There are two common ways to analyse your data with AI ("Talk to your Data"): 1. Use powerful frontier models on the cloud — but hand over your data and pay per token 2. Use on-premise or local models — but accept weaker results and significant hardware costs

LocalFlow proposes a third approach I call "metadata-first AI": send only the schema to the LLM (column names, types, a few stats — never the actual values), and ask it to generate code that runs locally on your full dataset (scale it to millions of rows at zero additional token cost).

I'm curious what you think :)

Live demo (drop in any CSV): https://apps.localflow.fr/demo/ GitHub: https://github.com/localflow-ai/localflow-core