Datasets as the source of truth
Braintrust organizes test cases into datasets that can be versioned and reused across experiments.
SERVICES / EVALUATION PLATFORMS
Independent planning and implementation for teams considering or using Braintrust: reviewed datasets, trustworthy scorers and experiments that drive release decisions.
Braintrust organizes test cases into datasets that can be versioned and reused across experiments.
Each change can be run as an experiment and compared with previous ones, case by case.
Automated scorers, including its open-source autoevals library, sit alongside human review of individual results.
Test sets built from a handful of developer examples miss the journeys and edge cases real users bring.
Model-graded scores that haven't been checked against experts lead to arguments rather than decisions.
Lots of comparisons, but no agreed threshold for what counts as better enough to ship.
Combine approved interactions, expert scenarios and reviewed synthetic cases, tagged by workflow, difficulty and risk.
Code scorers for objective checks, rubric-based judges for quality, both validated against reviewer labels.
Agree baselines, critical-failure rules and thresholds so experiment results translate into clear go or no-go calls.
Run agreed experiments on relevant changes in your development workflow, with critical checks as gates.
Confirmed failures from reviews become dataset cases, so fixed problems stay fixed.
We train engineers and reviewers to add cases, read results and maintain scorers after handover.
Representative tasks, expected outcomes, platform access and a domain reviewer.
Versioned datasets, scorer code and prompts, a baseline experiment, prioritized findings and a documented rerun process.
We can retest fixes, extend coverage to new Braintrust workflows or move to recurring Managed Evaluations as your agent changes. Platform usage and licenses stay in your account.
Start with one workflow, clear success criteria, and an evaluation plan your team can use.