AI-Powered Blog Platforms 2025: Transforming Content Creation with Intelligent Automation#

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import { OpenAI } from 'openai';
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import { VectorDB } from '@/lib/vector-db';
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export class AIContentService {
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  private openai: OpenAI;
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  private vectorDB: VectorDB;
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  constructor(apiKey: string) {
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    this.openai = new OpenAI({ apiKey });
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    this.vectorDB = new VectorDB();
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  }
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  async generateBlogPost(prompt: ContentGenerationPrompt): Promise<GeneratedPost> {
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    // Research phase: gather relevant information
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    const researchData = await this.conductTopicResearch(prompt.topic);
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    // Content generation with context
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    const contentPrompt = this.buildContentPrompt(prompt, researchData);
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    const content = await this.openai.chat.completions.create({
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      model: "gpt-4o",
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      messages: [
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        {
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          role: "system",
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          content: `You are a technical blog writer specializing in ${prompt.domain}.
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                   Write comprehensive, accurate, and engaging content.`
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        },
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        { role: "user", content: contentPrompt }
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      ],
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      temperature: 0.7,
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      max_tokens: 4000
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    });
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    // Extract frontmatter and content
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    const parsedContent = this.parseGeneratedContent(content.choices[0].message.content);
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    // Generate SEO metadata
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    const seoData = await this.generateSEOData(parsedContent);
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    // Create multilingual versions
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    const translations = await this.generateTranslations(parsedContent, prompt.targetLanguages);
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    return {
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      originalContent: parsedContent,
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      translations,
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      seoData,
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      images: await this.generateImages(parsedContent),
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      publishingPlan: await this.createPublishingPlan(parsedContent)
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    };
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  }
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  private async conductTopicResearch(topic: string): Promise<ResearchData> {
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    // Vector similarity search for related content
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    const similarContent = await this.vectorDB.searchSimilar(topic, {
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      limit: 10,
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      threshold: 0.7
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    });
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    // Web research for latest information
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    const webResearch = await this.performWebResearch(topic);
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    // Competitor analysis
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    const competitorAnalysis = await this.analyzeCompetitorContent(topic);
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    return {
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      existingContent: similarContent,
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      currentTrends: webResearch,
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      competitorInsights: competitorAnalysis,
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      keywordData: await this.extractKeywords(topic)
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    };
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  }
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  private buildContentPrompt(prompt: ContentGenerationPrompt, research: ResearchData): string {
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    return `
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    Create a comprehensive blog post about "${prompt.topic}".
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    Context:
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    - Target audience: ${prompt.targetAudience}
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    - Content type: ${prompt.contentType}
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    - Tone: ${prompt.tone}
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    - Length: ${prompt.wordCount} words
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    Research Data:
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    - Current trends: ${research.currentTrends.summary}
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    - Key concepts to cover: ${research.keywordData.primaryKeywords.join(', ')}
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    - Competitor gaps to address: ${research.competitorInsights.gaps.join(', ')}
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    Requirements:
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    1. Include proper frontmatter with title, description, tags, and publication date
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    2. Structure with clear headings and subheadings
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    3. Include practical code examples where relevant
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    4. Add technical depth appropriate for the audience
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    5. Incorporate current industry trends and best practices
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    6. End with actionable takeaways
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    Format the response as a complete markdown blog post with frontmatter.
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    `;
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  }
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}
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// Integration with Astro content collection
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// src/content/ai-generated/generate-posts.ts
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import { AIContentService } from '@/services/ai-content-service';
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import { writeFileSync, mkdirSync } from 'fs';
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import path from 'path';
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export class AstroBlogAIIntegration {
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  private aiService: AIContentService;
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  private contentDir: string;
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  constructor() {
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    this.aiService = new AIContentService(process.env.OPENAI_API_KEY!);
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    this.contentDir = path.join(process.cwd(), 'src/content/posts');
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  }
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  async generateAndPublishPost(topics: string[]): Promise<void> {
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    for (const topic of topics) {
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      const generatedPost = await this.aiService.generateBlogPost({
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        topic,
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        targetAudience: 'technical professionals',
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        contentType: 'tutorial',
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        tone: 'professional',
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        wordCount: 2000,
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        targetLanguages: ['es', 'fr', 'de', 'ja'],
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        domain: 'software development'
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      });
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      // Save original post
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      await this.savePost(generatedPost.originalContent, 'en');
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      // Save translations
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      for (const [lang, translation] of Object.entries(generatedPost.translations)) {
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        await this.savePost(translation, lang);
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      }
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      // Generate and save images
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      await this.saveImages(generatedPost.images, topic);
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      // Update search index
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      await this.updateSearchIndex(generatedPost);
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    }
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  }
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  private async savePost(content: GeneratedContent, language: string): Promise<void> {
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    const date = new Date().toISOString().split('T')[0];
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    const slug = this.generateSlug(content.title);
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    const frontmatter = `---
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title: "${content.title}"
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description: "${content.description}"
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author: "AI Assistant"
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slug: "${slug}"
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tags:
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  - general
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  - ${content.tags.map(tag => `"${tag}"`).join('
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  - ')}
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language: "${language}"
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generated: true
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seoScore: ${content.seoScore}
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---
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${content.body}`;
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    const filename = `${date}-${slug}-${language}.md`;
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    const filepath = path.join(this.contentDir, 'ai-generated', filename);
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    mkdirSync(path.dirname(filepath), { recursive: true });
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    writeFileSync(filepath, frontmatter);
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  }
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}

