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Similarweb shows its evaluation stack for deep-research agents
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Why it matters
- When research tasks have no single correct answer, production evaluation has to combine observable behavior, groundedness and comparative quality rather than rely on one score.
- Similarweb combines deterministic tool-call checks, rubric-scored LLM judges, faithfulness checks and A/B comparisons against saved baselines, all connected to execution traces.
Transcript
How @Similarweb evaluates a Deep Research agent when there's no single right answer:
✅ Deterministic checks for tool calls
✅ Rubric-scored LLM judges for quality
✅ Faithfulness checks against retrieved data
✅ A/B comparisons against a saved baseline
All wired to traces in
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