diff --git a/src/content/when_to_use_ai.md b/src/content/when_to_use_ai.md
index 68fc0f7..d273ce9 100644
--- a/src/content/when_to_use_ai.md
+++ b/src/content/when_to_use_ai.md
@@ -62,4 +62,19 @@ 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
+
+So, in summary:
+
+*   **AI is not the best choice** when you need precision, accuracy, or a human touch.
+*   **AI is the best choice** when you need to handle ambiguity, find connections, or automate repetitive tasks.
+
+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 ('```)