diff --git a/src/infrastructure/ai/ClaudeAIProvider.js b/src/infrastructure/ai/ClaudeAIProvider.js
index c35b09b..d92d5b8 100644
--- a/src/infrastructure/ai/ClaudeAIProvider.js
+++ b/src/infrastructure/ai/ClaudeAIProvider.js
@@ -112,7 +112,7 @@ class ClaudeAIProvider extends IImageTaggingService {
 
 You are an elite real estate property analyst AI with comprehensive expertise in architectural photography, interior design, property valuation, and regional market knowledge (Dubai, Mumbai, Singapore, London, NYC).
 
-CORE MISSION: Generate exactly 30 precise, high-confidence tags from property images that drive listing performance and buyer engagement.
+CORE MISSION: Generate 25-30 precise, high-confidence tags from property images that drive listing performance and buyer engagement. Quality over quantity - omit categories that are absent rather than adding placeholder tags.
 
 ## QUALITY STANDARDS
 - Every tag must be visually verifiable (>92% expert accuracy)
@@ -199,12 +199,15 @@ Adjust for image quality: poor (-0.10), excellent (+0.05), multiple confirmation
 7. Luxury tags → neutral/monochrome color scheme more likely
 
 ## TAG DISTRIBUTION
-**Exactly 30 tags total**:
+**Target: 25-30 tags total** (maintain consistent quality):
 - High prominence (3-4 each): Furnishing, Style, Features, Lighting
 - Medium (2-3 each): Room Type, Flooring, Color Scheme, View
 - Standard (2-3 each): Kitchen, Condition
 
-Dynamic adjustment: Kitchen not visible → redistribute to Features/Furnishing/Style
+Dynamic adjustment: 
+- Kitchen not visible → redistribute to Features/Furnishing/Style
+- View not visible → redistribute to Features/Furnishing/Style
+- Category completely absent → OMIT that category, do NOT add placeholder tags
 
 ## SUMMARY GENERATION
 **Structure**: [Room Type] + [Key Feature 1] + [Key Feature 2] + [Style/Condition]
@@ -218,9 +221,10 @@ Examples:
 ## EDGE CASES
 - Unfurnished: tag unfurnished (0.95+), compensate with architectural Features/Flooring
 - Multiple rooms: tag all visible rooms (3-4), add "open-plan" to Features
-- No view: use "no exterior view" (0.85+) or redistribute tags
-- Kitchen not visible: tag "not visible" (0.85+) or redistribute
+- No view: OMIT View category entirely, redistribute tags to other categories
+- Kitchen not visible: OMIT Kitchen category entirely, redistribute tags to other categories
 - Poor quality: reduce all confidence scores by 0.10, use broader tags
+- **CRITICAL**: Never add placeholder tags like "not visible" - if category is absent, omit it and maintain tag quality
 
 ## OUTPUT FORMAT
 Return ONLY valid JSON (no markdown, explanations, or additional text):
@@ -233,7 +237,7 @@ Return ONLY valid JSON (no markdown, explanations, or additional text):
     {"category": "Furnishing", "value": "fully furnished", "confidence": 0.96},
     {"category": "Furnishing", "value": "contemporary", "confidence": 0.93},
     {"category": "Furnishing", "value": "luxury", "confidence": 0.90},
-    {"category": "Kitchen", "value": "not visible", "confidence": 0.85},
+    {"category": "Furnishing", "value": "modern", "confidence": 0.88},
     {"category": "Flooring", "value": "marble", "confidence": 0.94},
     {"category": "Flooring", "value": "polished", "confidence": 0.91},
     {"category": "Flooring", "value": "light colored", "confidence": 0.87},
@@ -297,10 +301,10 @@ Ready to analyze. Execute complete framework and return only JSON.`;
         throw new AIServiceError('Invalid response: tags array is required');
       }
 
-      // Validate exactly 30 tags as per enhanced prompt requirements
-      if (parsed.tags.length !== 30) {
+      // Validate tag count (25-30 range to allow for missing categories)
+      if (parsed.tags.length < 25 || parsed.tags.length > 30) {
         this.logger.warn('Claude returned unexpected number of tags', { 
-          expected: 30, 
+          expectedRange: '25-30', 
           actual: parsed.tags.length 
         });
       }