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export class RealTimeTranslationService {
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  private translationCache: Map<string, CachedTranslation> = new Map();
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  private translationQueue: TranslationQueue;
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  constructor(private llmClient: LanguageModelClient) {
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    this.translationQueue = new TranslationQueue({
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      concurrency: 10,
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      batchSize: 5,
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      maxWaitTime: 1000
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    });
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  }
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  async translatePostInRealTime(
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    postId: string,
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    targetLanguages: string[]
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  ): Promise<TranslationResult> {
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    const post = await this.getPost(postId);
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    // Check cache first
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    const cachedTranslations = this.getCachedTranslations(postId, targetLanguages);
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    const uncachedLanguages = targetLanguages.filter(
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      lang => !cachedTranslations.has(lang)
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    );
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    if (uncachedLanguages.length === 0) {
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      return { translations: cachedTranslations, fromCache: true };
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    }
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    // Queue translation jobs
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    const translationJobs = uncachedLanguages.map(lang => ({
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      id: `${postId}-${lang}`,
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      content: post.content,
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      sourceLang: post.language || 'en',
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      targetLang: lang,
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      priority: this.calculatePriority(post, lang)
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    }));
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    // Process translations in batches
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    const newTranslations = await this.translationQueue.process(translationJobs);
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    // Cache results
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    for (const [lang, translation] of newTranslations) {
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      this.cacheTranslation(postId, lang, translation);
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    }
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    // Combine cached and new translations
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    const allTranslations = new Map([...cachedTranslations, ...newTranslations]);
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    return {
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      translations: allTranslations,
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      fromCache: false,
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      processingTime: Date.now() - start
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    };
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  }
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  private async processTranslationBatch(jobs: TranslationJob[]): Promise<Map<string, string>> {
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    const batchPrompt = this.createBatchTranslationPrompt(jobs);
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    const response = await this.llmClient.complete({
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      prompt: batchPrompt,
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      temperature: 0.3,
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      maxTokens: jobs.reduce((sum, job) => sum + job.content.length * 2, 0)
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    });
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    return this.parseBatchTranslationResponse(response, jobs);
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  }
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  private createBatchTranslationPrompt(jobs: TranslationJob[]): string {
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    const translations = jobs.map((job, index) =>
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      `Translation ${index + 1}: Translate from ${job.sourceLang} to ${job.targetLang}
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Content: "${job.content}"`
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    ).join('\n\n');
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    return `
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    You are a professional translator. Translate the following content maintaining
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    technical accuracy, cultural appropriateness, and natural flow.
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    ${translations}
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    Response format:
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    Translation 1: [translated content]
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    Translation 2: [translated content]
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    ...
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    `;
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  }
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}
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// Integration with Astro pages
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// src/pages/api/translate.ts
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import type { APIRoute } from 'astro';
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import { RealTimeTranslationService } from '@/services/real-time-translation';
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const translationService = new RealTimeTranslationService(llmClient);
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export const POST: APIRoute = async ({ request }) => {
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  const { postId, targetLanguages } = await request.json();
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  try {
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    const result = await translationService.translatePostInRealTime(
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      postId,
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      targetLanguages
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    );
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    return new Response(JSON.stringify(result), {
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      status: 200,
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      headers: { 'Content-Type': 'application/json' }
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    });
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  } catch (error) {
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    return new Response(JSON.stringify({ error: error.message }), {
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      status: 500,
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      headers: { 'Content-Type': 'application/json' }
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    });
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  }
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};

