diff --git a/examples/poc_registry.py b/examples/poc_registry.py
new file mode 100644
index 000000000..61e9be0b4
--- /dev/null
+++ b/examples/poc_registry.py
@@ -0,0 +1,55 @@
+import abc
+from typing import Dict, Type, Any
+
+# 1. The Registry: Now with Type Hinting as requested by review
+BACKEND_REGISTRY: Dict[str, Type['BaseBackend']] = {}
+
+def register_backend(name: str):
+    """Decorator to register new backends dynamically with validation."""
+    def wrapper(cls: Type[Any]):
+        # Validation: Ensure we don't overwrite existing backends
+        if name in BACKEND_REGISTRY:
+            raise ValueError(f"Backend '{name}' is already registered.")
+        
+        # Validation: Ensure the class inherits from BaseBackend
+        if not issubclass(cls, BaseBackend):
+            raise TypeError(f"Class {cls.__name__} must inherit from BaseBackend")
+            
+        BACKEND_REGISTRY[name] = cls
+        return cls
+    return wrapper
+
+# 2. The Base Class template
+class BaseBackend(abc.ABC):
+    @abc.abstractmethod
+    def train(self) -> str:
+        pass
+
+# 3. Dynamic Implementation
+@register_backend("kubernetes")
+class KubernetesBackend(BaseBackend):
+    def train(self) -> str:
+        return "Training on Kubernetes Cluster..."
+
+@register_backend("local")
+class LocalBackend(BaseBackend):
+    def train(self) -> str:
+        return "Training on Local Process..."
+
+# 4. The Refactored Client
+class TrainerClient:
+    def __init__(self, backend_type: str):
+        backend_class = BACKEND_REGISTRY.get(backend_type)
+        if not backend_class:
+            raise ValueError(f"Backend '{backend_type}' not found in registry!")
+        self.backend = backend_class()
+
+    def train(self) -> str:
+        # Returning value instead of printing for better API design
+        return self.backend.train()
+
+# --- Test the Logic ---
+if __name__ == "__main__":
+    print("Available Backends:", list(BACKEND_REGISTRY.keys()))
+    client = TrainerClient("kubernetes")
+    print(f"Result: {client.train()}")
\ No newline at end of file