Llog is a collaborative analytics and insights tool designed for LLMs. It logs end-user interactions with a single request and facilitates surfacing, sharing, and deriving insights from those logs with all business stakeholders. It's an end-to-end platform for teams to gain insights into their LLM applications post-production, offering a collaborative workspace for reviewing logs, flagging important items, and assigning tasks within the context of model outputs. Llog provides unlimited seats at any price tier and full visibility into end-user interactions, allowing users to understand what their LLM is actually saying. Insights are available within seconds using a simple API format.
Llog: Collaborative analytics and insights tool for LLM interactions and monitoring.
- Monitor end-user interactions with LLMs
- Gain insights into LLM application performance
- Collaborate with teams on LLM analysis
- Identify and address issues in LLM outputs
- Integrate Llog with a single API request to log end-user interactions. Then
- use the platform to review logs
- flag items
- assign tasks
- and derive insights.
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