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  "text": "Generic evals and metrics don’t reflect real-world failure modes.\n\nYou need customized, domain-specific evals explicitly tailored for your application or agents for true reliability.\n\nOn this week’s Chain of Thought podcast, AI consultant and evaluation expert @HamelHusain breaks down why most teams experience “the illusion of monitoring” when using generic metrics that don’t account for real production failures.\n\nInstead of chasing dashboards, Hamel argues for:\n\n – Manual error analysis grounded in real user logs\n – Custom metrics aligned to product risks, not vanity\n – Iterative feedback loops that surface failure modes over time\n\nLearn more about creating customized evals tailored to your domain-specific risks in this week’s episode with Hamel, our COO and Co-founder @atinsanyal, and host @ConorBronsdon 👇",
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