Pipeline StudioTM
Pipelines, not tickets.Hours, not weeks.
- analyst describes it
- built to your standards
- lands as a PR
requesttestsproduction DAG
[ how it works ]
Describe it, watch it build, review the proof.
zingle ~ describe
Analyst request
[ semantic layer ]
One semantic layer, generated from your dbt graph.
Authored for you
Nobody writes it by hand
It comes from your dbt graph: model definitions, lineage, SQL and docs. So it matches the code, not someone's memory of the code.
semantic_layer.yml
Autometric:name: monthly_recurring_revenuetype: sumsql: amount_usdsource_model: mart_revenuevalidated: true
Generated
[ pipeline generation ]
Describe what you need. Get a production pipeline back.
Full pipeline
Full pipeline
Describe a new segment in plain English. Zingle writes sources, stage, mart, tests, DAGs, and the semantic update. Hours, not weeks.
pipeline_output.log
Live# request: promo non-converters, 30d
✓ Source: raw_promotion_events
✓ Stage: stg_promo_engaged
✓ Mart: mart_promo_non_conv
✓ Tests: 4 generated
✓ DAG: dag_promo.py
Ready for PR review
[ read next ]
use caseData SandboxWhere Claude safely runs real data work.Read →run log · ML platform teamFeature sets: 3 days to 1 PREleven attempts, four hours, zero drift.Read →essayWhy data is differentRL dies on the reward function. Data was born with one.Read →
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