diff --git a/README.md b/README.md
index ad44693..45f0008 100644
--- a/README.md
+++ b/README.md
@@ -11,6 +11,26 @@ A composable DSPy agent that optimizes tweets using a reflective generate-evalua
 - **Structured Evaluation**: 1-9 scoring with detailed reasoning per category
 - **Easy Configuration**: Flexible model, iteration, and patience settings
 
+### Quick Usage
+
+```python
+# Load this pre-trained agent from Modaic Hub
+from modaic import AutoAgent
+
+tweet_optimizer = AutoAgent.from_precompiled("farouk1/tweet-optimizer-v2")
+
+results = tweet_optimizer(
+    input_text="Your tweet content here",
+    iterations=20,
+    patience=7
+)
+
+print(f"Original: {results.initial_text}")
+print(f"Optimized: {results.final_tweet}")
+print(f"Score: {results.best_score:.2f}")
+print(f"Iterations: {results.iterations_run}")
+```
+
 ## Installation
 
 ### Prerequisites
@@ -98,27 +118,6 @@ agent.push_to_hub(
 )
 ```
 
-### Load from Hub
-
-```python
-# Load this pre-trained agent from Modaic Hub
-from modaic import AutoAgent
-
-tweet_optimizer = AutoAgent.from_precompiled("farouk1/tweet-optimizer-v2")
-
-# Use immediately
-results = tweet_optimizer(
-    input_text="Your tweet content here",
-    iterations=20,
-    patience=7
-)
-
-print(f"Original: {results['initial_text']}")
-print(f"Optimized: {results['final_tweet']}")
-print(f"Score: {results['best_score']:.2f}")
-print(f"Iterations: {results['iterations_run']}")
-```
-
 ### Configuration Options
 
 #### TweetOptimizerConfig