diff --git a/README.md b/README.md
index 55cdeb1..887d22f 100644
--- a/README.md
+++ b/README.md
@@ -47,6 +47,17 @@ Run the tests to verify everything is set up correctly:
 pytest
 ```
 
+## Examples
+
+Take a look at the `examples/` directory for runnable snippets. The
+`classification_example.py` script trains a small logistic regression
+model on the included Iris dataset and prints evaluation metrics via the
+`send_to_llm` helper:
+
+```bash
+python examples/classification_example.py
+```
+
 ## Bug Reports & Feature Requests
 
 Please open an issue on GitHub if you encounter a bug or have a feature request.
diff --git a/examples/classification_example.py b/examples/classification_example.py
new file mode 100644
index 0000000..1687f2d
--- /dev/null
+++ b/examples/classification_example.py
@@ -0,0 +1,23 @@
+import pandas as pd
+from sklearn.linear_model import LogisticRegression
+
+from faster_llm.ML.classification import Model
+
+
+def main() -> None:
+    """Train a simple classifier and send metrics to the LLM."""
+    df = pd.read_csv("../sample_data/iris.csv")
+    X = df.drop(columns=["variety"])
+    y = (df["variety"] == "Virginica").astype(int)
+
+    model = Model(
+        LogisticRegression(max_iter=200),
+        X,
+        y,
+        send_to_llm_flag=True,
+    )
+    print(model._compute_metrics())
+
+
+if __name__ == "__main__":
+    main()