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export class AISEOOptimizer {
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  private seoAnalytics: SEOAnalyticsService;
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  private keywordResearcher: KeywordResearchService;
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  private competitorAnalyzer: CompetitorAnalysisService;
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  async optimizePostForSEO(post: BlogPost): Promise<OptimizedPost> {
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    // Comprehensive SEO analysis
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    const seoAnalysis = await this.analyzeSEOOpportunities(post);
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    // AI-powered optimization
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    const optimizations = await this.generateOptimizations(post, seoAnalysis);
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    // Apply optimizations
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    const optimizedPost = await this.applyOptimizations(post, optimizations);
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    // Validate improvements
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    const validationResults = await this.validateOptimizations(
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      post,
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      optimizedPost
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    );
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    return {
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      post: optimizedPost,
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      improvements: validationResults,
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      seoScore: await this.calculateSEOScore(optimizedPost),
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      recommendations: await this.generateRecommendations(validationResults)
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    };
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  }
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  private async analyzeSEOOpportunities(post: BlogPost): Promise<SEOAnalysis> {
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    const [
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      keywordAnalysis,
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      competitorGaps,
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      technicalAudit,
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      contentAnalysis
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    ] = await Promise.all([
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      this.keywordResearcher.analyzeKeywordOpportunities(post.content),
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      this.competitorAnalyzer.findContentGaps(post.topic),
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      this.auditTechnicalSEO(post),
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      this.analyzeContentQuality(post)
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    ]);
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    return {
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      primaryKeywords: keywordAnalysis.primary,
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      secondaryKeywords: keywordAnalysis.secondary,
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      longTailKeywords: keywordAnalysis.longTail,
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      competitorGaps,
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      technicalIssues: technicalAudit.issues,
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      contentScore: contentAnalysis.score,
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      improvementAreas: this.identifyImprovementAreas({
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        keywordAnalysis,
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        competitorGaps,
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        technicalAudit,
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        contentAnalysis
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      })
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    };
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  }
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  private async generateOptimizations(
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    post: BlogPost,
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    analysis: SEOAnalysis
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  ): Promise<SEOOptimizations> {
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    const optimizationPrompt = `
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    Optimize this blog post for SEO while maintaining quality and readability.
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    Current Post:
67
    Title: ${post.title}
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    Content: ${post.content}
69

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    SEO Analysis:
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    - Primary Keywords: ${analysis.primaryKeywords.join(', ')}
72
    - Secondary Keywords: ${analysis.secondaryKeywords.join(', ')}
73
    - Content Gaps: ${analysis.competitorGaps.join(', ')}
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    - Technical Issues: ${analysis.technicalIssues.join(', ')}
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    Provide optimizations for:
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    1. Title optimization (include primary keyword naturally)
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    2. Meta description (150-160 characters, compelling)
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    3. Heading structure (H1, H2, H3 with keyword integration)
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    4. Content enhancement (add missing topics, improve keyword density)
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    5. Internal linking opportunities
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    6. Featured snippet optimization
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    Maintain the original tone and technical accuracy.
85
    `;
86

