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AI-based tag discovery - real classification judgment rather than spaCy vector similarity against a fixed category list.

AI-based ambiguity detection - genuine qualitative judgment rather than similarity to a fixed anchor-sentence list.

AI-based semantic grouping - clusters items by genuine meaning rather than embedding-distance thresholds.

AI-based logical conflict detection - genuine reasoning about whether two items contradict each other, not just textual similarity.

AI-based duplicate/overlap detection - single batch call rather than pairwise comparison.

Same extraction as the standard Requirements Analyser, using the advanced AI (DeepSeek) backend instead of local NLP models.