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This episode explores the essential mindset shift required for digital transformation: treating AI agents as evolving products, not static, one-time projects. Learn why projects deliver temporary wins while products create compounding value and sustained ROI. The discussion focuses on practical principles like logging unknowns and capturing failures and implementing Feedback Loop Integration to ensure agents grow smarter, more trusted, and aligned with evolving user needs. Embracing iteration prevents stagnation and obsolescence amid rapid model updates

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