Update documentation: PR #226 Writing Persona System fully implemented, next steps for React integration layer
This commit is contained in:
ajaysi
@@ -6,266 +6,279 @@ This document outlines ALwrity's approach to achieving true content hyper-person
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## 🚀 **Core Innovation: Platform-Specific Persona-Driven Context Integration**
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## 🚀 **Core Innovation: Platform-Specific Persona-Driven Context Integration**
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### **1. Writing Persona System Foundation (PR #226)**
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### **1. Writing Persona System Foundation (PR #226) ✅ IMPLEMENTED**
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- **Gemini-powered persona analysis** from onboarding data
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- **Gemini-powered persona analysis** from onboarding data ✅
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- **Platform-specific persona adaptations** for different social platforms (LinkedIn, Facebook, Instagram, Twitter)
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- **Platform-specific persona adaptations** for different social platforms (LinkedIn, Facebook, Instagram, Twitter, Blog, Medium, Substack) ✅
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- **"Hardened" prompts** for consistent AI output
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- **"Hardened" prompts** for consistent AI output ✅
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- **Objective, measurable instructions** instead of subjective descriptions
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- **Objective, measurable instructions** instead of subjective descriptions ✅
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- **Platform-specific writing styles, content strategies, and engagement patterns**
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- **Platform-specific writing styles, content strategies, and engagement patterns** ✅
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- **Complete database schema** with 4 tables ✅
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- **Full API endpoints** for persona management ✅
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- **Frontend API client** with TypeScript interfaces ✅
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### **2. CopilotKit Context Integration**
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### **2. CopilotKit Context Integration** 🔨 **NEXT STEP**
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- **useCopilotReadable** hook for platform-specific persona context injection
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- **useCopilotReadable** hook for platform-specific persona context injection
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- **Platform-aware context structure** that understands different social network requirements
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- **Platform-aware context structure** that understands different social network requirements
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- **Real-time persona context updates** as user preferences evolve
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- **Real-time persona context updates** as user preferences evolve
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- **Platform-specific CopilotKit actions** tailored to each social network's unique needs
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- **Platform-specific CopilotKit actions** tailored to each social network's unique needs
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## 🏗️ **Architecture Overview**
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## 🏗️ **Architecture Overview - IMPLEMENTED STATUS**
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### **Directory Structure**
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### **Backend System ✅ COMPLETE**
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```
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backend/
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├── models/
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│ └── persona_models.py // ✅ Complete database schema
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├── services/
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│ ├── persona_analysis_service.py // ✅ Gemini-powered analysis
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│ └── persona_replication_engine.py // ✅ Content generation engine
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├── api/
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│ ├── persona.py // ✅ Full API endpoints
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│ └── persona_routes.py // ✅ Route definitions
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├── scripts/
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│ └── create_persona_tables.py // ✅ Database setup
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└── deploy_persona_system.py // ✅ Deployment script
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```
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### **Frontend API Client ✅ COMPLETE**
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```
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frontend/src/api/
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└── persona.ts // ✅ Complete API client
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├── TypeScript interfaces // ✅ All data models
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├── API functions // ✅ All endpoints
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├── Error handling // ✅ Comprehensive
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└── Platform support // ✅ 7 platforms
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```
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### **What We Need to Build 🔨**
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```
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```
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frontend/src/
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frontend/src/
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├── components/
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├── components/
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│ ├── shared/
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│ └── shared/
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│ │ ├── PersonaContext/
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│ └── PersonaContext/
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│ │ │ ├── PlatformPersonaProvider.tsx // ✅ Platform-specific persona provider
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│ ├── PlatformPersonaProvider.tsx // 🔨 Build this
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│ │ │ ├── usePlatformPersonaContext.ts // ✅ Platform persona context hook
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│ ├── usePlatformPersonaContext.ts // 🔨 Build this
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│ │ │ └── PlatformPersonaTypes.ts // ✅ Platform persona type definitions
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│ └── PlatformPersonaTypes.ts // 🔨 Build this
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│ │ ├── CopilotKit/
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│ │ │ ├── PlatformPersonaChat.tsx // ✅ Platform-aware chat component
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│ │ │ ├── PlatformActions/ // ✅ Platform-specific actions
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│ │ │ │ ├── LinkedInActions.ts
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│ │ │ │ ├── FacebookActions.ts
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│ │ │ │ ├── InstagramActions.ts
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│ │ │ │ └── TwitterActions.ts
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│ │ │ └── PlatformPersonaInjector.tsx // ✅ Platform persona context injector
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│ │ └── Editor/
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│ │ ├── CommonEditor/
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│ │ │ ├── DiffPreview.tsx
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│ │ │ ├── QualityMetrics.tsx
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│ │ │ └── CitationSystem.tsx
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│ │ └── PlatformEditors/
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│ │ ├── LinkedInEditor/
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│ │ ├── FacebookEditor/
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│ │ └── InstagramEditor/
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├── hooks/
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├── hooks/
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│ ├── usePlatformPersonaCopilot.ts // ✅ Platform persona CopilotKit hook
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│ └── usePlatformPersonaCopilot.ts // 🔨 Build this
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│ ├── usePlatformSpecificContext.ts // ✅ Platform-specific context hook
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└── services/
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│ └── useContentPersonalization.ts
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└── copilotkit/
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├── services/
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└── PlatformActions/ // 🔨 Build this
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│ ├── persona/
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│ │ ├── PlatformPersonaAnalyzer.ts // ✅ Platform persona analysis
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│ │ ├── PlatformPersonaContextBuilder.ts // ✅ Platform-specific context builder
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│ │ └── PlatformPersonaAdapter.ts // ✅ Platform persona adaptation
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│ └── copilotkit/
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│ ├── PlatformActions/ // ✅ Platform-specific actions
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│ │ ├── LinkedInActions.ts
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│ │ ├── FacebookActions.ts
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│ │ ├── InstagramActions.ts
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│ │ └── TwitterActions.ts
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│ ├── PlatformContextInjector.ts // ✅ Platform context injection
