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@@ -332,6 +332,11 @@ with the best architecture for my project
 
 **Thinking Mode:** Default is `medium` (8,192 tokens). Use `high` for security-critical code (worth the extra tokens) or `low` for quick style checks (saves ~6k tokens).
 
+**Model Recommendation:** This tool particularly benefits from Gemini Pro or Flash models due to their 1M context window, 
+which allows comprehensive analysis of large codebases. Claude's context limitations make it challenging to see the
+"big picture" in complex projects - this is a concrete example where utilizing a secondary model with larger context 
+provides significant value beyond just experimenting with different AI capabilities.
+
 #### Example Prompts:
 
 ```
@@ -350,6 +355,12 @@ I need an actionable plan but break it down into smaller quick-wins that we can
 
 **Thinking Mode:** Default is `medium` (8,192 tokens). Use `high` or `max` for critical releases when thorough validation justifies the token cost.
 
+**Model Recommendation:** Pre-commit validation benefits significantly from models with
+extended context windows like Gemini Pro, which can analyze extensive changesets across 
+multiple files and repositories simultaneously. This comprehensive view enables detection of
+cross-file dependencies, architectural inconsistencies, and integration issues that might be
+missed when reviewing changes in isolation due to context constraints.
+
 <div align="center">
   <img src="https://github.com/user-attachments/assets/584adfa6-d252-49b4-b5b0-0cd6e97fb2c6" width="950">
 </div>
@@ -429,6 +440,11 @@ Use zen and perform a thorough precommit ensuring there aren't any new regressio
 
 **Thinking Mode (Extended thinking models):** Default is `medium` (8,192 tokens). Use `high` for complex systems with many interactions or `max` for critical systems requiring exhaustive test coverage.
 
+**Model Recommendation:** Test generation excels with extended reasoning models like Gemini Pro or O3, 
+which can analyze complex code paths, understand intricate dependencies, and identify comprehensive edge
+cases. The combination of large context windows and advanced reasoning enables generation of thorough test
+suites that cover realistic failure scenarios and integration points that shorter-context models might overlook.
+
 #### Example Prompts:
 
 **Basic Usage:**