Identify AI model overuse with User Insights
When we launched User Insights last month, we wanted to help teams answer a basic question: What are people actually doing with AI?
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Key points
- User Insights gives teams a clearer view of their AI usage, showing which users, applications, tasks, and models are driving traffic.
- Since launch, we’ve heard from users that model names and request counts only tell part of the story.
- User Insights now shows when a model may be more capable than a task requires, which of your users and agents are driving that usage, and how the task, model, cost, and conversation patterns relate.
- Why AI usage is hard to understand
Sources (1)
- [1]Identify AI model overuse with User InsightsCloudflare Blog: AI · Sep 30, 01:00 PM
When we launched User Insights last month, we wanted to help teams answer a basic question: What are people actually doing with AI?
User Insights gives teams a clearer view of their AI usage, showing which users, applications, tasks, and models are driving traffic.
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