February 24-26, 2027
Montreal, Canada

Your Evals Are Lying to You

Passing evals and rising velocity feel like proof that an AI feature works, but both can mislead. This talk explains 4 ways offline evals deceive teams, including an LLM judge that rewards confident wrong answers, then fixes one live with a small rubric change. Attendees learn what to measure instead: traces, production observability, probe-based evaluation, error budgets and quality indicators beside every velocity number.

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Tejas Kumar

IBM

Tejas Kumar is an AI Engineer at IBM, based in Berlin, Germany. He is the best selling author of Fluent React (O'Reilly) and the host of the ConTejas Code podcast. He has been building on the web for over 25 years and has given 80 recorded talks at 64 events since 2012. He speaks on AI engineering, agent harnesses, React and the web platform.

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