87
    const response = await this.llm.complete({
88
      prompt: optimizationPrompt,
89
      temperature: 0.4
90
    });
91

92
    return this.parseOptimizationResponse(response);
93
  }
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  async generateSchemaMarkup(post: BlogPost): Promise<SchemaMarkup> {
96
    const schemaPrompt = `
97
    Generate appropriate Schema.org markup for this blog post:
98

99
    Title: ${post.title}
100
    Author: ${post.author}
101
    Published: ${post.pubDatetime}
102
    Content: ${post.content.substring(0, 1000)}...
103
    Tags: ${post.tags.join(', ')}
104

105
    Create JSON-LD schema markup including:
106
    1. Article schema with appropriate type
107
    2. Author information
108
    3. Publisher details
109
    4. Publication dates
110
    5. Article body structure
111
    6. Breadcrumb navigation
112
    7. FAQ schema if applicable
113

114
    Return valid JSON-LD format.
115
    `;
116

117
    const schema = await this.llm.complete({
118
      prompt: schemaPrompt,
119
      temperature: 0.2
120
    });
121

122
    return JSON.parse(this.extractJSONLD(schema));
123
  }
124
}
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// Integration with Astro components
127
// src/components/SEOOptimized.astro
128
---
129
import { AISEOOptimizer } from '@/services/ai-seo-optimizer';
130

131
interface Props {
132
  post: BlogPost;
133
  enableAIOptimization?: boolean;
134
}
135

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const { post, enableAIOptimization = true } = Astro.props;
137

138
let optimizedPost = post;
139
let schemaMarkup = null;
140

141
if (enableAIOptimization) {
142
  const seoOptimizer = new AISEOOptimizer();
143
  const optimization = await seoOptimizer.optimizePostForSEO(post);
144
  optimizedPost = optimization.post;
145
  schemaMarkup = await seoOptimizer.generateSchemaMarkup(optimizedPost);
146
}
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---
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<head>
150
  <title>{optimizedPost.seoTitle || optimizedPost.title}</title>
151
  <meta name="description" content={optimizedPost.seoDescription || optimizedPost.description} />
152
  <meta name="keywords" content={optimizedPost.seoKeywords.join(', ')} />
153

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  <!-- Open Graph -->
155
  <meta property="og:title" content={optimizedPost.title} />
156
  <meta property="og:description" content={optimizedPost.description} />
157
  <meta property="og:image" content={optimizedPost.image} />
158

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  <!-- Twitter Card -->
160
  <meta name="twitter:card" content="summary_large_image" />
161
  <meta name="twitter:title" content={optimizedPost.title} />
162
  <meta name="twitter:description" content={optimizedPost.description} />
163

164
  <!-- Schema Markup -->
165
  {schemaMarkup && (
166
    <script type="application/ld+json" set:html={JSON.stringify(schemaMarkup)} />
167
  )}
168
</head>

1
export class ContentPersonalizationEngine {
2
  private userProfiler: UserProfilingService;
3
  private contentRecommender: ContentRecommendationEngine;
4
  private abTester: ABTestingService;
5

6
  async personalizeContent(
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    userId: string,
8
    content: BlogPost[]
9
  ): Promise<PersonalizedContent> {
10
    // Build user profile
11
    const userProfile = await this.userProfiler.buildProfile(userId);
12

13
    // Generate personalized content variations
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    const personalizedVariations = await this.generatePersonalizedVariations(
15
      content,
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      userProfile
17
    );
18

19
    // A/B test different personalization strategies
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    const testConfig = await this.abTester.getTestConfiguration(userId);
21

22
    // Select optimal content based on user profile and test
23
    const selectedContent = await this.selectOptimalContent(
24
      personalizedVariations,
25
      userProfile,
26
      testConfig
27
    );
28

29
    // Track personalization effectiveness
30
    await this.trackPersonalizationMetrics(
31
      userId,
32
      selectedContent,
33
      userProfile
34
    );
35

