Both score and evaluate AI agents. If you're weighing them against each other, here's how they differ — plus a third option worth knowing about if your goal is shipping the fix, not just measuring the failure.
Both are evaluation platforms with slightly different focus. Braintrust leans toward building eval pipelines and datasets. Galileo leans toward monitoring with guardrails. The right choice depends on whether you're building eval infrastructure or want quality scoring with runtime protection.
Yes. Braintrust and Galileo measure agent performance. Converra closes the loop by generating, simulation-testing, and shipping fixes. They are complementary — pick the evaluation tool that fits your team, then add Converra for autonomous improvement.
Evaluation tells you how your agent is performing. Optimization changes the agent to perform better. Braintrust and Galileo evaluate; Converra optimizes by diagnosing failures, generating prompt variants, simulation-testing them head-to-head, and deploying the winner.
If you're comparing Braintrust and Galileo, you're at the stage where evaluation matters. The next question is what to do with the failures you find. Converra answers that — it turns evaluation results into shipped, tested fixes without engineering cycles.
Individual comparisons: vs Braintrust · vs Galileo · LangSmith vs Braintrust · all comparisons
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