feat: Improve book quality — stronger evaluator, more refinement attempts, quality-first model selection

- Fix: chapter quality evaluation now uses model_logic (free Pro) instead of model_writer (Flash).
  The model that wrote the chapter was also scoring it, causing circular, lenient grading.
- Increase max_attempts in write_chapter from 2 to 3 for more refinement passes per chapter.
- Update auto model selection prompt (ai/setup.py) to prioritize quality over budget framing:
  free/preview/exp models preferred by capability (Pro > Flash, 2.5 > 2.0 > 1.5), not just cost.
  Writer role now allowed to use best free Flash/Pro preview — not restricted to basic Flash only.
- Bump version to 3.0.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

story/writer.py

@@ -327,7 +327,7 @@ def write_chapter(chap, bp, folder, prev_sum, tracking=None, prev_content=None,
         utils.log("WRITER", f"⚠️ Failed Ch {chap['chapter_number']}: {e}")
         return f"## Chapter {chap['chapter_number']} Failed\n\nError: {e}"
 
-    max_attempts = 2
+    max_attempts = 3
     SCORE_AUTO_ACCEPT = 8
     SCORE_PASSING = 7
     SCORE_REWRITE_THRESHOLD = 6
@@ -338,7 +338,7 @@ def write_chapter(chap, bp, folder, prev_sum, tracking=None, prev_content=None,
 
     for attempt in range(1, max_attempts + 1):
         utils.log("WRITER", f"  -> Evaluating Ch {chap['chapter_number']} (Attempt {attempt}/{max_attempts})...")
-        score, critique = evaluate_chapter_quality(current_text, chap['title'], meta.get('genre', 'Fiction'), ai_models.model_writer, folder, series_context=series_block.strip())
+        score, critique = evaluate_chapter_quality(current_text, chap['title'], meta.get('genre', 'Fiction'), ai_models.model_logic, folder, series_context=series_block.strip())
 
         past_critiques.append(f"Attempt {attempt}: {critique}")