Local AI Discovery should anchor pricing and promotions to hub facts via locale mappings and locale_fact_id, attaching locale-specific proofs to maintain local relevance without duplicating central content. Use drift detection to flag local mappings that diverge from hub facts, and route updates through Change Control to version locale changes and publish them to locale surfaces. A provenance panel should attribute locale contributions to proofs without exposing private workflows, while the hub remains the single source of truth and local surfaces surface only appropriate local nuances. This approach preserves hub integrity while enabling responsible local adaptation.
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How should Local AI Discovery manage local pricing and promotions without creating conflicts with hub content?
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