AI · 2026-10-24 14:39
The article proposes an AI-native research lifecycle for AI product teams: identifying scenarios worth applying AI to, defining success criteria, evaluating models with real users, and continuously monitoring trust after launch—emphasizing that researchers should be involved across every stage rather than only running tests.
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