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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