Product Analytics for Agents and Users
Optimize Agent Actions with User Behavior.
What it does
Kubit helps product engineers optimize AI agents with user behavior. Connect agent traces directly to user activities to see exactly why users re-prompt, drop off, or convert. Then, feed those insights straight into your coding agent to build AI products that actually stick. Start instantly with seamless integrations via OTel, your CDP, or Bring Your Own Warehouse (BYOW).
Optimize Agent Actions with User Behavior. See exactly why users re-prompt, drop off, or convert. Feed the answers straight into your coding agent to build an AI product that sticks.
S e e e x a c t l y w h y u s e r s r e - p r o m p t , d r o p o f f , o r c o n v e r t . F e e d t h e a n s w e r s s t r a i g h t i n t o y o u r c o d i n g a g e n t t o b u i l d a n A I p r o d u c t t h a t s t i c k s . Traditional observability tells you if the LLM is fast. Product analytics tells you if the user clicked. When an AI feature fails, you are left opening six tabs trying to match raw JSON traces to clickstream events. You can't fix what you can't see together. Analyze prompts, tool calls, and model output with full context, without needing expensive LLM evals. Pinpoint exactly where and how hallucinations impact the customer engagement and retention. Feed Claude…from kubit.ai
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