AI Semantic Layer Workbench dbt / Cube Spec Standard

Interactive Model & Metric Graph

Raw Schema Table Semantic Metric
Drag nodes to re-arrange • Hover/Click to inspect metadata

Natural Language AI Prompt Testbench

Simulated LLM Agent

Click a scenario prompt or type your own question to test SQL generation context accuracy:

Context Accuracy Score
98% High Reliability

Semantic filters applied properly

Metric Drift Prevented
100% Zero Fanout

Canonical formula enforced

Agent SQL Translation Comparison

Live SQL Diff
Raw Warehouse Agent SQL ⚠️ Missing Filters / Drift Risk
-- SELECT region, SUM(gross_amount_cents)...
Semantic-Aware Agent SQL ✓ Canonical Business Logic
-- SELECT raw_users.region AS region, SUM(...
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