Braintrust provides a complete toolkit for building reliable AI applications .
Braintrust is a toolkit for teams building AI applications on top of large language models, aimed at developers and engineering teams who need to move LLM-based products from prototype to production with confidence. It combines evaluation, monitoring, and testing tools so teams can measure whether their AI features actually work before and after they ship. What Braintrust does Runs evaluations against LLM outputs to measure quality and correctness Provides real-time monitoring of AI applications in production Offers testing tools for validating LLM behavior before release Supports iterating on prompts and models with measurable feedback Who uses it Braintrust is built for teams shipping LLM-powered products who need a way to catch regressions, compare model or prompt changes, and keep track of how an AI feature performs once it's live. This includes engineers building customer-facing AI features, teams maintaining internal AI tools, and anyone responsible for the reliability of an LLM-based product in production. For a maker, Braintrust fits into the workflow between building a prompt or model integration and putting it in front of users: it gives a way to evaluate changes, watch for issues after deployment, and test new versions before they replace what's currently running, reducing the guesswork in shipping AI features. }eval-uator-1eeal-uator-2eal-uator-3eal-uator-4
