Braintrust

Capture traces of agent interactions.

Identify failure modes using Braintrust's analysis tools.

Refine prompts and scorers with Loop.

Run comprehensive evals to measure accuracy improvements.

Monitor production performance to ensure ongoing quality.

Set up quality and safety gates using evals.

Automate tests on every prompt change.

Layer human feedback to capture nuanced issues.

Configure alerts for quality thresholds.

Roll back changes if regressions are detected.

Use playgrounds to tune prompts and swap models.

Compare traces side-by-side to see changes.

Run prompts against real examples to understand performance.

Automate prompt writing with Loop.

Measure changes against benchmarks to make data-driven decisions.

Ingest and store application logs with Brainstore.

Query and filter logs to analyze AI interactions.

Track latency, cost, and quality metrics in real-time.

Configure alerts for safety rails.

Use granular permissions to manage access control.

Engineers write code-based tests.

Product managers prototype in the UI.

Review results and debug issues together in real-time.

Share a common understanding through Braintrust's framework.

Utilize intuitive interfaces that make AI development accessible to everyone.