diff --git a/v4/examples/twilio-voice-agent.mdx b/v4/examples/twilio-voice-agent.mdx
index de6b7383..8aafd3e4 100644
--- a/v4/examples/twilio-voice-agent.mdx
+++ b/v4/examples/twilio-voice-agent.mdx
@@ -5,8 +5,8 @@ description: "Integrate a real-time AI voice agent with Twilio"
 
 In this tutorial, I'm going to create a real-time voice agent that can respond to any query via speech, in speech that is initiated via a phone call using Twilio. This is an extremely flexible implementation where you can swap in any LLM or Text-to-speech (TTS) model of your liking. This is extremely useful for use cases involving voice such as customer support bots and receptionists.
 
-To create this app, we use the [PipeCat](https://www.pipecat.ai/) framework that takes care of stringing together all the components and it handles some of the functionality we
-might need such as user interruptions, dealing with audio data etc.
+To create this app, we use the [PipeCat](https://www.pipecat.ai/) framework that takes care of stringing together all the components. Pipecat handles some of the functionality we
+might need such as user interruptions and dealing with audio data etc.
 
 You can find the final version of the code [here](https://github.com/CerebriumAI/examples/tree/master/24-twilio-voice-agent)