Braintrust

Braintrust is an AI evaluation and observability platform for teams building production LLM applications. It helps developers trace AI workflows, run evaluations, compare prompts and models, manage datasets, and create quality gates before releasing AI features to users. The platform is designed for the hard part of AI product development: knowing whether an AI system is actually getting better. Teams can log traces, review outputs, test prompts, automate evals, compare versions, and monitor quality over time. This is useful for chatbots, agents, RAG systems, support tools, coding assistants, internal copilots, and any product where model output quality matters. For founders and SaaS builders, Braintrust can reduce the risk of shipping unreliable AI features. Instead of relying only on manual testing or gut feeling, teams can build repeatable evaluation workflows and catch regressions when prompts, models, retrieval settings, or agent logic change. Braintrust is especially relevant for technical teams moving beyond prototypes. Once real users depend on an AI workflow, debugging, evaluation, and production monitoring become essential. On FutureStack, Braintrust belongs in Developer Tools as a serious AI infrastructure platform for teams that care about LLM quality, reliability, and measurable improvement.