add quick example

Author: Dylan Huang

README.md

@@ -5,6 +5,44 @@
 EP is an open protocol that standardizes how developers author evals for large
 language model (LLM) applications.
 
+## Quick Example
+
+Here's a simple test function that checks if a model's response contains **bold** text formatting:
+
+```python test_bold_format.py
+from eval_protocol.models import EvaluateResult, EvaluationRow
+from eval_protocol.pytest import default_single_turn_rollout_processor, evaluation_test
+
+@evaluation_test(
+    input_messages=[
+        [
+            Message(role="system", content="You are a helpful assistant. Use bold text to highlight important information."),
+            Message(role="user", content="Explain why **evaluations** matter for building AI agents. Make it dramatic!"),
+        ],
+    ],
+    model=["accounts/fireworks/models/llama-v3p1-8b-instruct"],
+    rollout_processor=default_single_turn_rollout_processor,
+    mode="pointwise",
+)
+def test_bold_format(row: EvaluationRow) -> EvaluationRow:
+    """
+    Simple evaluation that checks if the model's response contains bold text.
+    """
+    
+    assistant_response = row.messages[-1].content
+    
+    # Check if response contains **bold** text
+    has_bold = "**" in assistant_response
+    
+    if has_bold:
+        result = EvaluateResult(score=1.0, reason="✅ Response contains bold text")
+    else:
+        result = EvaluateResult(score=0.0, reason="❌ No bold text found")
+    
+    row.evaluation_result = result
+    return row
+```
+
 ## Documentation
 
 See our [documentation](https://evalprotocol.io) for more details.