Editing Openai/691a41cd-2efc-800c-9eff-de439224a90d (section)

===== SAIQL is designed to be both: =====
# The “brain” language – what you or an AI thinks in about your data.
# The compiler – it translates SAIQL → SQL / NoSQL / vector / filesystem ops.

Workflow:
# You define your semantic mapping once: - “This customers table’s closed_at means the churn date.” - “This payments table’s status = 'failed' is a failed payment event.” - “This log stream + these docs are all related to incident reports.”
# SAIQL stores that mapping in LoreTokens (your semantic schema).
# When you ask a question like: >  SAIQL: - Knows which tables and fields correspond to those concepts. - Compiles a correct, tested SQL query (or multiple queries across systems). - Executes them deterministically. - Returns results back in a semantic structure (LoreTokens), which AI can then summarize, visualize, or act on.
# If your schema changes later (“we renamed closed_at to churned_at”): - You update the semantic mapping once. - All SAIQL queries that use the “customer churn” concept still work.

So SAIQL acts as a stable semantic API over unstable physical schemas.