and technology

"Students do not need more theory about AI. They need to build something that works, explain it, and defend it. That is what the market will ask of them."

On technical teaching

"The university does not have an academic honesty problem with AI. It has an instructional design problem. If you only evaluate the final product, AI solves it. If you evaluate the reasoning trajectory, AI becomes a tool — not a shortcut."

On AI and higher education

Topics I write and teach about

Lines of work

01

Applied AI

Implementation of agents, process automation, systems integration. Redesign of university teaching in the context of generative AI. What works in production and in the classroom, not in slides.

02

Homeschooling

Homeschooling with purpose, community of families, technology integration without losing essence.

03

Decision systems

How to use data and AI to organize, prioritize, decide, and free up time for what matters.

Do you want to design an experience where AI helps you think better?

I work with companies, educational institutions, and families who want to use technology without losing human criteria.

Let's talk