diff --git a/autofit/non_linear/abstract.py b/autofit/non_linear/abstract.py
index 44dd5637e..7e5d85e23 100644
--- a/autofit/non_linear/abstract.py
+++ b/autofit/non_linear/abstract.py
@@ -1,19 +1,19 @@
 import configparser
-from abc import ABC, abstractmethod
 import logging
-import pickle
-import numpy as np
 import multiprocessing as mp
+import pickle
+from abc import ABC, abstractmethod
 from time import sleep
 from typing import Dict
-from copy import copy
+
+import numpy as np
 
 from autoconf import conf
 from autofit.mapper import model_mapper as mm
 from autofit.non_linear.paths import Paths, convert_paths
 from autofit.text import formatter
-from autofit.text import samples_text
 from autofit.text import model_text
+from autofit.text import samples_text
 
 logging.basicConfig()
 logger = logging.getLogger(__name__)  # TODO: Logging issue
@@ -67,7 +67,7 @@ def __init__(
             paths.non_linear_name = self.config("tag", "name", str)
 
         if paths.non_linear_tag is "":
-            paths.non_linear_tag = self.tag
+            paths.non_linear_tag_function = lambda: self.tag
 
         log_file = conf.instance.general.get("output", "log_file", str).replace(" ", "")
         self.paths = paths
@@ -452,7 +452,7 @@ def initial_points_from_model(self, number_of_points, model):
             An object that represents possible instances of some model with a given dimensionality which is the number
             of free dimensions of the model.
         """
-        
+
         init_pos = np.zeros(shape=(number_of_points, model.prior_count))
 
         if self.initialize_method in "ball":
@@ -514,7 +514,6 @@ def make_pool(self):
 class Analysis:
 
     def __init__(self, log_likelihood_cap=None):
-
         self.log_likelihood_cap = log_likelihood_cap
 
     def log_likelihood_function(self, instance):
@@ -630,8 +629,9 @@ def init(queue):
     global idx
     idx = queue.get()
 
+
 def f(x):
     global idx
     process = mp.current_process()
     sleep(1)
-    return (idx, process.pid, x * x)
\ No newline at end of file
+    return (idx, process.pid, x * x)
diff --git a/autofit/non_linear/paths.py b/autofit/non_linear/paths.py
index 0cb255b35..a0a261daf 100644
--- a/autofit/non_linear/paths.py
+++ b/autofit/non_linear/paths.py
@@ -52,12 +52,16 @@ def wrapper(self, *args, **kwargs):
 
             non_linear_instance = kwargs["non_linear_class"]()
             non_linear_name = non_linear_instance.config("tag", "name", str)
-            non_linear_tag = non_linear_instance.tag
+
+            def non_linear_tag_function():
+                return non_linear_instance.tag
 
         else:
 
             non_linear_name = None
-            non_linear_tag = None
+
+            def non_linear_tag_function():
+                return ""
 
         func(
             self,
@@ -67,7 +71,7 @@ def wrapper(self, *args, **kwargs):
                 folders=kwargs.pop("phase_folders", tuple()),
                 path_prefix=kwargs.pop("phase_path", None),
                 non_linear_name=non_linear_name,
-                non_linear_tag=non_linear_tag,
+                non_linear_tag_function=non_linear_tag_function,
                 remove_files=remove_files,
             ),
             **kwargs,
@@ -84,7 +88,7 @@ def __init__(
             folders=tuple(),
             path_prefix=None,
             non_linear_name=None,
-            non_linear_tag=None,
+            non_linear_tag_function=lambda: "",
             remove_files=False,
     ):
         """Manages the path structure for non-linear search output, for analyses both not using and using the phase
@@ -134,9 +138,27 @@ def __init__(
         self.name = name or ""
         self.tag = tag or ""
         self.non_linear_name = non_linear_name or ""
-        self.non_linear_tag = non_linear_tag or ""
+        self.non_linear_tag_function = non_linear_tag_function
         self.remove_files = remove_files
 
+    def __getstate__(self):
+        state = self.__dict__.copy()
+        state["non_linear_tag"] = state.pop("non_linear_tag_function")()
+        return state
+
+    def __setstate__(self, state):
+        non_linear_tag = state.pop(
+            "non_linear_tag"
+        )
+        self.non_linear_tag_function = lambda: non_linear_tag
+        self.__dict__.update(
+            state
+        )
+
+    @property
+    def non_linear_tag(self):
+        return self.non_linear_tag_function()
+
     @property
     def path(self):
         return link.make_linked_folder(self.sym_path)
@@ -212,6 +234,7 @@ def name_folder(self):
         return "/".join((conf.instance.output_path, self.path_prefix, self.name))
 
     @property
+    @make_path
     def sym_path(self) -> str:
         return "{}/{}/{}/{}/{}/samples".format(
             conf.instance.output_path, self.path_prefix, self.name, self.tag, self.non_linear_tag
diff --git a/test_autofit/unit/tools/test_paths.py b/test_autofit/unit/tools/test_paths.py
index 877934312..f6bfaedb9 100644
--- a/test_autofit/unit/tools/test_paths.py
+++ b/test_autofit/unit/tools/test_paths.py
@@ -8,6 +8,15 @@
 directory = path.dirname(path.realpath(__file__))
 
 
+def test_dynamic(phase):
+    paths = phase.paths
+    non_linear_tag = paths.non_linear_tag
+
+    phase.search.nwalkers += 1
+
+    assert paths.non_linear_tag != non_linear_tag
+
+
 class PatchPaths(af.Paths):
     @property
     def path(self):
@@ -34,7 +43,6 @@ def make_paths():
 
 
 def test_backup_zip_remove(paths):
-
     os.mkdir(paths.sym_path)
     os.mkdir(paths.path)