Tool profile
Evaluation platform for testing, tracing, and improving AI apps with production feedback loops.
Evaluation
Braintrust is for teams treating AI quality as an engineering problem rather than a prompting hobby. It focuses on evals, scoring, traces, datasets, and production feedback loops so teams can measure, compare, and improve AI systems with more rigor.
That makes it much closer to infrastructure for AI quality than to an agent builder or chat interface. The core question is whether your team needs repeatable evaluation and observability discipline badly enough to adopt a dedicated layer for it.
Quick fit
Editorial take
Braintrust should be judged on whether it helps your team turn AI evaluation into a durable engineering practice. The strongest comparison set is Arize Phoenix, LangSmith, Weights & Biases, and internal eval tooling.
What it does well
Primary use cases
Fit notes
Compare with
Pressure-test this pick against nearby alternatives.
Agenta
Free planLLMOps
Open-source LLMOps platform for prompt management, evaluation, observability, and collaborative AI application development with a clear hosted pricing ladder.
Choose Agenta when the team wants collaborative prompt management, evals, and observability in one hosted workflow.
Pricing snapshot
Braintrust offers a free Starter plan. Pro is about $249/month, and Enterprise is custom.
AgentOps
Free planAgent observability
Observability for AI agents with tracing, debugging, session visibility, and production monitoring.
Closer to agent observability than to model hosting or prompt tooling
