diff --git a/examples/turn-management/turn-management-filter-incomplete-turns.py b/examples/turn-management/turn-management-filter-incomplete-turns.py
index 00066b6c8..99c0394fb 100644
--- a/examples/turn-management/turn-management-filter-incomplete-turns.py
+++ b/examples/turn-management/turn-management-filter-incomplete-turns.py
@@ -10,7 +10,7 @@ Demonstrates LLM-based turn completion detection to suppress bot responses when
 the user was cut off mid-thought. The LLM outputs one of three markers:
 - ✓ (complete): User finished their thought, respond normally
 - ○ (incomplete short): User was cut off, wait ~5s then prompt
-- ◐ (incomplete long): User needs time to think, wait ~15s then prompt
+- ◐ (incomplete long): User needs time to think, wait ~10s then prompt
 
 When incomplete is detected, the bot's response is suppressed. After the timeout
 expires, the LLM is automatically prompted to re-engage the user.
@@ -91,7 +91,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     # with one of:
     # ✓ = complete (respond normally)
     # ○ = incomplete short (wait 5s, then prompt)
-    # ◐ = incomplete long (wait 15s, then prompt)
+    # ◐ = incomplete long (wait 10s, then prompt)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
         user_params=LLMUserAggregatorParams(
@@ -100,7 +100,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
                 # Optional: customize turn completion behavior
                 # config=UserTurnCompletionConfig(
                 #     incomplete_short_timeout=5.0,
-                #     incomplete_long_timeout=15.0,
+                #     incomplete_long_timeout=10.0,
                 #     incomplete_short_prompt="Custom prompt...",
                 #     incomplete_long_prompt="Custom prompt...",
                 #     instructions="Custom turn completion instructions...",
diff --git a/src/pipecat/turns/user_turn_completion_mixin.py b/src/pipecat/turns/user_turn_completion_mixin.py
index cf600466d..c423e16bf 100644
--- a/src/pipecat/turns/user_turn_completion_mixin.py
+++ b/src/pipecat/turns/user_turn_completion_mixin.py
@@ -187,8 +187,8 @@ class UserTurnCompletionLLMServiceMixin(FrameProcessor):
     It processes turn completion markers to enable smarter conversation flow:
 
     - ✓ (COMPLETE): Push response normally
-    - ○ (INCOMPLETE SHORT): Suppress response, wait ~5s, then prompt
-    - ◐ (INCOMPLETE LONG): Suppress response, wait ~15s, then prompt
+    - ○ (INCOMPLETE SHORT): Suppress response, wait 5s, then prompt
+    - ◐ (INCOMPLETE LONG): Suppress response, wait 10s, then prompt
 
     When incomplete timeouts expire, the mixin automatically prompts the LLM
     with a contextual follow-up message to re-engage the user.
diff --git a/src/pipecat/turns/user_turn_strategies.py b/src/pipecat/turns/user_turn_strategies.py
index eee0b6ff6..613722804 100644
--- a/src/pipecat/turns/user_turn_strategies.py
+++ b/src/pipecat/turns/user_turn_strategies.py
@@ -138,7 +138,7 @@ class FilterIncompleteUserTurnStrategies(UserTurnStrategies):
         user_turn_strategies=FilterIncompleteUserTurnStrategies(
             config=UserTurnCompletionConfig(
                 incomplete_short_timeout=5.0,
-                incomplete_long_timeout=15.0,
+                incomplete_long_timeout=10.0,
             ),
         )
     """