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Feature Flags for AI Features Are Broken If You're Using Them Like Traditional Flags
Most teams copy their existing feature flag infrastructure to AI features and assume the same rollout logic applies. It doesn't — and the gap between what traditional flags measure and what LLM deployments actually require can hide serious quality failures until they're already at scale.
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RAG Isn't Solving Your Retrieval Problem — It's Hiding It
Most teams reach for RAG the moment they need an LLM to 'know things' — but RAG is an answer to a specific question, and most teams haven't asked that question yet.
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Your AI Evals Are Measuring the Wrong Thing
Traditional ML metrics like accuracy and F1 tell you if your model is smart — not if your shipped feature will be used or trusted. Here's the eval stack PMs actually need.