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Field notes on the messy edges of LLM-assisted analytics. Subscribe via RSS.

• May 22, 2026 #privacy#pii#trust

  What 'privacy' means when your copilot sees your warehouse

  Privacy in AI data tools is usually marketing language. Here is a more honest account of what the threat model looks like, what l0l1 actually does, and what it explicitly doesn't claim.

• May 1, 2026 #validation#architecture

  Validation as a first-class layer in AI data tools

  If LLMs are going to draft SQL, validation has to stop being a UI warning and start being an architectural surface. Here is how we think about it inside l0l1.

• Apr 12, 2026 #validation#llm#sql

  LLM-generated SQL is mostly correct — that's the problem

  Why 'looks right and runs' is the most dangerous failure mode for AI-generated SQL, and what a validation layer needs to catch before the dashboard updates.