What is an agent eval?
An agent eval is a repeatable test that scores an agent's behaviour on a fixed set of scenarios, run in CI like any other test suite.
Read the full answer6 answers
Agent evals.
How to measure whether an agent is working, before and after it reaches production.
How many eval cases do you need for an LLM agent?
Enough that a one-point score move is larger than the noise — usually 200–500 scenarios per agent role, not a handful of spot checks.
Read the full answerIs an LLM judge good enough, or do you need human evaluation?
An LLM judge is good enough for continuous scoring once it is calibrated against human labels — the humans set the ruler, the model reads it.
Read the full answerHow do you evaluate a multi-agent system?
Score each agent against its own role contract, then score the system end to end — most multi-agent failures are handoff failures, not reasoning failures.
Read the full answerWhat metrics should you track for a RAG system?
Split retrieval from generation: recall and precision on the retriever, groundedness and answer quality on the generator. A single end-to-end score hides which half broke.
Read the full answerWhen should you start writing evals for an AI feature?
Before the second prompt change. The moment you cannot tell whether an edit helped, you have already needed evals for a while.
Read the full answerReady when you are.
Tell us one thing your business does by hand today. In two weeks, we’ll show you how superintelligence would do it.
Not sure yet? Take the 3-minute readiness check, or write to growth@binaryailabs.com