Use cases

l0l1 fits wherever LLM-assisted SQL meets a real warehouse. Four common shapes:

LLM-assisted SQL review

Catch “mostly correct” SQL before it ships to production.

For: Analytics engineers and data teams using LLMs to draft or fix SQL

Detect and anonymize PII before prompts or queries leave the room.

For: Teams whose analysts paste real data into chat windows and tools

Validation and PII scanning where analysts actually write SQL.

For: Analysts and engineers living in Jupyter and VS Code

Turn approved SQL into a shared, growing library of completions.

For: Data teams who keep reinventing the same queries