Introduce Kubit
Kubit is a product analytics platform that connects agent actions to user behavior.
LLM traces and clickstream events are ingested via OpenTelemetry, CDP or you can Bring Your Own Warehouse.
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.
The Problem
Observability Sees Agent Failures. Analytics Shows User Exits. Neither Explains WHY.
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.
Product Analytics for Agents and Users
Optimize agent actions with user behavior.
Enrich Traces with Intent and Sentiment: Analyze prompts, tool calls, and model output with full context.
Measure AI by User Outcomes: Pinpoint exactly where and how hallucinations impact the customer journey.
Headless for Coding Agents
Context for the Maker: Feed Claude Code the exact behavioral insights it needs to debug and fix agent and UX issues natively.
Analytics as the Verifier: Go beyond unit tests. Embed product analytics into your AI workflows via MCP and automate verification in your agent loops.
Bring Your Own Warehouse
Zero Copy: Your PII and sensitive user data never leave the warehouse. Stream spans via OTel, pull events from your CDP or query your warehouse directly.
Join Everything: Breakdown your telemetry silos. Map AI actions to user activities, A/B tests, campaigns, and business dimensions to see exactly what drives outcomes.
Next steps
Overview of Kubit
Explore features for Agent Observability, Conversation Intelligence, and Behavior Analytics
Set up the foundation: Warehouse-native