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An LLM judge scores every user reprompt for satisfaction. Each row shows two signals as % deviation from the table average: how positive users sound on average, and how often the model recovers after they push back.
Every agentic web dev app prompt is classified into one of fourteen buckets. This is the spread of what people actually asked for over the last 30 days.