diff --git a/README.md b/README.md
index 26bbed9..896b6c9 100644
--- a/README.md
+++ b/README.md
@@ -65,7 +65,7 @@ export MODAIC_TOKEN='your-modaic-token'
 ### Basic Agent Usage
 
 ```python
-from tweet_optimizer_agent import TweetOptimizerAgent, TweetOptimizerConfig
+from agent.index import TweetOptimizerAgent, TweetOptimizerConfig
 
 # Create agent with default settings
 config = TweetOptimizerConfig()
@@ -84,12 +84,6 @@ print(f"Score: {results['best_score']:.2f}")
 print(f"Iterations: {results['iterations_run']}")
 ```
 
-### Full Optimization Process
-
-```python
-
-```
-
 ### Custom Configuration
 
 ```python
@@ -124,13 +118,13 @@ agent.push_to_hub(
 
 #### TweetOptimizerConfig
 
-| Parameter        | Type      | Default                                | Description                                 |
-|------------------|-----------|----------------------------------------|---------------------------------------------|
-| `lm`             | str       | `"openrouter/google/gemini-2.5-flash"` | Language model to use                       |
-| `eval_lm`        | str       | `"openrouter/openai/gpt-5"`            | Evaluator language model to use             |
-| `categories`     | List[str] | Default evaluation categories          | Custom evaluation criteria                  |
-| `max_iterations` | int       | 10                                     | Maximum optimization iterations             |
-| `patience`       | int       | 5                                      | Stop after N iterations without improvement |
+|Parameter       |Type       |Default                                 |Description                                  |
+|----------------|-----------|----------------------------------------|---------------------------------------------|
+| lm             | str       | `"openrouter/google/gemini-2.5-flash"` | Language model to use                       |
+| eval_lm        | str       | `"openrouter/openai/gpt-5"`            | Evaluator language model to use             |
+| categories     | List[str] | Default evaluation categories          | Custom evaluation criteria                  |
+| max_iterations | int       | 10                                     | Maximum optimization iterations             |
+| patience       | int       | 5                                      | Stop after N iterations without improvement |
 
 ### Default Categories