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Learn five critical lessons for building successful AI applications through a 20-minute conference talk that challenges the conventional approach of focusing solely on prompt engineering. Discover why effective evaluations must speak for themselves by directly reflecting real-world user feedback and driving measurable product improvements. Explore how great evaluations require intentional engineering rather than ad-hoc testing, with systematic approaches to capture genuine user scenarios and outcomes. Understand the emerging concept of "context engineering" as the new frontier beyond prompt engineering, focusing on optimizing the entire context provided to AI models including tool definitions and their outputs. Prepare for the reality that new AI models can fundamentally change everything in your application, requiring flexible, model-agnostic architectures that can quickly adapt to the rapidly evolving AI landscape. Master the approach of optimizing the entire evaluation system rather than just individual prompts, taking a holistic view of AI application development that encompasses all components working together to deliver superior user experiences.
