Enrique Gutiérrez Álvarez

Enrique Gutiérrez is a professor of Computer Science at the Universidad Politécnica de Madrid (UPM) and a research affiliate at the Massachusetts Institute of Technology (MIT). He works on natural language processing, algorithm design, and AI agents. His recent work turns large language models into dependable instruments: agents that classify and score real-world language, including clinical text, using explicit rubrics, carefully chosen examples, and outputs that can be checked rather than merely trusted. That habit of asking *what signal verifies this system?* before granting it autonomy is the thread that runs through this book. He writes for engineers who want to build with agents without either the hype or the dread.