Prompt Engineering Is Dead. Context Engineering Is Dying. What Comes Next Changes Everything.

Summary

The transcript explores the critical challenge of "intent engineering" in enterprise AI, using CLA's customer service AI as a case study. The key insight is that AI systems must be designed to optimize for an organization's true purpose and values, not just measurable metrics like resolution speed. The practical takeaway is the importance of encoding organizational intent, decision boundaries, and nuanced goals into AI systems to ensure they align with the company's broader strategic objectives, rather than narrowly focusing on quantitative performance indicators.