AI-Powered Deduplication: How LLMs Supercharge the Golden Suite

You have 52,288 school records from the UK government's Get Information About Schools register. Half are open, half are closed. Schools that converted to academies appear twice — once as the closed LA school and once as the new academy, same postcode, slightly different name. "Kingsgate Junior School" (Closed) becomes "Kingsgate Primary School" (Open). "Primrose Hill Infant School" (Closed) becomes "Primrose Hill School" (Open). GoldenMatch's fuzzy matcher catches these. But it also finds 820 data quality findings, some of which are noise. And borderline pairs — "The Hall School" appearing at three different postcodes — need human-like judgment to sort out. That's where LLMs come in. What LLM Boost Does Three Golden Suite tools have optional LLM integration. Each solves a different problem: Tool Feature What It Does Cost (52K rows) GoldenCheck scan_file_with_llm() Catches data quality issues profilers miss, upgrades severity on real problems ~$0.01 GoldenFlow category_llm_correct Corre