You can't unit test for taste
Summary
A detailed case study of building a POI (points of interest) data pipeline for a running app, describing data sourcing with GeoNames, processing with Python, Parquet, and DuckDB, and later enrichment with LLMs. The author discusses bias, hallucinations, evaluation challenges without ground truth, and per-route tuning to balance data quality and coverage.