AI-Powered React Components vs Basic Liquid Automation

{% comment %} Simple Liquid automation - static and limited {% endcomment %}

{% if product.available %}
{% if product.compare_at_price > product.price %}
  <span class="sale-badge">Sale</span>
{% endif %}
<button class="add-to-cart">Add to Cart</button>
{% else %}
<button class="notify-me" disabled>Notify When Available</button>  
{% endif %}

{% comment %} Limited personalization {% endcomment %}
{% if customer %}
<p>Welcome back, {{ customer.first_name }}!</p>
{% else %}
<p>Welcome, guest!</p>
{% endif %}

// Intelligent component that adapts based on user behavior and performance data
interface AIComponentProps {
productId: string;
userId?: string;
sessionData: SessionData;
performanceContext: PerformanceContext;
}

export function AIProductCard({ 
productId, 
userId, 
sessionData, 
performanceContext 
}: AIComponentProps) {
// AI-powered component optimization
const aiOptimizations = useAIOptimizations({
  componentId: 'product-card',
  context: { productId, userId, sessionData },
  performanceMetrics: performanceContext,
});

// Dynamic layout based on user behavior patterns
const optimalLayout = aiOptimizations.layout; // 'compact' | 'detailed' | 'visual'

// AI-generated content variations
const { 
  title, 
  description, 
  ctaText, 
  priceDisplay 
} = aiOptimizations.content;

// Intelligent interaction predictions
const predictedActions = aiOptimizations.predictedUserActions;

return (
  <ProductCardContainer 
    layout={optimalLayout}
    priority={predictedActions.addToCartProbability}
  >
    <ProductImage 
      src={product.image}
      loading={predictedActions.viewProbability > 0.7 ? 'eager' : 'lazy'}
      optimizedFor={aiOptimizations.imageStrategy}
    />
    
    <ProductContent>
      <ProductTitle variant={aiOptimizations.titleStyle}>
        {title}
      </ProductTitle>
      
      {description && (
        <ProductDescription 
          length={aiOptimizations.descriptionLength}
        >
          {description}
        </ProductDescription>
      )}
      
      <PriceDisplay 
        strategy={priceDisplay.strategy}
        emphasis={priceDisplay.emphasis}
        showComparison={priceDisplay.showComparison}
      />
      
      <SmartCTAButton
        text={ctaText}
        variant={aiOptimizations.ctaVariant}
        urgency={aiOptimizations.urgencyLevel}
        predictedConversion={predictedActions.addToCartProbability}
      />
    </ProductContent>
  </ProductCardContainer>
);
}

// AI-generated component based on business goals and user data
import { generateOptimalComponent } from '@weaverse/ai-components';

interface BusinessGoals {
primaryKPI: 'conversion' | 'engagement' | 'revenue' | 'retention';
targetAudience: UserSegment;
brandGuidelines: BrandSpec;
performanceRequirements: PerformanceSpec;
}

export async function createIntelligentHeroSection(
goals: BusinessGoals,
historicalData: AnalyticsData
): Promise<React.ComponentType> {
// AI analyzes business goals and historical performance
const analysis = await analyzeBusinessContext({
  goals,
  historicalData,
  competitorData: await getCompetitorAnalysis(),
  industryBenchmarks: await getIndustryBenchmarks(),
});

// Generate component optimized for specific business outcomes
const OptimizedHeroSection = generateOptimalComponent({
  type: 'hero-section',
  optimization: {
    conversionFocus: analysis.optimalConversionElements,
    layoutStrategy: analysis.recommendedLayout,
    contentStrategy: analysis.contentOptimizations,
    interactionPatterns: analysis.optimalInteractions,
  },
  constraints: {
    performance: goals.performanceRequirements,
    brand: goals.brandGuidelines,
    accessibility: 'WCAG-AA',
  },
});

return OptimizedHeroSection;
}

// Component that predicts and pre-loads user's next actions
export function PredictiveNavigation() {
const user = useCurrentUser();
const { predictions } = useUserIntentPrediction(user.id);

// AI predicts next likely user actions
const predictedCategories = predictions.likelyCategories; // ['electronics', 'home-garden']
const searchIntent = predictions.searchIntent; // 'laptop accessories'
const conversionProbability = predictions.conversionProbability; // 0.73

return (
  <NavigationContainer>
    {/* Standard navigation items */}
    <PrimaryNavigation />
    
    {/* AI-powered predictive elements */}
    <PredictiveSection>
      <QuickAccess>
        {predictedCategories.map(category => (
          <PredictiveLink
            key={category}
            to={`/collections/${category}`}
            prefetch="intent" // Pre-load based on prediction confidence
            confidence={predictions.categoryConfidence[category]}
          >
            {category}
          </PredictiveLink>
        ))}
      </QuickAccess>
      
      {searchIntent && (
        <SmartSearchSuggestion
          query={searchIntent}
          confidence={predictions.searchConfidence}
          onSelect={() => trackPredictionAccuracy('search', searchIntent)}
        />
      )}
      
      {conversionProbability > 0.6 && (
        <ConversionOptimization
          urgency={conversionProbability > 0.8 ? 'high' : 'medium'}
          personalizedOffer={predictions.optimalOffer}
        />
      )}
    </PredictiveSection>
  </NavigationContainer>
);
}

