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Which eval metrics does Tanishq recommend for an AI agent on Gaurav Sen's channel?

Answered from AI Interview Questions #4 - Evals in AI · Gaurav Sen · 2026-08-12

Tanishq names three: answer relevancy, which checks that the response addresses the user's actual question; groundedness, which checks that the answer sticks to the context it was given and does not hallucinate; and tool sequence accuracy, which checks that tools run in the expected order. A flight-booking agent that searches flights before fetching user data would fail the third check.

Source: our own transcription of the episode. The full conversation is on Gaurav Sen (2026-08-12). Read the whole episode summary →

▸More from this episode

Q1How do you make an LLM application reliable, according to Gaurav Sen's AI interview #4?Q2What are agent traces in AI observability?Q3What are evals for AI agents, and how are they different from unit tests?Q5How do you measure groundedness for a RAG system or an AI agent?
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