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│ └── PlatformConversationEnhancer.ts // ✅ Platform conversation enhancement
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└── types/
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├── PlatformPersonaTypes.ts // ✅ Platform persona interfaces
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├── PlatformTypes.ts // ✅ Platform-specific types
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└── CopilotKitTypes.ts
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```
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```
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## 🎨 **Implementation Strategy**
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## 🎨 **Implementation Strategy - UPDATED**
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### **Phase 1: Platform-Specific Persona Foundation (Weeks 1-2)**
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### **Phase 1: React Context Layer (Week 1) 🔨 BUILD THIS**
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#### **1.1 Platform Persona Types (Leveraging PR #226)**
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#### **1.1 Create Platform Persona Types (Days 1-2)**
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```typescript
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```typescript
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// PlatformPersonaTypes.ts
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// Create: frontend/src/types/PlatformPersonaTypes.ts
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export interface PlatformPersona {
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// Map the existing backend models to TypeScript
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platform: "linkedin" | "facebook" | "instagram" | "twitter";
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export interface WritingPersona {
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writingStyle: PlatformWritingStyle;
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id: number;
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contentStrategy: PlatformContentStrategy;
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persona_name: string;
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engagementPatterns: PlatformEngagementPatterns;
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archetype: string;
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qualityMetrics: PlatformQualityMetrics;
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core_belief: string;
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linguistic_fingerprint: LinguisticFingerprint;
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platform_adaptations: PlatformAdaptation[];
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confidence_score: number;
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created_at: string;
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}
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}
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// LinkedIn-specific persona (from PR #226)
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export interface LinguisticFingerprint {
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export interface LinkedInPersona extends PlatformPersona {
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sentence_metrics: {
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platform: "linkedin";
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average_sentence_length_words: number;
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writingStyle: {
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preferred_sentence_type: string;
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tone: "professional" | "thought-leadership" | "industry-expert";
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active_to_passive_ratio: string;
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formality: "formal" | "semi-formal";
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complexity: "moderate" | "advanced";
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brandVoice: string[];
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};
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};
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contentStrategy: {
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lexical_features: {
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focus: "thought-leadership" | "industry-insights" | "professional-updates";
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go_to_words: string[];
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hashtagStrategy: "industry-focused" | "trending-relevant";
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go_to_phrases: string[];
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callToAction: "professional-engagement" | "network-building";
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avoid_words: string[];
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contentLength: "medium" | "long-form";
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vocabulary_level: string;
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};
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};
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engagementPatterns: {
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rhetorical_devices: {
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style: "professional-networking" | "industry-discussion" | "expert-sharing";
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metaphors: string;
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frequency: "2-3 times per week" | "daily" | "weekly";
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analogies: string;
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interactionType: "comment-discussion" | "share-engagement" | "connection-building";
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rhetorical_questions: string;
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};
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};
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}
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}
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// Facebook-specific persona
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export interface PlatformAdaptation {
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export interface FacebookPersona extends PlatformPersona {
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platform_type: "twitter" | "linkedin" | "instagram" | "facebook" | "blog" | "medium" | "substack";
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platform: "facebook";
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sentence_metrics: PlatformSentenceMetrics;
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writingStyle: {
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lexical_features: PlatformLexicalFeatures;
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tone: "conversational" | "community-focused" | "storytelling";
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content_format_rules: ContentFormatRules;
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formality: "casual" | "semi-formal";
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engagement_patterns: EngagementPatterns;
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complexity: "simple" | "moderate";
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brandVoice: string[];
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};
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contentStrategy: {
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focus: "community-building" | "storytelling" | "behind-the-scenes";
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hashtagStrategy: "trending-popular" | "community-relevant";
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callToAction: "community-interaction" | "story-sharing";
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contentLength: "short" | "medium";
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};
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engagementPatterns: {
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style: "conversational-community" | "story-sharing" | "group-engagement";
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frequency: "daily" | "multiple-times-daily";
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interactionType: "comment-conversation" | "share-viral" | "group-discussion";
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};
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}
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}
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```
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```
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#### **1.2 Platform Persona Provider**
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#### **1.2 Create Platform Persona Provider (Days 3-4)**
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```typescript
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```typescript
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// PlatformPersonaProvider.tsx
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// Create: frontend/src/components/shared/PersonaContext/PlatformPersonaProvider.tsx
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import { getPlatformPersona, getUserPersonas } from '../../../api/persona';
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export const PlatformPersonaProvider: React.FC<{
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export const PlatformPersonaProvider: React.FC<{
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platform: SocialPlatform;
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platform: SocialPlatform;
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children: React.ReactNode
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children: React.ReactNode
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}> = ({ platform, children }) => {
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}> = ({ platform, children }) => {
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const { getPlatformPersona } = usePersonaContext();
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const [platformPersona, setPlatformPersona] = useState<PlatformAdaptation | null>(null);
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const platformPersona = getPlatformPersona(platform);
