Test Your AI Agents. Trust Their Actions.

SERVICES / EVALUATION PLATFORMS

Get real value from Braintrust experiments.

Independent planning and implementation for teams considering or using Braintrust: reviewed datasets, trustworthy scorers and experiments that drive release decisions.

Where Braintrust fits

01

Datasets as the source of truth

Braintrust organizes test cases into datasets that can be versioned and reused across experiments.

02

Experiments and comparisons

Each change can be run as an experiment and compared with previous ones, case by case.

03

Scorers and human review

Automated scorers, including its open-source autoevals library, sit alongside human review of individual results.

Common gaps we fix

01

Datasets that don't reflect reality

Test sets built from a handful of developer examples miss the journeys and edge cases real users bring.

02

Scorers nobody trusts

Model-graded scores that haven't been checked against experts lead to arguments rather than decisions.

03

Experiments without a decision rule

Lots of comparisons, but no agreed threshold for what counts as better enough to ship.

How we help

01

Curate representative datasets

Combine approved interactions, expert scenarios and reviewed synthetic cases, tagged by workflow, difficulty and risk.

02

Design and calibrate scorers

Code scorers for objective checks, rubric-based judges for quality, both validated against reviewer labels.

03

Set decision rules

Agree baselines, critical-failure rules and thresholds so experiment results translate into clear go or no-go calls.

Make it routine

01

Release integration

Run agreed experiments on relevant changes in your development workflow, with critical checks as gates.

02

Promote failures into tests

Confirmed failures from reviews become dataset cases, so fixed problems stay fixed.

03

Team enablement

We train engineers and reviewers to add cases, read results and maintain scorers after handover.

From scope to handover

01

Start with your inputs

Representative tasks, expected outcomes, platform access and a domain reviewer.

02

Keep reusable assets

Versioned datasets, scorer code and prompts, a baseline experiment, prioritized findings and a documented rerun process.

03

Support after handover

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.

Make your next decision with evidence.

Start with one workflow, clear success criteria, and an evaluation plan your team can use.

Plan an assessment