Golden Evals

Golden Evals are the quality gate between a prototype AI system and a production one. Instead of relying on vague confidence scores or human intuition, Golden Evals define exactly what questions the system must answer correctly, what the correct answer should look like, and how much variation is acceptable.

A typical Golden Eval set includes:

• Golden Questions — The actual questions executives and operators will ask. Each question is paired with a verified answer from a trusted source (a dashboard, spreadsheet, or analyst report).
• Expected Output Format — Whether the answer should be a single number, a table, a trend direction, or a ranked list.
• Tolerance Threshold — For numeric questions, the acceptable margin of error. For classification questions, the acceptable confidence floor.
• Regression Test Set — Questions the system got wrong in a previous version, kept as forever tests to prevent regression.

Brainforge runs Golden Evals as part of every semantic layer and AI system rollout. The eval results determine whether the system is trustworthy enough for executive dashboards, customer-facing copilots, or automated workflows. If the evals fail, the system does not ship.