Agents In Use
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5 Year AI Agent Engineer Interview When Evals Lie, Agents Fail Quietly

Source title: 5 Year AI Agent Engineer Interview When Evals Lie, Agents Fail Quietly. Source description: What happens when your AI agent looks healthy in production, but users are still getting bad results? A 5-year AI Agent Engineer interview on silent failures, eval drift, LLM-as-a-judge, trace-level evaluation, RAG data quality and guardrails. This is Episode 5 of the AI Agent Engineering interview journey on Kritya AI Labs. The agent doesn't crash. The dashboards look normal. Task completio

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Source title: 5 Year AI Agent Engineer Interview When Evals Lie, Agents Fail Quietly. Source description: What happens when your AI agent looks healthy in production, but users are still getting bad results? A 5-year AI Agent Engineer interview on silent failures, eval drift, LLM-as-a-judge, trace-level evaluation, RAG data quality and guardrails. This is Episode 5 of the AI Agent Engineering interview journey on Kritya AI Labs. The agent doesn't crash. The dashboards look normal. Task completio

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The title and description alone do not establish the agent autonomy level.

Agents In Use pipeline: video selected by TypeSafe Jev using source title/description only; recording and outcomes not independently verified.

Credit: KRITYAAILABS

Source published 7 Oct 2026

Source checked 14 Oct 2026

Tools and topics

AI agent

video · agent-demo

Editorial completeness: 75/100. Measures documented fields, not agent performance or verified outcomes.

Video notes

KRITYAAILABS · YouTube

  • Source title: 5 Year AI Agent Engineer Interview When Evals Lie, Agents Fail Quietly