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How do you make an LLM application reliable, according to Gaurav Sen's AI interview #4?

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

In Gaurav Sen's mock interview, candidate Tanishq says AI is non-deterministic, so reliability has to come from two practices: observability and evals. Observability records what the agent does, and evals test those records before the system goes to production. Tanishq argues that doing both is what makes an AI app usable in high-risk fields such as healthcare or finance.

▸In their words

“reliability equals to observability plus evals” Tanishq · at 1:12 — open in the transcript →

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

Q2What are agent traces in AI observability?Q3What are evals for AI agents, and how are they different from unit tests?Q4Which eval metrics does Tanishq recommend for an AI agent on Gaurav Sen's channel?Q5How do you measure groundedness for a RAG system or an AI agent?
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