36
    return selectedContent;
37
  }
38

39
  private async generatePersonalizedVariations(
40
    content: BlogPost[],
41
    userProfile: UserProfile
42
  ): Promise<PersonalizedVariation[]> {
43
    const variations = [];
44

45
    for (const post of content) {
46
      // Generate personalized introduction
47
      const personalizedIntro = await this.generatePersonalizedIntro(
48
        post,
49
        userProfile
50
      );
51

52
      // Adjust technical complexity
53
      const adjustedContent = await this.adjustContentComplexity(
54
        post,
55
        userProfile.technicalLevel
56
      );
57

58
      // Add relevant examples
59
      const enhancedContent = await this.addRelevantExamples(
60
        adjustedContent,
61
        userProfile.interests
62
      );
63

64
      variations.push({
65
        postId: post.id,
66
        originalPost: post,
67
        personalizedIntro,
68
        adjustedContent: enhancedContent,
69
        personalizedCTA: await this.generatePersonalizedCTA(post, userProfile),
70
        relevanceScore: this.calculateRelevanceScore(post, userProfile)
71
      });
72
    }
73

74
    return variations;
75
  }
76

77
  private async generatePersonalizedIntro(
78
    post: BlogPost,
79
    userProfile: UserProfile
80
  ): Promise<string> {
81
    const introPrompt = `
82
    Create a personalized introduction for this blog post based on the reader's profile:
83

84
    Post Title: ${post.title}
85
    Original Intro: ${post.content.substring(0, 500)}
86

87
    Reader Profile:
88
    - Experience Level: ${userProfile.technicalLevel}
89
    - Interests: ${userProfile.interests.join(', ')}
90
    - Previous Reading History: ${userProfile.readingHistory.topics.join(', ')}
91
    - Preferred Learning Style: ${userProfile.learningStyle}
92

93
    Create a compelling, personalized introduction that:
94
    1. Acknowledges their experience level
95
    2. Connects to their interests
96
    3. References relevant topics they've read
97
    4. Adapts to their learning style
98
    5. Maintains the original post's value proposition
99

100
    Keep it engaging and under 200 words.
101
    `;
102

103
    const response = await this.llm.complete({
104
      prompt: introPrompt,
105
      temperature: 0.6
106
    });
107

108
    return response.trim();
109
  }
110
}
111

112
// Real-time personalization API
113
// src/pages/api/personalize.ts
114
export const POST: APIRoute = async ({ request }) => {
115
  const { userId, contentIds } = await request.json();
116

117
  const personalizationEngine = new ContentPersonalizationEngine();
118

119
  try {
120
    // Get original content
121
    const content = await getPostsByIds(contentIds);
122

123
    // Apply personalization
124
    const personalizedContent = await personalizationEngine.personalizeContent(
125
      userId,
126
      content
127
    );
128

129
    return new Response(JSON.stringify({
130
      success: true,
131
      personalizedContent,
132
      timestamp: Date.now()
133
    }), {
134
      headers: { 'Content-Type': 'application/json' }
135
    });
136
  } catch (error) {
137
    return new Response(JSON.stringify({
138
      success: false,
139
      error: error.message
140
    }), {
141
      status: 500,
142
      headers: { 'Content-Type': 'application/json' }
143
    });
144
  }
145
};

1
export class ContentAutomationWorkflow {
2
  private contentPlanner: ContentPlanningService;
3
  private socialMediaManager: SocialMediaAutomation;
4
  private emailMarketing: EmailMarketingService;
5
  private analyticsTracker: AnalyticsTrackingService;
6

7
  async runAutomatedContentWorkflow(
8
    config: AutomationConfig
9
  ): Promise<WorkflowResult> {
10
    const workflow = new ContentWorkflow(config);
11

12
    // Phase 1: Content Planning
13
    const contentPlan = await this.contentPlanner.generateContentPlan({
14
      topics: config.topics,
15
      frequency: config.publishingFrequency,
16
      targetAudience: config.audience,
17
      seoGoals: config.seoGoals
18
    });
19

