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AI Feature Feedback Synthesis

Paste a representative sample of support tickets, NPS verbatims, in-product feedback, and Slack DMs. Get themes with frequency, the model-vs-product split that drives correct ownership, and a prioritized action list for the next sprint.

Most common failure mode (conflating model and product issues) handled explicitlySafety / fairness / regulatory flags surfaced separatelyDistinguishes loud-but-isolated from genuinely common themes

Results in ~30 seconds · Saves ~1 day per sprint

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