diff --git a/app/ai_schema.py b/app/ai_schema.py
index a3a67dc..65621d1 100644
--- a/app/ai_schema.py
+++ b/app/ai_schema.py
@@ -141,11 +141,21 @@ EXTRACTION_PROMPT_TEMPLATE = """Extract product price and stock status from this
 - Extract as DECIMAL NUMBER (convert comma to dot): 12,99 -> 12.99
 - Ignore crossed-out/barré prices (old prices)
 - If multiple prices, take the current/main price (not the original)
+
+**CRITICAL - Read digits carefully:**
+- PAY CLOSE ATTENTION to first digit: "1,99 €" is NOT "9,99 €"
+- Double-check: Is it 1, 7, 8, or 9? These look similar
+- Small prices (< 5€) are common: 0,99 €, 1,49 €, 1,99 €, 2,99 €, 3,99 €, 4,99 €
+- VERIFY the price makes sense for the product type
+
 - Examples of valid prices:
+  * "1,99 €" -> 1.99 (NOT 9.99)
+  * "0,99 €" -> 0.99 (NOT 9.99)
   * "89,99 €" -> 89.99
   * "1 234,56 €" -> 1234.56
   * "PRIX DÉTECTÉ: 89,99 €" -> 89.99
 - If you find ANY price with € symbol, extract it with confidence >= 0.8
+- If digits are unclear or blurry, reduce confidence to 0.5-0.7
 - If unclear: set null and confidence < 0.5
 
 **STOCK:**
diff --git a/app/services/ai_service.py b/app/services/ai_service.py
index 60096ae..71da37a 100644
--- a/app/services/ai_service.py
+++ b/app/services/ai_service.py
@@ -343,14 +343,22 @@ class AIService:
                 if len(cleaned_text) > MAX_TEXT_LENGTH:
                     cleaned_text = cleaned_text[:MAX_TEXT_LENGTH] + "...(truncated)"
                 logger.info(f"Added text context (original: {len(page_text)}, cleaned: {len(cleaned_text)})")
-                # Debug: Log first 500 chars of cleaned text to see what AI receives
-                logger.debug(f"Cleaned text preview: {cleaned_text[:500]!r}")
+                # Log first 500 chars of cleaned text to see what AI receives
+                logger.info(f"Cleaned text preview: {cleaned_text[:500]!r}")
+
+                # Extract all potential prices from text for debugging
+                import re
+                price_patterns = re.findall(r'\d+[,\.]\d{2}\s*€', cleaned_text)
+                if price_patterns:
+                    logger.info(f"Prices found in text: {price_patterns[:10]}")  # First 10 prices
+                else:
+                    logger.warning("No prices found in text with € symbol")
             else:
                 logger.warning("No page_text provided - AI will only use screenshot")
 
             prompt = get_extraction_prompt(cleaned_text if cleaned_text else None)
-            # Debug: Log prompt preview
-            logger.debug(f"Prompt preview (first 300 chars): {prompt[:300]!r}")
+            # Log prompt preview
+            logger.info(f"Prompt preview (first 300 chars): {prompt[:300]!r}")
 
             # Call LLM
             response_text = await cls.call_llm(prompt, data_url, config)