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the home dashboard in pusaka cms provides a centralized view of conversation activity and function usage across your selected ai agent this overview helps you monitor engagement, identify usage trends, and evaluate assistant performance over different time periods overview the dashboard is divided into two main sections conversation statistics function tool usage additionally, you can toggle the time range using predefined filters 24 hours 72 hours 30 days 12 months 1\ conversation statistics this section displays charts summarizing user interaction with the agent conversation count (green bar chart) number of unique conversations per day message count (blue bar chart) total messages exchanged per day π this helps you understand overall traffic trends and user engagement levels over the selected period key metrics total conversations count of unique conversations initiated total messages total message volume across all conversations 2\ function tool usage this section shows daily usage trends for each function or api action the agent triggered individual tool panels each function includes a bar chart showing daily call counts a total usage count beneath the chart examples from the screenshot get reference total 2 calls get doctors by specialization total 30 calls get patient info total 23 calls get outpatient schedule total 5 calls get doctor schedule total 1 call register outpatient total 770 calls register newpatient total 1 call π‘ use this section to monitor which services or apis are most frequently used and detect any spikes or anomalies tips track popular features spot which tools are gaining the most traction (e g , register outpatient is the most used in this case) monitor load and errors use trends to correlate with backend api performance or potential issues inform improvements prioritize development based on high usage features next steps after reviewing the dashboard go to persona to refine how the assistant engages users check actions to update high usage api integrations use knowledge > reference to enhance the assistantβs accuracy with content support