Field thesis
Public systems are frontier research environments.
LATAM gives us brittle portals, fragmented law, weak APIs, and Spanish-language gaps. We turn those constraints into inspectable AI systems.
field Public friction Government portals, fragmented law, and civic data become research settings.
artifact Inspectable systems Every claim should point to a corpus, benchmark, run, interface, or repo.
setting LATAM Spanish Language and institutional gaps are treated as first-class evaluation targets.
Lab apparatus
From public friction to reusable evidence.
Question, corpus, eval, agent, interface, research log.
- Question
A research question tied to a real civic system.
- Dataset
Public data made reusable, versioned, and citable.
- Eval
A harness that can make the idea fail in public.
- Agent
Retrieval or tool-use systems built from the artifacts.
- Prototype
A working surface people can inspect or reuse.
- Paper/log
The argument linked back to code, data, and runs.
Current programs
Four lines of work.
Legal AI, language evals, gov adapters, and civic data systems.
Legal AI legalize-pe / amicus
Open legal corpora, retrieval evals, and citation-grounded assistants for Peruvian law.
Corpus, SDK, paper track Language evals LatamBench
Latin American Spanish evals that separate correctness, abstention, and hallucination.
Harness, judge artifacts Gov adapters sunat-cli / seace / jne
Agent-first CLIs that turn hostile public portals into reliable tools.
Adapters, audit logs Civic data systems peru-financia / political-graph
Public data products for finance, elections, and institutional relationships.
Maps, graphs, datasets