Why Smarter AI Agents Still Break With Juhi Parekh (GM of Key Frontier AGI Accounts at Turing)
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Why Smarter AI Agents Still Break With Juhi Parekh (GM of Key Frontier AGI Accounts at Turing)
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In this episode of AI Explained, we are joined by Juhi Parekh, GM of Key Frontier AGI Accounts at Turing. Juhi brings experience across the full AI stack, from applied AI and foundation models to data infrastructure, with prior product roles at Apple, Amazon, Niantic, Spatial, and Samsung Research US, where she focused on commercializing frontier AI.
She explains how Frontier Labs curates hard datasets that maximize information gain rather than raw difficulty, why the sweet spot for reinforcement learning tasks is problems frontier models fail at least 30 percent of the time, and how long-horizon, real-world workflows are pushing agents to take on more complex work. She also shares the usual suspects when agents break in production (inaccurate tool calls, consistency gaps, permissioning, and output format), why training a capable model and building a reliable agent are two different problems, and why the winners will be the organizations that safely expand agent freedom as guardrails improve.