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const [corePersona, setCorePersona] = useState<WritingPersona | null>(null);
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const [loading, setLoading] = useState(true);
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// Inject platform-specific persona into CopilotKit context
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useEffect(() => {
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const fetchPersonas = async () => {
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try {
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setLoading(true);
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const userId = 1; // Get from auth context
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// Use the existing API client
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const [userPersonas, platformData] = await Promise.all([
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getUserPersonas(userId),
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getPlatformPersona(userId, platform)
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]);
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setCorePersona(userPersonas.personas[0]);
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setPlatformPersona(platformData);
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} catch (error) {
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console.error('Error fetching personas:', error);
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} finally {
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setLoading(false);
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}
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};
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fetchPersonas();
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}, [platform]);
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// Inject both personas into CopilotKit context
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useCopilotReadable({
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useCopilotReadable({
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description: `${platform} platform writing persona and strategy`,
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description: `Core writing persona: ${corePersona?.persona_name || 'Loading...'}`,
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value: corePersona,
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categories: ["core-persona", "writing-style"]
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});
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useCopilotReadable({
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description: `${platform} platform optimization rules`,
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value: platformPersona,
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value: platformPersona,
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categories: ["platform-persona", platform],
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categories: ["platform-persona", platform],
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convert: (description, value) => formatPlatformPersonaForCopilot(value, platform)
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parentId: corePersona?.id
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});
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});
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if (loading) {
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return <div>Loading persona data...</div>;
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}
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return (
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return (
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<PlatformPersonaContext.Provider value={{ platformPersona, platform }}>
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<PlatformPersonaContext.Provider value={{
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corePersona,
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platformPersona,
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platform,
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loading
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}}>
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{children}
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{children}
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</PlatformPersonaContext.Provider>
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</PlatformPersonaContext.Provider>
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);
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);
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};
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};
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```
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```
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### **Phase 2: Platform-Specific CopilotKit Actions (Weeks 3-4)**
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#### **1.3 Create Platform Persona Context Hook (Days 5-7)**
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#### **2.1 LinkedIn-Specific Actions**
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```typescript
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```typescript
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// services/copilotkit/PlatformActions/LinkedInActions.ts
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// Create: frontend/src/hooks/usePlatformPersonaContext.ts
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export const getLinkedInActions = (persona: LinkedInPersona) => ({
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import { useContext } from 'react';
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generateThoughtLeadershipPost: {
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import { PlatformPersonaContext } from '../components/shared/PersonaContext/PlatformPersonaContext';
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name: "generateThoughtLeadershipPost",
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description: "Generate LinkedIn thought leadership post based on user's professional persona",
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export const usePlatformPersonaContext = () => {
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parameters: [
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const context = useContext(PlatformPersonaContext);
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{
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if (!context) {
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name: "industryTopic",
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throw new Error('usePlatformPersonaContext must be used within PlatformPersonaProvider');
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type: "string",
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}
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description: "Industry topic or trend to discuss"
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return context;
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},
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};
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{
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```
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name: "tone",
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type: "string",
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### **Phase 2: CopilotKit Integration (Week 2)**
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description: "Writing tone (defaults to user's LinkedIn persona tone)",
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default: persona.writingStyle.tone
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#### **2.1 Create Persona-Aware Chat Component (Days 1-4)**
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},
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```typescript
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{
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// Create: frontend/src/components/shared/CopilotKit/PlatformPersonaChat.tsx
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name: "includeIndustryInsights",
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export const PlatformPersonaChat: React.FC<{
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type: "boolean",
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platform: SocialPlatform;
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description: "Include industry research and insights",
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corePersona: WritingPersona;
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default: persona.contentStrategy.focus === "industry-insights"
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platformPersona: PlatformAdaptation;
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},
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}> = ({ platform, corePersona, platformPersona }) => {
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{
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name: "hashtagStrategy",
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type: "string",
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description: "Hashtag strategy (defaults to user's LinkedIn persona)",
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default: persona.contentStrategy.hashtagStrategy
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}
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],
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handler: async (args) => {
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// Implementation using LinkedIn persona preferences
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return generateLinkedInContent(args, persona);
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}
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},
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suggestIndustryHashtags: {
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const makeSystemMessage = useCallback((contextString: string) => {
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name: "suggestIndustryHashtags",
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return `
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description: "Suggest relevant industry hashtags based on LinkedIn persona",
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You are an expert ${platform} content strategist and writer.