// AI-generated content that adapts to user context and performance
export function IntelligentProductDescription({ 
product, 
userContext, 
performanceMetrics 
}: IntelligentContentProps) {
// AI generates content optimized for this specific user
const { optimizedContent } = useAIContentGeneration({
  product,
  userSegment: userContext.segment, // 'tech-savvy' | 'price-conscious' | 'luxury'
  intent: userContext.intent, // 'research' | 'compare' | 'buy'
  performanceGoals: ['conversion', 'engagement'],
  previousInteractions: userContext.history,
});

return (
  <ContentContainer>
    {/* AI-optimized headline */}
    <ProductHeadline
      text={optimizedContent.headline}
      emotion={optimizedContent.emotionalTone} // 'excitement' | 'trust' | 'urgency'
      personalization={optimizedContent.personalizationLevel}
    />
    
    {/* Dynamic feature highlighting based on user interests */}
    <FeatureHighlights>
      {optimizedContent.prioritizedFeatures.map(feature => (
        <FeaturePoint
          key={feature.id}
          feature={feature}
          relevanceScore={feature.userRelevance}
          presentationStyle={feature.optimalPresentation}
        />
      ))}
    </FeatureHighlights>
    
    {/* AI-generated social proof */}
    {optimizedContent.socialProof && (
      <SocialProofSection
        strategy={optimizedContent.socialProof.strategy}
        testimonials={optimizedContent.socialProof.selectedTestimonials}
        trustSignals={optimizedContent.socialProof.trustIndicators}
      />
    )}
    
    {/* Personalized call-to-action */}
    <PersonalizedCTA
      text={optimizedContent.ctaText}
      urgency={optimizedContent.urgencyLevel}
      incentive={optimizedContent.personalizedIncentive}
    />
  </ContentContainer>
);
}

// Multi-tenant AI system for enterprise component optimization
export class EnterpriseAIComponentSystem {
private aiModels: Map<string, AIModel> = new Map();
private tenantConfigurations: Map<string, TenantConfig> = new Map();

async optimizeComponentForTenant(
  tenantId: string,
  componentType: string,
  context: BusinessContext
): Promise<OptimizedComponent> {
  const tenantConfig = this.tenantConfigurations.get(tenantId);
  const aiModel = this.aiModels.get(tenantId) || await this.createTenantModel(tenantId);
  
  // Tenant-specific optimization considering:
  const optimization = await aiModel.optimize({
    componentType,
    brandGuidelines: tenantConfig.brand,
    audienceSegments: tenantConfig.targetAudiences,
    performanceGoals: tenantConfig.kpis,
    competitiveContext: await this.getCompetitiveAnalysis(tenantId),
    historicalPerformance: await this.getTenantAnalytics(tenantId),
    globalBenchmarks: await this.getIndustryBenchmarks(tenantConfig.industry),
  });
  
  return {
    component: optimization.optimizedComponent,
    confidence: optimization.confidenceScore,
    expectedImprovement: optimization.projectedPerformance,
    testingStrategy: optimization.recommendedTesting,
  };
}

async trainTenantModel(
  tenantId: string,
  performanceData: PerformanceData[]
): Promise<void> {
  const model = this.aiModels.get(tenantId);
  
  // Continuous learning from tenant-specific performance data
  await model.updateWithPerformanceData(performanceData);
  
  // Cross-tenant learning while preserving privacy
  await this.shareAnonymizedInsights(tenantId, performanceData);
}
}

// AI generates design tokens optimized for brand and performance
export async function generateOptimalDesignSystem(
brandAssets: BrandAssets,
performanceRequirements: PerformanceSpec,
accessibilityLevel: AccessibilitySpec
): Promise<DesignSystem> {

const aiDesigner = new AIDesignSystemGenerator();

// Analyze brand assets for design direction
const brandAnalysis = await aiDesigner.analyzeBrandAssets({
  logo: brandAssets.logo,
  existingColors: brandAssets.colors,
  typography: brandAssets.fonts,
  imageStyle: brandAssets.photography,
});

// Generate optimized design tokens
const designTokens = await aiDesigner.generateTokens({
  colorPalette: {
    primary: brandAnalysis.optimalPrimary,
    secondary: brandAnalysis.suggestedSecondary,
    neutral: brandAnalysis.neutralPalette,
    semantic: brandAnalysis.semanticColors, // success, warning, error
  },
  typography: {
    fontStack: brandAnalysis.optimalFonts,
    scales: brandAnalysis.typographicScale,
    weights: brandAnalysis.fontWeights,
  },
  spacing: {
    scale: brandAnalysis.spatialRhythm,
    components: brandAnalysis.componentSpacing,
  },
  animation: {
    timing: brandAnalysis.brandPersonality.timing,
    easing: brandAnalysis.brandPersonality.easing,
    duration: brandAnalysis.brandPersonality.duration,
  },
});

// Performance optimization of design tokens
const optimizedTokens = await aiDesigner.optimizeForPerformance({
  tokens: designTokens,
  performanceGoals: performanceRequirements,
  accessibilityRequirements: accessibilityLevel,
});

return {
  tokens: optimizedTokens,
  components: await aiDesigner.generateComponents(optimizedTokens),
  guidelines: await aiDesigner.generateUsageGuidelines(optimizedTokens),
  performanceImpact: await aiDesigner.analyzePerformanceImpact(optimizedTokens),
};
}