SWIRL 5.1 Sneak Preview: The Improvement Pipeline - Feedback In, Precision Out

Every AI system makes mistakes. What matters is what happens next. In SWIRL 5.1, curator feedback is not just cleanup, it is training data. When a reviewer rejects a wrongly merged document cluster, the nightly improvement pipeline analyzes the cluster telemetry behind those rejections and proposes a precise, bounded tuning change, with the evidence attached. Nothing changes until you approve it. One click applies it live, no restart. One click reverts it. In this demo, real product end to end: Clustering merges two different policies into one cluster; the integrity score flags the strain. The curator rejects it: reason, wrong document. That click becomes evidence. The pipeline finds the pattern (rejected clusters' weakest links at 0.931, approved clusters at 0.972) and proposes raising the similarity threshold one bounded step, 0.93 to 0.935. Applied live in one click, running on the very next search, with a Revert button right beside it. Propose first. Always reversible. Self-improving search you can trust. Try SWIRL: https://swirlaiconnect.com Docs: https://docs.swirlaiconnect.com SWIRL 5.1 Sneak Preview: https://swirlaiconnect.com/5-1-preview