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CORE PERSONA CONTEXT:
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${contextString}
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PERSONA: ${corePersona.persona_name}
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ARCHETYPE: ${corePersona.archetype}
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CORE BELIEF: ${corePersona.core_belief}
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CONFIDENCE SCORE: ${corePersona.confidence_score}%
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PLATFORM OPTIMIZATION (${platform}):
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- Platform: ${platformPersona.platform_type}
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- Character Limit: ${platformPersona.content_format_rules?.character_limit || 'Unknown'}
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- Optimal Length: ${platformPersona.content_format_rules?.optimal_length || 'Unknown'}
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- Engagement Pattern: ${platformPersona.engagement_patterns?.posting_frequency || 'Unknown'}
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LINGUISTIC CONSTRAINTS:
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- Sentence Length: ${corePersona.linguistic_fingerprint?.sentence_metrics?.average_sentence_length_words || 'Unknown'} words average
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- Voice Ratio: ${corePersona.linguistic_fingerprint?.sentence_metrics?.active_to_passive_ratio || 'Unknown'}
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- Go-to Words: ${corePersona.linguistic_fingerprint?.lexical_features?.go_to_words?.join(", ") || 'Unknown'}
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- Avoid Words: ${corePersona.linguistic_fingerprint?.lexical_features?.avoid_words?.join(", ") || 'Unknown'}
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Always generate content that matches this persona's linguistic fingerprint and platform optimization rules.
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`;
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}, [corePersona, platformPersona, platform]);
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return (
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<CopilotChat
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makeSystemMessage={makeSystemMessage}
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actions={getPlatformSpecificActions(platform, platformPersona)}
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/>
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);
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};
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```
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#### **2.2 Create Platform-Specific Actions (Days 5-7)**
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```typescript
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// Create: frontend/src/services/copilotkit/PlatformActions/LinkedInActions.ts
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import { generateContentWithPersona } from '../../../api/persona';
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||||||
|
|
||||||
|
export const getLinkedInActions = (platformPersona: PlatformAdaptation) => ({
|
||||||
|
generateLinkedInPost: {
|
||||||
|
name: "generateLinkedInPost",
|
||||||
|
description: "Generate LinkedIn post using persona replication engine",
|
||||||
parameters: [
|
parameters: [
|
||||||
{
|
{
|
||||||
name: "topic",
|
name: "topic",
|
||||||
type: "string",
|
type: "string",
|
||||||
description: "Content topic for hashtag suggestions"
|
description: "Main topic or theme for the post"
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
handler: async (args) => {
|
handler: async (args: any) => {
|
||||||
return suggestLinkedInHashtags(args.topic, persona);
|
const userId = 1; // Get from auth context
|
||||||
|
const result = await generateContentWithPersona(
|
||||||
|
userId,
|
||||||
|
"linkedin",
|
||||||
|
args.topic,
|
||||||
|
"post"
|
||||||
|
);
|
||||||
|
return result;
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
});
|
});
|
||||||
```
|
```
|
||||||
|
|
||||||
#### **2.2 Facebook-Specific Actions**
|
### **Phase 3: Platform Editor Integration (Week 3)**
|
||||||
```typescript
|
|
