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 LangSmith.
https://t.co/UvY5ijSvBG
LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
Why it matters
When research tasks have no single correct answer, production evalA repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.Full definition → has to combine observable behavior, groundedness and comparative quality rather than rely on one score.
