diff --git a/docs/docs/usage-guide/changing_a_model.md b/docs/docs/usage-guide/changing_a_model.md
index ed57bb3e..6ee03759 100644
--- a/docs/docs/usage-guide/changing_a_model.md
+++ b/docs/docs/usage-guide/changing_a_model.md
@@ -50,7 +50,7 @@ api_base = "http://localhost:11434" # or whatever port you're running Ollama on
     Qodo Merge is compatible with almost any AI model, but analyzing complex code repositories and pull requests requires a model specifically optimized for code analysis.
     Commercial models such as GPT-4, Claude Sonnet, and Gemini have demonstrated robust capabilities in generating structured output for code analysis tasks with large input. In contrast, most open-source models currently available (as of January 2025) face challenges with these complex tasks.
     Based on our testing, local open-source models are suitable for experimentation and learning purposes, but they are not suitable for production-level code analysis tasks.
-    Hence, for production workflows and real-world code analysis, we recommend using commercial models.
+    Hence, for production workflows and real-world usage, we recommend using commercial models.
 
 ### Hugging Face Inference Endpoints