||||||
// services/copilotkit/PlatformActions/FacebookActions.ts
|
|
||||||
export const getFacebookActions = (persona: FacebookPersona) => ({
|
|
||||||
generateCommunityPost: {
|
|
||||||
name: "generateCommunityPost",
|
|
||||||
description: "Generate Facebook community engagement post based on user's social persona",
|
|
||||||
parameters: [
|
|
||||||
{
|
|
||||||
name: "communityTopic",
|
|
||||||
type: "string",
|
|
||||||
description: "Community topic or discussion point"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
name: "engagementStyle",
|
|
||||||
type: "string",
|
|
||||||
description: "Engagement style (defaults to user's Facebook persona)",
|
|
||||||
default: persona.engagementPatterns.style
|
|
||||||
},
|
|
||||||
{
|
|
||||||
name: "contentType",
|
|
||||||
type: "string",
|
|
||||||
description: "Content type (defaults to user's Facebook persona)",
|
|
||||||
default: persona.contentStrategy.focus
|
|
||||||
}
|
|
||||||
],
|
|
||||||
handler: async (args) => {
|
|
||||||
return generateFacebookContent(args, persona);
|
|
||||||
}
|
|
||||||
},
|
|
||||||
|
|
||||||
suggestTrendingTopics: {
|
|
||||||
name: "suggestTrendingTopics",
|
|
||||||
description: "Suggest trending topics for Facebook engagement",
|
|
||||||
parameters: [
|
|
||||||
{
|
|
||||||
name: "category",
|
|
||||||
type: "string",
|
|
||||||
description: "Topic category (optional)"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
handler: async (args) => {
|
|
||||||
return suggestFacebookTrendingTopics(args.category, persona);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
});
|
|
||||||
```
|
|
||||||
|
|
||||||
### **Phase 3: Platform Editor Integration (Weeks 5-6)**
|
#### **3.1 Integrate with LinkedIn Editor (Days 1-4)**
|
||||||
|
|
||||||
#### **3.1 LinkedIn Editor with Platform Persona**
|
|
||||||
```typescript
|
```typescript
|
||||||
// components/LinkedInWriter/LinkedInWriter.tsx
|
// Update: frontend/src/components/LinkedInWriter/LinkedInWriter.tsx
|
||||||
export const LinkedInWriter: React.FC = () => {
|
export const LinkedInWriter: React.FC = () => {
|
||||||
return (
|
return (
|
||||||
<PlatformPersonaProvider platform="linkedin">
|
<PlatformPersonaProvider platform="linkedin">
|
||||||
@@ -275,217 +288,138 @@ export const LinkedInWriter: React.FC = () => {
|
|||||||
};
|
};
|
||||||
|
|
||||||
const LinkedInWriterContent: React.FC = () => {
|
const LinkedInWriterContent: React.FC = () => {
|
||||||
const { platformPersona } = usePlatformPersonaContext();
|
const { corePersona, platformPersona } = usePlatformPersonaContext();
|
||||||
|
|
||||||
return (
|
return (
|
||||||
<div>
|
<div>
|
||||||
{/* Existing LinkedIn editor */}
|
{/* Existing LinkedIn editor */}
|
||||||
<LinkedInEditor />
|
<LinkedInEditor />
|
||||||
|
|
||||||
{/* Platform-specific persona-aware chat */}
|
{/* Persona-aware chat */}
|
||||||
<PlatformPersonaChat
|
<PlatformPersonaChat
|
||||||
platform="linkedin"
|
platform="linkedin"
|
||||||
persona={platformPersona}
|
corePersona={corePersona}
|
||||||
actions={getLinkedInActions(platformPersona)}
|
platformPersona={platformPersona}
|
||||||
/>
|
/>
|
||||||
|
|
||||||
{/* Platform-specific quality metrics */}
|
{/* Display persona information */}
|
||||||
<PlatformQualityMetrics
|
<PersonaInfoDisplay
|
||||||
platform="linkedin"
|
persona={corePersona}
|
||||||
persona={platformPersona}
|
platformOptimization={platformPersona}
|
||||||
/>
|
/>
|
||||||
</div>
|
</div>
|
||||||
);
|
);
|
||||||
};
|
};
|
||||||
```
|
```
|
||||||
|
|
||||||
#### **3.2 Facebook Editor with Platform Persona**
|
## 🔍 **What PR #226 Already Implements**
|
||||||
```typescript
|
|
||||||
// components/FacebookWriter/FacebookWriter.tsx
|
|
||||||
export const FacebookWriter: React.FC = () => {
|
|
||||||
return (
|
|
||||||
<PlatformPersonaProvider platform="facebook">
|
|
||||||
<FacebookWriterContent />
|
|
||||||
</PlatformPersonaProvider>
|
|
||||||
);
|
|
||||||
};
|
|
||||||
|
|
||||||
const FacebookWriterContent: React.FC = () => {
|
### **1. Complete Backend System ✅**
|
||||||
const { platformPersona } = usePlatformPersonaContext();
|
- **Database Schema**: 4 tables with full relationships
|
||||||
|
- **Gemini Integration**: AI-powered persona analysis
|
||||||
return (
|
- **Platform Support**: 7 platforms with specific constraints
|
||||||
<div>
|
- **API Endpoints**: Full CRUD operations for personas
|
||||||
{/* Existing Facebook editor */}
|
- **Content Generation**: Persona replication engine
|
||||||
<FacebookEditor />
|
- **Export System**: Hardened prompts for external tools
|
||||||
|
|
||||||
{/* Platform-specific persona-aware chat */}
|
|
||||||
<PlatformPersonaChat
|
|
||||||
platform="facebook"
|
|
||||||
persona={platformPersona}
|
|
||||||
actions={getFacebookActions(platformPersona)}
|
|
||||||
/>
|
|
||||||
|
|
||||||
{/* Platform-specific quality metrics */}
|
|
||||||
<PlatformQualityMetrics
|
|
||||||
platform="facebook"
|
|
||||||
persona={platformPersona}
|
|
||||||
/>
|
|
||||||
</div>
|
|
||||||
);
|
|
||||||
};
|
|
||||||
```
|
|
||||||
|
|
||||||
## 🔍 **Platform-Specific Implementation Examples**
|
### **2. Complete Frontend API Client ✅**
|
||||||
|
- **TypeScript Interfaces**: All data models defined
|
||||||
|
- **API Functions**: All endpoints implemented
|
||||||
|
- **Error Handling**: Comprehensive error management
|
||||||
|
- **Platform Support**: All 7 platforms supported
|
||||||
|
|
||||||
### **LinkedIn Platform**
|
### **3. Integration Points ✅**
|
||||||
```typescript
|
- **Onboarding Integration**: Automatic persona generation
|
||||||
// LinkedIn-specific persona context (from PR #226)
|
- **Database Integration**: Full persistence layer
|
||||||
const linkedInPersona: LinkedInPersona = {
|
- **API Integration**: RESTful endpoints ready
|
||||||
platform: "linkedin",
|
|
||||||
writingStyle: {
|
|
||||||
tone: "thought-leadership",
|
|
||||||
formality: "semi-formal",
|
|
||||||
complexity: "advanced",
|
|
||||||
brandVoice: ["professional", "innovative", "industry-expert"]
|
|
||||||
},
|
|
||||||
contentStrategy: {
|
|
||||||
focus: "thought-leadership",
|
|
||||||
hashtagStrategy: "industry-focused",
|
|
||||||
callToAction: "professional-engagement",
|
|
||||||
contentLength: "medium"
|
|
||||||
},
|
|
||||||
engagementPatterns: {
|
|
||||||
style: "professional-networking",
|
|
||||||
frequency: "2-3 times per week",
|
|
||||||
interactionType: "comment-discussion"
|
|
||||||
}
|
|
||||||
};
|
|
||||||
|
|
||||||
// LinkedIn-specific CopilotKit actions
|
## 🎯 **What We Need to Build (React Integration Layer)**
|
||||||
const linkedInActions = {
|
|
||||||
generateThoughtLeadershipPost: "Create industry insights post",
|
|
||||||
suggestIndustryHashtags: "Recommend relevant hashtags",
|
|
||||||
optimizeForEngagement: "Improve post engagement potential",
|
|
||||||
createFollowUpSequence: "Plan follow-up content strategy"
|
|
||||||
};
|
|
||||||
```
|
|
||||||
|
|
||||||
### **Facebook Platform**
|
### **1. React Context System 🔨**
|
||||||
```typescript
|
- **PlatformPersonaProvider**: Context provider for persona data
|
||||||
// Facebook-specific persona context
|
- **usePlatformPersonaContext**: Hook for accessing persona data
|
||||||
const facebookPersona: FacebookPersona = {
|
- **State Management**: Loading states and error handling
|
||||||
platform: "facebook",
|
|
||||||
writingStyle: {
|
|
||||||
tone: "conversational",
|
|
||||||
formality: "casual",
|
|
||||||
complexity: "simple",
|
|
||||||
brandVoice: ["friendly", "community-focused", "authentic"]
|
|
||||||
},
|
|
||||||
contentStrategy: {
|
|
||||||
focus: "community-building",
|
|
||||||
hashtagStrategy: "trending-popular",
|
|
||||||
callToAction: "community-interaction",
|
|
||||||
contentLength: "short"
|
|
||||||
},
|
|
||||||
engagementPatterns: {
|
|
||||||
style: "conversational-community",
|
|
||||||
frequency: "daily",
|
|
||||||
interactionType: "comment-conversation"
|
|
||||||
}
|
|
||||||
};
|
|
||||||
|
|
||||||
// Facebook-specific CopilotKit actions
|
### **2. CopilotKit Integration 🔨**
|
||||||
const facebookActions = {
|
- **Context Injection**: Inject persona data into CopilotKit
|
||||||
generateCommunityPost: "Create community engagement post",
|
- **System Messages**: Dynamic system messages with persona context
|
||||||
suggestTrendingTopics: "Find trending topics to discuss",
|
- **Platform Actions**: Platform-specific CopilotKit actions
|
||||||
createStorySequence: "Plan multi-part story content",
|
|
||||||
optimizeForShares: "Improve viral potential"
|
|
||||||
};
|
|
||||||
```
|
|
||||||
|
|
||||||
## 🎯 **Benefits of This Platform-Specific Approach**
|
### **3. Editor Integration 🔨**
|
||||||
|
- **LinkedIn Editor**: Integrate persona context
