Plurai
Generate and deploy custom AI agent evals without labeled data
Visit Plurai →Plurai lets developers define what their AI agent should and should not do in plain language, then automatically generates training data, validates it, and deploys a custom evaluation and guardrail model. It uses small language models to achieve sub-100ms latency and significantly lower cost than GPT-as-judge approaches. Built on published research (BARRED), it targets teams needing always-on reliability monitoring without annotation pipelines.
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For AI agents: machine-readable markdown version of this page at
/tools/plurai.md,
or send Accept: text/markdown.