20
    // Phase 2: Content Generation
21
    const generatedContent = await this.generateContentBatch(contentPlan);
22

23
    // Phase 3: Quality Assurance
24
    const qualityCheckedContent = await this.runQualityAssurance(generatedContent);
25

26
    // Phase 4: Publishing
27
    const publishingResults = await this.publishContent(qualityCheckedContent);
28

29
    // Phase 5: Promotion
30
    const promotionResults = await this.promoteContent(publishingResults);
31

32
    // Phase 6: Analytics and Optimization
33
    const analyticsResults = await this.trackAndOptimize(publishingResults);
34

35
    return {
36
      contentGenerated: generatedContent.length,
37
      contentPublished: publishingResults.length,
38
      promotionReach: promotionResults.totalReach,
39
      analyticsInsights: analyticsResults,
40
      nextRecommendations: await this.generateNextSteps(analyticsResults)
41
    };
42
  }
43

44
  private async generateContentBatch(plan: ContentPlan): Promise<GeneratedContent[]> {
45
    const contentPromises = plan.items.map(async (item) => {
46
      const aiService = new AIContentService();
47

48
      const content = await aiService.generateBlogPost({
49
        topic: item.topic,
50
        targetAudience: item.audience,
51
        contentType: item.type,
52
        tone: item.tone,
53
        wordCount: item.wordCount,
54
        targetLanguages: item.languages,
55
        seoKeywords: item.keywords
56
      });
57

58
      return {
59
        ...content,
60
        scheduledDate: item.publishDate,
61
        promotionStrategy: item.promotionPlan
62
      };
63
    });
64

65
    return Promise.all(contentPromises);
66
  }
67

68
  private async promoteContent(
69
    publishedContent: PublishedContent[]
70
  ): Promise<PromotionResults> {
71
    const promotionPromises = publishedContent.map(async (content) => {
72
      // Social media promotion
73
      const socialResults = await this.socialMediaManager.promotePost({
74
        post: content,
75
        platforms: ['twitter', 'linkedin', 'facebook'],
76
        scheduledTimes: content.promotionStrategy.socialSchedule
77
      });
78

79
      // Email newsletter inclusion
80
      const emailResults = await this.emailMarketing.includeInNewsletter({
81
        post: content,
82
        segment: content.targetAudience,
83
        sendDate: content.promotionStrategy.emailDate
84
      });
85

86
      return {
87
        postId: content.id,
88
        socialReach: socialResults.totalReach,
89
        emailReach: emailResults.recipients,
90
        engagementRate: socialResults.engagementRate
91
      };
92
    });
93

94
    const results = await Promise.all(promotionPromises);
95

96
    return {
97
      totalReach: results.reduce((sum, r) => sum + r.socialReach + r.emailReach, 0),
98
      averageEngagement: results.reduce((sum, r) => sum + r.engagementRate, 0) / results.length,
99
      promotionDetails: results
100
    };
101
  }
102
}
103

104
// Cron job for automated workflow
105
// src/scripts/automated-content-cron.ts
106
import cron from 'node-cron';
107

108
const automationWorkflow = new ContentAutomationWorkflow();
109

110
// Run daily content generation at 2 AM
111
cron.schedule('0 2 * * *', async () => {
112
  console.log('Starting automated content generation...');
113

114
  try {
115
    const config = await loadAutomationConfig();
116
    const results = await automationWorkflow.runAutomatedContentWorkflow(config);
117

118
    console.log(`Workflow completed: ${results.contentGenerated} posts generated`);
119

120
    // Send summary report
121
    await sendWorkflowReport(results);
122
  } catch (error) {
123
    console.error('Automation workflow failed:', error);
124
    await alertAdministrators(error);
125
  }
126
});
127

128
// Weekly analytics and optimization
129
cron.schedule('0 10 * * 1', async () => {
130
  console.log('Running weekly content optimization...');
131

132
  const optimizer = new ContentOptimizer();
133
  const insights = await optimizer.analyzeWeeklyPerformance();
134
  const optimizations = await optimizer.generateOptimizations(insights);
135