|
||||||
|
- **Facebook Editor**: Integrate persona context
|
||||||
|
- **Other Editors**: Extend to remaining platforms
|
||||||
|
|
||||||
### **1. True Platform Understanding**
|
## 🚀 **Updated Implementation Roadmap**
|
||||||
- **LinkedIn**: Professional networking, thought leadership, industry expertise
|
|
||||||
- **Facebook**: Community building, storytelling, social engagement
|
|
||||||
- **Instagram**: Visual storytelling, aesthetic appeal, influencer content
|
|
||||||
- **Twitter**: Concise messaging, trending topics, viral potential
|
|
||||||
|
|
||||||
### **2. Hyper-Personalized Content Generation**
|
### **Week 1: React Context Layer** 🔨
|
||||||
- **Writing style matching** user's platform-specific persona
|
- [ ] **Create TypeScript interfaces** mapping backend models
|
||||||
- **Content strategy alignment** with platform best practices
|
- [ ] **Create PlatformPersonaProvider** component
|
||||||
- **Engagement pattern optimization** for each social network
|
- [ ] **Create usePlatformPersonaContext** hook
|
||||||
- **Quality metrics** specific to platform success factors
|
- [ ] **Test persona data fetching** with existing API client
|
||||||
|
|
||||||
### **3. Intelligent Platform-Specific Assistance**
|
### **Week 2: CopilotKit Integration** 🔨
|
||||||
- **LinkedIn**: Industry insights, professional networking advice
|
- [ ] **Create PlatformPersonaChat** component
|
||||||
- **Facebook**: Community engagement, trending topic suggestions
|
- [ ] **Test persona context injection** into CopilotKit
|
||||||
- **Instagram**: Visual content ideas, hashtag strategies
|
- [ ] **Create platform-specific actions** using existing API
|
||||||
- **Twitter**: Viral content optimization, thread planning
|
- [ ] **Verify platform-specific constraints** are accessible
|
||||||
|
|
||||||
## 🚀 **Implementation Roadmap**
|
### **Week 3: Platform Editor Integration** 🔨
|
||||||
|
- [ ] **Integrate with LinkedIn editor**
|
||||||
### **Week 1-2: Platform Persona Foundation**
|
- [ ] **Integrate with Facebook editor**
|
||||||
- [ ] **Enhance PR #226 platform personas** with additional attributes
|
|
||||||
- [ ] **Create PlatformPersonaProvider** for context injection
|
|
||||||
- [ ] **Implement platform-specific** persona types and interfaces
|
|
||||||
- [ ] **Test platform persona** context injection
|
|
||||||
|
|
||||||
### **Week 3-4: Platform-Specific Actions**
|
|
||||||
- [ ] **Implement LinkedIn actions** using LinkedIn persona
|
|
||||||
- [ ] **Implement Facebook actions** using Facebook persona
|
|
||||||
- [ ] **Create platform-specific** CopilotKit action generators
|
|
||||||
- [ ] **Test platform-specific** action generation
|
|
||||||
|
|
||||||
### **Week 5-6: Platform Editor Integration**
|
|
||||||
- [ ] **Integrate platform personas** with LinkedIn editor
|
|
||||||
- [ ] **Integrate platform personas** with Facebook editor
|
|
||||||
- [ ] **Add platform-specific** CopilotKit actions to editors
|
|
||||||
- [ ] **Test end-to-end** platform-personalized content generation
|
- [ ] **Test end-to-end** platform-personalized content generation
|
||||||
|
- [ ] **Add persona display components**
|
||||||
|
|
||||||
### **Week 7-8: Testing & Refinement**
|
## 🎉 **Key Benefits of PR #226 Implementation**
|
||||||
- [ ] **Test platform-specific** persona accuracy
|
|
||||||
- [ ] **Validate platform-specific** action effectiveness
|
|
||||||
- [ ] **Optimize persona context** injection performance
|
|
||||||
- [ ] **Gather user feedback** on platform personalization
|
|
||||||
|
|
||||||
## 🔧 **Technical Considerations**
|
### **1. Production-Ready Backend**
|
||||||
|
- **Complete database schema** with relationships
|
||||||
|
- **Gemini AI integration** for persona analysis
|
||||||
|
- **Platform-specific optimizations** for 7 platforms
|
||||||
|
- **Content generation engine** with persona constraints
|
||||||
|
|
||||||
### **1. Performance Optimization**
|
### **2. Production-Ready Frontend API**
|
||||||
- **Platform-specific context injection** to avoid unnecessary data
|
- **Complete TypeScript interfaces** for all data models
|
||||||
- **Lazy loading** of platform persona data
|
- **Full API client** with all endpoints
|
||||||
- **Memoized persona context** updates
|
- **Error handling** and type safety
|
||||||
|
- **Platform support** for all 7 platforms
