Verifier
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A verifier is a component of a Private Benchmark pipeline that evaluates agent outputs by analyzing the final state, execution trace, and any produced artifacts to determine whether the agent succeeded at a given task.
Role and Function
Rustem Feyzkhanov (Snorkel AI) advocates for the verifier as a core element of private benchmark construction for agent evaluation. In his framing, after an agent completes a task, the verifier takes as input three distinct sources of evidence — the final state of the environment, the agent's execution trace, and any artifacts produced — and uses them to render a judgment on task completion. 9:57
Implementation: LLM as a Judge
One concrete implementation strategy Feyzkhanov endorses is using an LLM as a judge as the verifier. This approach delegates the verification decision to a language model, which can handle the open-ended, multi-modal nature of agent outputs — such as inspecting traces and artifacts — more flexibly than rule-based checks. 11:17
Relationship to Evaluation Infrastructure
The verifier sits within the broader evals ecosystem as the component that closes the evaluation loop: agents act, and verifiers assess. Its position as part of a private benchmark means it operates on proprietary tasks and environments, enabling teams to measure agent performance on domain-specific criteria that public benchmarks cannot capture.