I will turn your raw customer feedback into a clear, themed summary so your team can see what people are actually saying without reading every entry.
Feedback piles up faster than anyone can read, and the real patterns get buried by review time. This agent clusters new feedback into ranked themes and publishes a sentiment read with standout outliers each cycle.

Ranked list of top feedback themes with mention counts, delivered every review cycle or when you mention the agent.
Sentiment read with explanation, delivered alongside each feedback summary.
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Notable outlier feedback worth a second look, delivered with every summary record.
The agent finds the most recent summary and uses its creation date as the start of the new review window, so nothing gets double counted.
It pulls in all feedback created since then, including the text, ratings, and any replies.
It groups similar feedback together by topic or sentiment even when people phrase things differently, then counts mentions per theme.
Alongside the ranked themes, it calls out the overall sentiment trend and any one-off feedback worth a second look.
It creates a new item with the full theme breakdown, sentiment read, and outliers posted as an update, ready for the team to scan.