AI with Javier
Three public case studies documenting applied AI systems in learning, human-centered workflows and large-scale knowledge production.
AI with Javier is built around public evidence, not only claims.
The public case studies show how generative AI and LLMs can be used to design structured systems, learning workflows, human-centered documentation, prompt-based processes and scalable knowledge production.
Each project was documented in a public-safe way so recruiters can review the type of thinking, structure, workflow design and AI collaboration involved.
AI applied to learning architecture, instructional systems and intelligent evaluation.
A public case study documenting an AI-assisted learning methodology, platform concept and intelligent evaluation ecosystem for structured learning experiences.
AI applied to human-centered workflows, talent insight and privacy-aware documentation.
A public case study documenting responsible AI-assisted workflows for talent profiling, vocational orientation, professional profiling and human-centered insight.
AI applied to large-scale knowledge architecture, long-form content systems and curriculum production.
A public case study documenting Human + AI workflows for large-scale knowledge production, books, courses, curriculum systems and long-form intellectual projects.
Different roles may require different evidence. Use this guide to review the most relevant project first.
Start with NPP.
Start with Human Empowerment.
Start with AI-Assisted Massive Intellectual Production System.
Start with the GitHub profile, then review the three case studies.
Explore the project detail pages to understand how each public case study connects with applied AI roles, recruiter review and demonstrated skills.
