BrainTrust

LLM Evaluation and Logging Platform

BrainTrust is an AI evaluation and logging platform purpose-built for debugging and improving LLM applications. It provides the infrastructure for running structured evaluations of LLM outputs, managing prompt datasets, tracking experiment results over time, and comparing model and prompt performance — the essential toolkit for teams that need to systematically improve AI application quality.

Evaluation-Driven LLM Development

BrainTrust is built around the idea that improving LLM applications requires structured, repeatable evaluation. Users define test datasets, write evaluation scorers (either AI-based or custom code), and run evals that automatically test their LLM application against the dataset. Results are tracked over time so teams can confidently measure whether a prompt change or model switch actually improves quality.

• Structured LLM evaluation with custom scorers
• Dataset management for evaluation test cases
• Experiment tracking with side-by-side comparison
• Production logging with eval scoring of live traffic
• Integration with all major LLM providers and frameworks

For Teams Shipping AI

Product and engineering teams shipping LLM-powered features use BrainTrust to replace ad-hoc vibe-checking of AI outputs with rigorous, data-driven evaluation. The platform enables them to iterate confidently by knowing whether changes improve or degrade quality before shipping to users.