Strengthened writing.

modules/ai.py

@@ -85,7 +85,30 @@ def select_best_models(force_refresh=False):
             utils.log("SYSTEM", f"Bootstrapping model selection with: {bootstrapper}")
             
         model = genai.GenerativeModel(bootstrapper)
-        prompt = f"Analyze this list of available Google Gemini models:\n{json.dumps(models)}\n\nSelect the best model for each of these three roles based on these criteria:\n- Most recent version with best features and ability.\n- Beta versions are okay, but avoid 'experimental' if a stable beta/prod version exists.\n- Consider quota efficiency (Flash is cheaper/faster, Pro is smarter).\n\nROLES:\n1. LOGIC: For complex reasoning, JSON structuring, and plot planning.\n2. WRITER: For creative fiction writing, prose generation, and speed.\n3. ARTIST: For generating visual art prompts and design instructions.\n\nAlso provide a 'ranking' list of ALL models analyzed, ordered from best/most useful to worst/least useful, with a short reason.\n\nReturn JSON: {{ 'logic': {{ 'model': 'model_name', 'reason': 'reasoning' }}, 'writer': {{ 'model': 'model_name', 'reason': 'reasoning' }}, 'artist': {{ 'model': 'model_name', 'reason': 'reasoning' }}, 'ranking': [ {{ 'model': 'model_name', 'reason': 'reasoning' }} ] }}"
+        prompt = f"""
+        ROLE: AI Model Architect
+        TASK: Select the optimal Gemini models for specific application roles.
+        
+        AVAILABLE_MODELS:
+        {json.dumps(models)}
+        
+        CRITERIA:
+        - LOGIC: Needs complex reasoning, JSON adherence, and instruction following. (Prefer Pro/1.5).
+        - WRITER: Needs creativity, prose quality, and speed. (Prefer Flash/1.5 for speed, or Pro for quality).
+        - ARTIST: Needs visual prompt understanding.
+        
+        CONSTRAINTS:
+        - Avoid 'experimental' unless no stable version exists.
+        - Prioritize 'latest' or stable versions.
+        
+        OUTPUT_FORMAT (JSON):
+        {{
+            "logic": {{ "model": "string", "reason": "string" }},
+            "writer": {{ "model": "string", "reason": "string" }},
+            "artist": {{ "model": "string", "reason": "string" }},
+            "ranking": [ {{ "model": "string", "reason": "string" }} ]
+        }}
+        """
         
         try:
             response = model.generate_content(prompt)