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AI Summary
- AI products differ fundamentally from software because they're probabilistic, not deterministic—requiring iterative flywheel approaches that continuously improve with real usage data
- Customer trust and reliability are underrated but critical success factors; companies obsessing over these factors build stronger products than those focusing solely on accuracy metrics
- Evals aren't a cure-all; successful AI builders focus on patterns like bias detection, failure modes, and edge cases while avoiding common misconceptions about evaluation rigor