Backend: - Character model: add brand_voice, target_audience, business_goals, products_services, content_rules (JSON do/dont), hashtag_profiles (JSON) - Content generation: inject full character context into LLM system prompt (voice, audience, goals, products, rules) - Hashtag generation: merge always-on tags from profile with AI-generated tags - Schema: update CharacterBase and CharacterUpdate with new fields Frontend: - CharacterForm: new sections "Identità e Voce", "Regole Contenuti", "Profili Hashtag" with dedicated editors - RulesEditor: do/don't list with add/remove - HashtagProfileEditor: per-platform tabs, fixed hashtags + max generated count - All fields loaded on edit, saved on submit DB migration: 6 new columns added to characters table Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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