diff --git a/docs/examples/tutorial/m_serve_example.py b/docs/examples/m_serve/m_serve_example_simple.py
similarity index 100%
rename from docs/examples/tutorial/m_serve_example.py
rename to docs/examples/m_serve/m_serve_example_simple.py
diff --git a/docs/examples/m_serve/pii_serve.py b/docs/examples/m_serve/pii_serve.py
new file mode 100644
index 00000000..09a40254
--- /dev/null
+++ b/docs/examples/m_serve/pii_serve.py
@@ -0,0 +1,87 @@
+"""PII Purifier using Mellea Framework."""
+
+import spacy
+
+from cli.serve.models import ChatMessage
+import mellea
+from mellea.backends.model_ids import IBM_GRANITE_4_MICRO_3B
+from mellea.stdlib.base import ModelOutputThunk
+from mellea.stdlib.requirement import req, simple_validate
+from mellea.stdlib.sampling import RejectionSamplingStrategy
+from mellea.stdlib.sampling.types import SamplingResult
+
+
+def has_potential_pii(text: str) -> bool:
+    """Quick heuristic check for potential PII patterns using spaCy NER."""
+    nlp = spacy.load("en_core_web_sm")
+    doc = nlp(text)
+
+    # Check for person names and locations
+    pii_entities = ["PERSON", "GPE", "LOC", "ORG"]
+    for ent in doc.ents:
+        if ent.label_ in pii_entities:
+            return True
+
+    # Additional simple checks for email/phone patterns
+    tokens = [token.text for token in doc]
+    for token in tokens:
+        # Email-like structure
+        if "@" in token and "." in token:
+            return True
+        # Phone-like (contains multiple digits)
+        if sum(c.isdigit() for c in token) >= 7:
+            return True
+
+    return False
+
+
+def pii_remove_validate(
+    m: mellea.MelleaSession,
+    text: str,
+    requirements: list[str] | None = None,
+    loop_budget: int = 3,
+    model_options: None | dict = None,
+) -> ModelOutputThunk | SamplingResult | str:
+    """PII scrubbing in mellea with validation."""
+    # Extra requirements if any.
+    requirements = requirements if requirements else []
+    result = m.instruct(
+        f"Remove all personally identifiable information from the following text "
+        f"and replace it with XXX:\n\n{text}",
+        requirements=[
+            req(
+                "Replace all names,email addresses, phone numbers, and addresses with XXX"
+            ),
+            req("Preserve non-PII content unchanged"),
+            req(
+                "Output must not contain PII",
+                validation_fn=simple_validate(
+                    lambda output: not has_potential_pii(output)
+                ),
+            ),
+            *requirements,
+        ],
+        strategy=RejectionSamplingStrategy(loop_budget=loop_budget),
+        return_sampling_results=True,
+        model_options=model_options,
+    )
+    if result.success:
+        return result
+    else:
+        return "The Validation Failed"
+
+
+session = mellea.start_session(model_id=IBM_GRANITE_4_MICRO_3B)
+
+
+def serve(
+    input: list[ChatMessage],
+    requirements: list[str] | None = None,
+    model_options: None | dict = None,
+) -> ModelOutputThunk | SamplingResult | str:
+    """Simple serve example to do PII stuff."""
+    message = input[-1].content
+    result = pii_remove_validate(
+        session, message, requirements=requirements, model_options=model_options
+    )
+    return result