Can AI reliably discover and verify high-quality jobs without creating more noise?
An AI-assisted workflow for finding, verifying, and organizing job opportunities without multiplying noise.
AI Job RadarI'm Andrés. I like understanding complicated things, building useful things, and writing down what I learn along the way.

The questions directing what I build and study next.
An AI-assisted workflow for finding, verifying, and organizing job opportunities without multiplying noise.
AI Job RadarA public framework and demo vault for turning saved ideas into linked concepts, questions, and useful synthesis.
Hidden ConnectionsA reproducible analysis that connects research funding, publication activity, topics, institutions, and scientific impact.
Research Landscape AtlasA private family journal designed to make recording small memories quick enough to become a habit.
Little LogExperiments become useful when I write down the decisions, failures, and surprises.
All field notesWhat building a job-search system taught me about context, verification, failure analysis, and human judgment.
Related experiment: AI Job RadarHow a repetitive spreadsheet task changed AI from an interesting search tool into a practical way to build.
Related experiment: Interactive CV
What becomes visible when research funding, publications, topics, and institutions are examined together?
A research landscape becomes useful when every visual can be traced back to a defensible source and method.
Open experimentA dated record of what I am making, noticing, and learning.
Reorganized the site around active questions, connected experiments, field notes, reading, and a chronological notebook.
Rebuilt the site as a tactile research folder for projects, writing, books, and a concise professional story.
Documented why a reliable job-search system needs context, verification rules, failure analysis, and human judgment.
Traced how one repetitive spreadsheet problem led to an R script, an interactive CV, and a habit of learning by building.
A small shelf of ideas, worlds, and mental models that stayed with me.
Browse the reading shelfField notes collect what worked, what did not, and what surprised me while I was learning or building.