What Braintrust does
Braintrust (braintrust.dev) is a developer platform for building and running AI products—focused on agent/LLM evaluation, production observability, and experiment workflows. The company positions its system as “active observability” for agents in production: teams trace agent behavior (including prompts, outputs, and tool calls), turn production behavior into versioned datasets, run evals/scores against those datasets, and then use results to gate regressions and improve quality continuously.
Braintrust’s product is organized around three core pillars: Trace everything (inspect agent traces and tool calls in production), Evals (run experiments and score outputs using automated methods, code, or human review), and Discovery (automatically surface recurring patterns worth investigating and promoting into datasets and eval workflows). The platform also supports CI/CD-style release gating, and offers developer interfaces meant to integrate with coding workflows via SDKs, a command-line interface (Braintrust CLI), and an MCP server for AI coding agents.
Target users include cross-functional teams that ship AI systems with non-deterministic behavior—engineering, product, and ML teams at companies building agentic applications. Braintrust’s stated customer outcomes emphasize faster iteration cycles and tighter feedback loops between production traces and evaluation/experimentation.
Strategically, Braintrust has been moving from early “eval and trace” capabilities toward a broader production-grade AI quality loop, adding features such as Topics (active pattern discovery), Behavior specs as an open standard for long-horizon agent supervision, and production tooling centered on code/CI integration (Functions, Braintrust CLI, and MCP).