Braintrust
Braintrust is an agent quality company represented in the wiki by several AI Engineer talks on agent evals, observability, benchmark design, and evaluation maturity [src-088].
Key facts
- Type: Agent quality / evals / observability company
- Source role: Phil Hetzel frames evals and observability as two sides of the same confidence problem: pre-production evals help teams become confident, and production observability helps them remain confident [src-088].
- Evaluation stance: Braintrust's talks distinguish evals from unit tests. Agent evals should start from real failure modes, domain expertise, production traces, and scoring functions rather than trying to enumerate every possible input [src-088].
- Observability stance: Agent observability must inspect traces, tool calls, model choices, cost, latency, external system state, and quality outcomes, not only service uptime or request errors [src-088].
Related concepts
- Continuous Agent Evaluation
- Agent Observability Maturity
- LLM Observability
- Spec-Driven Agent Testing
- Harness Engineering
Source references
- [src-088] AI Engineer late-May 2026 channel update (48 transcripts, 2026-05-15 to 2026-05-31)
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From 494 indexed pages and articles.
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- Wiki concept Spec-Driven Agent Testing The practice of defining an agent's intended role, task boundaries, rules, domain vocabulary, permissions, and robustness expectations before judging Related by 088
- Insight AI Measurement and Experimentation How to measure AI product impact with evals, adoption metrics, online experiments, guardrails, and cost tracking Related by quality