AI product

Braintrust

Braintrust is an AI observability and evaluation platform for agents and other AI systems. It traces production prompts, responses, tool calls, latency, cost, and quality; supports searching logs, real-time trace inspection, dashboards, and custom views; and runs experiments against versioned datasets with scoring by LLMs, code, or humans. Teams can turn production traces into evaluation datasets, compare prompts and models, investigate recurring failures through natural-language queries, and use the results to identify regressions and improve agents. Braintrust provides native SDKs for Python, TypeScript, Go, Ruby, C#, and other environments, an MCP server for querying logs and running evaluations from an IDE, and Brainstore, its database and query engine for AI data. The platform states that it supports framework-agnostic integrations, SOC 2 Type II certification, GDPR and HIPAA compliance, SSO, role-based access control, and hybrid deployment options.

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What Braintrust is used for

3 uses taken from transcripts — each links to the moment in the video.

  • An AI evaluation and observability platform used to run experiments, compare results, query traces, monitor production logs, and create dashboards for AI systems.

  • Provides AI agent tracing, observability, evaluations, online scoring, Topics, dashboards, datasets, and remote evaluations.

  • A platform focused on agent quality, helping teams build confidence in AI agents through evals before production and observability/monitoring after deployment. It logs production traces, supports side-by-side experiments for non-technical users, and can surface failure insights automatically.

Videos mentioning Braintrust

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