diff --git a/backend/ai.py b/backend/ai.py
index 9240f0e..a8c52d4 100644
--- a/backend/ai.py
+++ b/backend/ai.py
@@ -3,7 +3,7 @@ import random
 import logging
 from dataclasses import dataclass
 from enum import Enum
-from itertools import combinations
+from itertools import combinations, permutations
 from card import Card
 from game import action_play_card, action_sacrifice, action_end_turn, BOARD_SIZE, STARTING_LIFE
 
@@ -40,14 +40,6 @@ def get_power_curve_value(card) -> float:
 def choose_cards(cards: list[Card], difficulty: int, personality: AIPersonality) -> list[Card]:
   BUDGET = 50
 
-  logger.info(f"Personality: {personality.value}")
-  logger.info(f"Difficulty: {difficulty}")
-  card_strings = [
-    f"{c.name} {c.cost}"
-    for c in sorted(cards, key=lambda x: x.cost)[::-1][:20]
-  ]
-  logger.info("Cards:\n"+("\n".join(card_strings)))
-
   # God cards (cost 7-11) are gated by difficulty. Below difficulty 7 they are excluded.
   # Each level from 7 upward unlocks a higher cost tier; at difficulty 10 all are allowed.
   if difficulty >= 6:
@@ -139,13 +131,6 @@ def choose_cards(cards: list[Card], difficulty: int, personality: AIPersonality)
     selected.append(card)
     total_cost += card.cost
 
-
-  card_strings = [
-    f"{c.name} {c.cost}"
-    for c in sorted(selected, key=lambda x: x.cost)
-  ]
-  logger.info("Selected:\n"+("\n".join(card_strings)))
-
   return selected
 
 
@@ -182,13 +167,6 @@ def _plans_for_sacrifice(player, opponent, sacrifice_slots):
   empty_slots = [i for i, c in enumerate(board) if c is None]
   en_board = opponent.board
 
-  # For scoring: open enemy slots first so the simulation reflects
-  # direct-damage potential accurately.
-  scoring_slots = (
-    [s for s in empty_slots if en_board[s] is None] +
-    [s for s in empty_slots if en_board[s] is not None]
-  )
-
   return [
     MovePlan(
       sacrifice_slots=list(sacrifice_slots),
@@ -196,6 +174,7 @@ def _plans_for_sacrifice(player, opponent, sacrifice_slots):
       label=f"sac{len(sacrifice_slots)}_play{len(cards)}",
     )
     for cards in _affordable_subsets(hand, energy)
+    for scoring_slots in permutations(empty_slots, len(cards))
   ]
 
 
@@ -501,10 +480,10 @@ async def run_ai_turn(game_id: str):
               for p in plans]
     best_plan = max(scored, key=lambda x: x[0])[1]
 
-  logger.info(
-    f"AI turn: d={difficulty} p={personality.value} plan={best_plan.label} plans={len(plans)} " +
-    f"sac={best_plan.sacrifice_slots} plays={[c.name for c, _ in best_plan.plays]}"
-  )
+  # logger.info(
+  #   f"AI turn: d={difficulty} p={personality.value} plan={best_plan.label} plans={len(plans)} " +
+  #   f"sac={best_plan.sacrifice_slots} plays={[c.name for c, _ in best_plan.plays]}"
+  # )
 
   # --- Execute sacrifices ---
   for slot in best_plan.sacrifice_slots: