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Eval & Guardrail Platform

Eval & Guardrail Platform

Design a platform to evaluate LLM/agent quality and enforce safety guardrails in production.

Key Requirements

  • Offline eval: versioned datasets, graders, regression gating in CI
  • Online eval: production sampling, human feedback, A/B
  • Defense-in-depth guardrails (input + output) with a latency budget
  • LLM-judge calibration against humans (judges can be gamed)
  • A data flywheel: prod failures → new eval cases → fixes

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