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Analytics

The Analytics section gives administrators visibility into platform usage — conversations, agent performance, and usage patterns.

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Interactions log

The interactions log records all conversations:

• User — Who initiated the conversation
• Agent — Which agent was used
• Timestamp — When the conversation happened
• Message count — Number of messages
• Feedback — User ratings (thumbs up/down)

Click any interaction to open its record: the request and the response, the person and the agent version behind it, and a step-by-step timeline of what the agent did — model calls, tools, delegated sub-agents, and human decisions — with each step’s input and output. The record is sealed when the turn ends and checked for changes every time it is opened.

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Filtering interactions

Use filters to narrow the log:

• Date range — View interactions from a specific time period
• Agent — Filter by specific agent
• User — Filter by specific user
• Feedback — Show only positively or negatively rated interactions

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Usage charts

Visual dashboards showing platform usage trends:

• Conversations over time — Daily/weekly/monthly conversation volume
• Messages per conversation — Average conversation length
• Agent usage distribution — Which agents are used most
• Active users — Unique users per time period
• Token usage — AI model token consumption over time

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Using analytics to improve

• Identify popular agents and those that need attention
• Find low-rated interactions to diagnose configuration issues
• Track adoption as you roll out new agents or knowledge bases
• Monitor costs through token usage trends
• Justify investment with usage data showing platform value