L2P — Logic to Product
Intelligence at Work HackathonMoving data is easier. L2P moves the business knowledge embedded in existing reports and source models into tested, reusable Snowflake data products. A Claude-powered Builder agent retrieves synthetic HANA, Qlik and Spotfire definitions, traces their meaning, creates a candidate product, and runs eleven deterministic contract checks before release. A separate Analyst agent consumes the released product through a guarded semantic view. Our demo shows why totals and row counts alone are insufficient: a join duplicates invoice contributions and inflates sales. The release gate rejects it. A corrected product passes validation, receives a versioned release, and supports a verified customer ranking. The prototype uses fictional Northstar Supply data and synthetic report definitions. No employer data or proprietary assets are included.
Team