136
  await applyContentOptimizations(optimizations);
137
});

1
export class VoiceEnabledBlogService {
2
  private speechSynthesis: SpeechSynthesisService;
3
  private voicePersonalization: VoicePersonalizationEngine;
4

5
  async generateAudioVersion(
6
    post: BlogPost,
7
    voiceConfig: VoiceConfig
8
  ): Promise<AudioBlogPost> {
9
    // Optimize text for speech synthesis
10
    const speechOptimizedText = await this.optimizeForSpeech(post.content);
11

12
    // Generate natural-sounding audio
13
    const audioContent = await this.speechSynthesis.synthesize({
14
      text: speechOptimizedText,
15
      voice: voiceConfig.voice,
16
      speed: voiceConfig.speed,
17
      tone: voiceConfig.tone,
18
      language: post.language || 'en'
19
    });
20

21
    // Add chapter markers for navigation
22
    const chapterMarkers = this.generateChapterMarkers(speechOptimizedText);
23

24
    // Generate transcript with timestamps
25
    const transcript = await this.generateTimestampedTranscript(
26
      speechOptimizedText,
27
      audioContent
28
    );
29

30
    return {
31
      audioUrl: await this.uploadAudio(audioContent),
32
      duration: audioContent.duration,
33
      chapters: chapterMarkers,
34
      transcript,
35
      metadata: {
36
        voice: voiceConfig.voice,
37
        speed: voiceConfig.speed,
38
        generatedAt: new Date()
39
      }
40
    };
41
  }
42

43
  private async optimizeForSpeech(content: string): Promise<string> {
44
    const optimizationPrompt = `
45
    Optimize this blog post content for natural speech synthesis:
46

47
    "${content}"
48

49
    Improvements needed:
50
    1. Expand abbreviations and acronyms
51
    2. Add pronunciation guides for technical terms
52
    3. Improve sentence flow for natural speech
53
    4. Add appropriate pauses and emphasis markers
54
    5. Convert code blocks to descriptive speech
55
    6. Make lists more speech-friendly
56

57
    Return the optimized text that sounds natural when read aloud.
58
    `;
59

60
    const optimized = await this.llm.complete({
61
      prompt: optimizationPrompt,
62
      temperature: 0.4
63
    });
64

65
    return optimized.trim();
66
  }
67
}
68

69
// Component integration
70
// src/components/VoiceEnabledPost.astro
71
---
72
import { VoiceEnabledBlogService } from '@/services/voice-reading-service';
73

74
interface Props {
75
  post: BlogPost;
76
  enableVoice?: boolean;
77
}
78

79
const { post, enableVoice = true } = Astro.props;
80

81
let audioVersion = null;
82
if (enableVoice) {
83
  const voiceService = new VoiceEnabledBlogService();
84
  audioVersion = await voiceService.generateAudioVersion(post, {
85
    voice: 'professional',
86
    speed: 1.0,
87
    tone: 'conversational'
88
  });
89
}
90
---
91

92
<article class="voice-enabled-post">
93
  {audioVersion && (
94
    <div class="audio-player">
95
      <audio controls preload="metadata">
96
        <source src={audioVersion.audioUrl} type="audio/mpeg">
97
        Your browser does not support audio playback.
98
      </audio>
99

100
      <div class="audio-chapters">
101
        {audioVersion.chapters.map(chapter => (
102
          <button
103
            data-time={chapter.startTime}
104
            onclick="seekTo(this.dataset.time)"
105
          >
106
            {chapter.title}
107
          </button>
108
        ))}
109
      </div>
110

111
      <details class="transcript">
112
        <summary>View Transcript</summary>
113
        <div class="transcript-content">
114
          {audioVersion.transcript.segments.map(segment => (
115
            <p data-timestamp={segment.timestamp}>
116
              {segment.text}
117
            </p>
118
          ))}
119
        </div>
120
      </details>
121
    </div>
122
  )}
123

124
  <div class="post-content">
125
    <slot />
126
  </div>
127
</article>