Braintrust
Run systematic evals on your LLM application so every prompt change, model upgrade, or retrieval tweak is backed by evidence — not guesswork.
Overview
Braintrust is an AI evaluation and experiment platform for teams that ship LLM applications and need systematic ways to know whether changes actually improve quality. It provides a structured workflow for building eval datasets, running scoring functions, comparing model outputs across experiments, and tracking quality over time — so you can upgrade a model, change a prompt, or swap a retrieval strategy with evidence that it's better before deploying. Engineers at companies like Stripe and Vercel use it to run evals as part of their CI/CD pipeline, catching quality regressions before they ship. Integrates with the LLM providers and frameworks teams are already using.
Key Features
- Eval dataset management
- Custom scoring functions
- Experiment comparison
- CI/CD integration
- Prompt playground
- Production monitoring
- • Best-in-class for systematic LLM evaluation workflows
- • Integrates into CI/CD so evals run on every change
- • Strong support for complex multi-step agent evaluation
- • Overkill for simple single-prompt applications
- • Takes time to set up meaningful eval datasets