diff --git a/src/model_experiential/__init__.py b/src/model_experiential/__init__.py
index 9a2791c..7842596 100644
--- a/src/model_experiential/__init__.py
+++ b/src/model_experiential/__init__.py
@@ -1,4 +1,4 @@
-from .classes import ExperientialModelOutput
+from .classes import VisualSyntaxModelOutput
 
 
 
diff --git a/src/model_experiential/classes.py b/src/model_experiential/classes.py
index 29f550e..cd8e9e0 100644
--- a/src/model_experiential/classes.py
+++ b/src/model_experiential/classes.py
@@ -1,8 +1,11 @@
-from pydantic import BaseModel
+from pydantic import BaseModel, ValidationError
 from typing import List
 import random
 
 
+class OptionNotSetException(Exception):
+    pass
+
 class ModelOutput(BaseModel):
 
     @classmethod
@@ -20,6 +23,18 @@ class ModelOutput(BaseModel):
         """Instantiate with random numbers."""
         kwargs = {field: random.random() for field in cls.list_fields()}
         return cls(**kwargs)
+    
+    @classmethod
+    def from_choice(cls, option: str):
+        """Instantiate from choice."""
+        if option is None:
+            raise ValidationError()
+        assert isinstance(option, str), "option is not a string"
+        allowed_options_list = cls.list_fields()
+        assert option in allowed_options_list, f"{option} is not among allowed fields {allowed_options_list}"
+        kwargs = {field: 0 for field in cls.list_fields()}
+        kwargs[option] = 1
+        return cls(**kwargs)
 
     def __repr__(self) -> str:
         model_dict = self.model_dump()
@@ -39,7 +54,7 @@ class ModelOutput(BaseModel):
         return max(model_dict.values())
 
 
-class ExperientialModelOutput(ModelOutput):
+class VisualSyntaxModelOutput(ModelOutput):
     non_transactional_action: float
     non_transactional_reaction: float
     unidirectional_transactional_action: float
@@ -61,7 +76,7 @@ class ExperientialModelOutput(ModelOutput):
 
 
 if __name__ == '__main__':
-    m = ExperientialModelOutput.from_random()
+    m = VisualSyntaxModelOutput.from_random()
     print(m)
     print(repr(m))
     print(m.highest_score_field())
diff --git a/src/model_interpersonal/classes.py b/src/model_interpersonal/classes.py
index d57717d..a702d1a 100644
--- a/src/model_interpersonal/classes.py
+++ b/src/model_interpersonal/classes.py
@@ -1,4 +1,4 @@
-from pydantic import BaseModel
+from pydantic import BaseModel, ValidationError
 from typing import List
 import random
 
@@ -20,6 +20,18 @@ class ModelOutput(BaseModel):
         """Instantiate with random numbers."""
         kwargs = {field: random.random() for field in cls.list_fields()}
         return cls(**kwargs)
+    
+    @classmethod
+    def from_choice(cls, option: str):
+        """Instantiate from choice."""
+        if option is None:
+            raise ValidationError()
+        assert isinstance(option, str)
+        allowed_options_list = cls.list_fields()
+        assert option in allowed_options_list, f"{option} is not among allowed fields {allowed_options_list}"
+        kwargs = {field: 0 for field in cls.list_fields()}
+        kwargs[option] = 1
+        return cls(**kwargs)
 
     def __repr__(self) -> str:
         model_dict = self.model_dump()
diff --git a/src/model_textual/classes.py b/src/model_textual/classes.py
index a9bc4d1..bab0672 100644
--- a/src/model_textual/classes.py
+++ b/src/model_textual/classes.py
@@ -1,4 +1,4 @@
-from pydantic import BaseModel
+from pydantic import BaseModel, ValidationError
 from typing import List
 import random
 
@@ -20,6 +20,18 @@ class ModelOutput(BaseModel):
         """Instantiate with random numbers."""
         kwargs = {field: random.random() for field in cls.list_fields()}
         return cls(**kwargs)
+    
+    @classmethod
+    def from_choice(cls, option: str):
+        """Instantiate from choice."""
+        if option is None:
+            raise ValidationError()
+        assert isinstance(option, str)
+        allowed_options_list = cls.list_fields()
+        assert option in allowed_options_list, f"{option} is not among allowed fields {allowed_options_list}"
+        kwargs = {field: 0 for field in cls.list_fields()}
+        kwargs[option] = 1
+        return cls(**kwargs)
 
     def __repr__(self) -> str:
         model_dict = self.model_dump()