diff --git a/src/content/when_to_use_ai.md b/src/content/when_to_use_ai.md
index d273ce9..2709951 100644
--- a/src/content/when_to_use_ai.md
+++ b/src/content/when_to_use_ai.md
@@ -62,9 +62,6 @@ So, when is it time to say “AI, nope”? When the data is messy, the tasks are
 | Repetitive tasks | ✅ | AI handles math and logic |
 | Creative decisions | ❌ | AI lacks the ability to think creatively |
 
-<<<<<<< HEAD
-In the end, AI is just another tool. Use it when it works, and don’t let it define your workflow. 😄 *And if you ever feel like AI is overstepping, remember: it’s just trying to be helpful. Sometimes it’s not the best choice. Sometimes it’s the only choice.*
-=======
 So I had to manually read each work type and map it to a work request. It was a *shudder-inducing* task.
 
 ## The Final Thought
@@ -77,4 +74,3 @@ So, in summary:
 And that’s why I’m a journalist, a developer, and a DevOps expert. I know when to trust the machine and when to rely on my brain.
 
 > *“When in doubt, just do it.”*
->>>>>>> 9c92d19 ('```)