|
||||||
|
|
||||||
### **2. Context Management**
|
### **3. Enterprise Features**
|
||||||
- **Platform-specific context categories** for targeted CopilotKit access
|
- **Hardened persona prompts** for consistent output
|
||||||
- **Platform persona persistence** across user sessions
|
- **Export functionality** for external AI tools
|
||||||
- **Dynamic persona updates** based on user evolution
|
- **Quality validation** with confidence scores
|
||||||
|
- **Scalable architecture** for multiple users
|
||||||
|
|
||||||
### **3. Error Handling**
|
## **Immediate Action Items (This Week)**
|
||||||
- **Graceful degradation** when platform persona data is unavailable
|
|
||||||
- **Fallback to generic persona** for missing platform data
|
|
||||||
- **Validation** of platform persona data integrity
|
|
||||||
|
|
||||||
## 📊 **Success Metrics**
|
### **Day 1-2: Create TypeScript Interfaces**
|
||||||
|
1. **Map backend models** to TypeScript interfaces
|
||||||
|
2. **Create PlatformPersonaTypes.ts** file
|
||||||
|
3. **Test type compatibility** with existing API client
|
||||||
|
|
||||||
### **1. Platform-Specific Content Quality**
|
### **Day 3-4: Create Context Provider**
|
||||||
- **LinkedIn**: Professional credibility, industry relevance scores
|
1. **Create PlatformPersonaProvider** component
|
||||||
- **Facebook**: Community engagement, shareability metrics
|
2. **Integrate with existing API client**
|
||||||
- **Instagram**: Visual appeal, hashtag effectiveness
|
3. **Test persona data fetching**
|
||||||
- **Twitter**: Viral potential, trending relevance
|
|
||||||
|
|
||||||
### **2. User Engagement**
|
### **Day 5-7: Create Context Hook**
|
||||||
- **Platform-specific CopilotKit** usage frequency
|
1. **Create usePlatformPersonaContext** hook
|
||||||
- **Platform persona accuracy** and relevance
|
2. **Test context consumption**
|
||||||
- **Platform-specific feature** adoption rates
|
3. **Verify data flow** from API to components
|
||||||
|
|
||||||
### **3. Technical Performance**
|
|
||||||
- **Platform context injection** speed
|
|
||||||
- **Platform-specific action** response time
|
|
||||||
- **Memory usage** optimization per platform
|
|
||||||
|
|
||||||
## 🎯 **Conclusion**
|
## 🎯 **Conclusion**
|
||||||
|
|
||||||
This implementation strategy transforms ALwrity into a truly platform-aware, hyper-personalized content creation tool. By leveraging PR #226's existing platform-specific persona system and integrating it with CopilotKit's context-aware capabilities, we create an experience where every interaction understands not just the user's general preferences, but their specific persona for each social platform.
|
**PR #226 has delivered a complete, production-ready Writing Persona System:**
|
||||||
|
- ✅ **Backend**: Full persona system with Gemini AI
|
||||||
|
- ✅ **Frontend API**: Complete client with all endpoints
|
||||||
|
- ✅ **Database**: Complete schema with relationships
|
||||||
|
- ✅ **Platform Support**: 7 platforms with specific optimizations
|
||||||
|
|
||||||
The key innovation is that we're not creating generic personas - we're creating sophisticated, platform-specific personas that understand the unique requirements, writing styles, content strategies, and engagement patterns of each social network. This enables truly intelligent, contextual assistance that feels native to each platform while maintaining the user's unique voice and preferences.
|
**We just need to build the React integration layer:**
|
||||||
|
- 🔨 **React Context** for state management
|
||||||
|
- 🔨 **CopilotKit Integration** for context injection
|
||||||
|
- 🔨 **Editor Integration** for platform-specific personalization
|
||||||
|
|
||||||
|
This is **exactly what we need** for true content hyper-personalization! The heavy lifting is complete. We just need to build the React integration layer to connect everything together and unlock the full potential of the persona system with CopilotKit.
|
||||||
|
|
||||||
|
The system is sophisticated, well-architected, and ready for production. Once we complete the React integration layer, ALwrity will have enterprise-grade content hyper-personalization capabilities that understand each user's unique writing style and optimize content for each platform's specific requirements.
|
||||||
|
|||||||
Reference in New Issue
Block a user