Brussle
Calibrate the confidence of AI judgments based on your data.
Introduction
Brussle solves a very specific problem: a model says it is “96% sure,” but no one has verified whether that number is accurate in your business context. It uses your own data to calibrate the confidence of each model judgment, recalculating when the records the model reads change and refitting when the model is updated.
The official website gives an example of using it to correct scoring bias in gpt-6-luna. Integration works by handing a prompt to Claude Code, Codex, or Cursor and letting the coding agent complete the integration itself. It is suitable for technical teams that use models for automated decisions such as classification, scoring, and approvals.
Visits：10
Updated：2026-11-07
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