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Agent Evals with Private Task Suites (EXPLAINED)

Scenario BasedAI AgentsHard25 min read

Hard AI Agents interview question on agent evals with private task suites — architecture, trade-offs, eval, and production patterns.

TL;DR — Quick Answer

Public benchmarks overfit quickly — build private suites mirroring real customer workflows with hidden cases, tool mocks, and rubric scoring. Regression-test every prompt/tool change.

The Interview Question

Explain agent evals with private task suites. How would you apply this when building production AI agents? Cover architecture, safety, and evaluation.

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