diff --git a/src/aiida_workgraph/collection.py b/src/aiida_workgraph/collection.py
index e73dbf59..6ed8454b 100644
--- a/src/aiida_workgraph/collection.py
+++ b/src/aiida_workgraph/collection.py
@@ -1,8 +1,10 @@
+from typing import Any, Callable, Optional, Union
+
+from aiida.engine import ProcessBuilder
 from node_graph.collection import (
     NodeCollection,
     PropertyCollection,
 )
-from typing import Any, Callable, Optional, Union
 
 
 class TaskCollection(NodeCollection):
@@ -14,14 +16,13 @@ def _new(
         **kwargs: Any
     ) -> Any:
         from aiida_workgraph.decorator import (
-            build_task_from_callable,
             build_pythonjob_task,
             build_shelljob_task,
+            build_task_from_callable,
             build_task_from_workgraph,
         )
         from aiida_workgraph.workgraph import WorkGraph
 
-        # build the task on the fly if the identifier is a callable
         if callable(identifier):
             identifier = build_task_from_callable(identifier)
         if isinstance(identifier, str) and identifier.upper() == "PYTHONJOB":
@@ -41,6 +42,10 @@ def _new(
             return task
         if isinstance(identifier, WorkGraph):
             identifier = build_task_from_workgraph(identifier)
+        if isinstance(identifier, ProcessBuilder):
+            from aiida_workgraph.utils import get_dict_from_builder
+            kwargs = {**kwargs, **get_dict_from_builder(identifier)}
+            identifier = build_task_from_callable(identifier.process_class)
         return super()._new(identifier, name, uuid, **kwargs)
 
 
@@ -58,3 +63,17 @@ def _new(
             identifier = build_property_from_AiiDA(identifier)
         # Call the original new method
         return super()._new(identifier, name, **kwargs)
+
+
+# Backup
+        # print(identifier, type(identifier))
+        # name = name or ''
+        # breakpoint()
+        # return super()._new(, name, **builder_dict)
+        #     print("ProcessBuilder passed")
+        #     task = build_task_from_builder(identifier)
+        #     return task
+        # print(f"identifier: {identifier} ({type(identifier)})")
+        # print(f"name: {name}")
+        # print(f"uuid: {uuid}")
+        # print(f"kwargs: {kwargs}")
\ No newline at end of file
diff --git a/src/aiida_workgraph/decorator.py b/src/aiida_workgraph/decorator.py
index 263d4445..fc2ef7b6 100644
--- a/src/aiida_workgraph/decorator.py
+++ b/src/aiida_workgraph/decorator.py
@@ -2,9 +2,9 @@
 
 from typing import Any, Callable, Dict, List, Optional, Union, Tuple
 from aiida_workgraph.utils import get_executor
-from aiida.engine import calcfunction, workfunction, CalcJob, WorkChain
+from aiida.engine import calcfunction, workfunction, CalcJob, WorkChain, ProcessBuilder
 from aiida_workgraph.task import Task
-from aiida_workgraph.utils import build_callable, validate_task_inout
+from aiida_workgraph.utils import build_callable, validate_task_inout, get_dict_from_builder
 import inspect
 from aiida_workgraph.config import builtin_inputs, builtin_outputs, task_types
 from aiida_workgraph.orm.mapping import type_mapping
@@ -608,3 +608,109 @@ def __call__(self, *args, **kwargs):
 
 
 task = TaskDecoratorCollection()
+
+# Backup
+# def build_task_from_builder(
+#     builder: ProcessBuilder,
+#     # tdata: Dict[str, Any],
+#     inputs: Optional[List[str]] = None,
+#     outputs: Optional[List[str]] = None,
+#     ) -> Task:
+#     # ) -> Tuple[Task, Dict[str, Any]]:
+
+#     """Build task from an aiida-core ProcessBuilder."""
+#     from aiida.orm.utils.serialize import serialize
+#     from aiida_workgraph.utils.inspect_aiida_components import (
+#         get_task_data_from_aiida_component,
+#     )
+#     from aiida.engine.utils import instantiate_process
+#     from aiida.manage import get_manager
+#     from aiida.plugins import CalculationFactory
+
+#     process_class = builder.process_class
+#     builder_inputs = builder._inputs()
+#     # metadata = builder_inputs.pop('metadata')
+#     # monitors = builder_inputs.pop('monitors')
+#     # code = builder_inputs.pop('code')
+
+#     # process_node = process_class(**builder_inputs)
+
+
+#     # def build_task_from_callable(
+#     #     executor: Callable,
+#     #     inputs: Optional[List[str | dict]] = None,
+#     #     outputs: Optional[List[str | dict]] = None,
+#     # inputs = inputs or {}
+#     # breakpoint()
+#     task = build_task_from_callable(
+#         executor=process_class,
+#         inputs=inputs,
+#         outputs=outputs,
+#     )
+#     print(f"EXECUTOR: {process_class}")
+#     print(f"INPUTS: {inputs}")
+#     print(f"OUTPUTS: {outputs}")
+#     print(f"TASK: {task}")
+
+#     # manager = get_manager()
+#     # runner = manager.get_runner()
+#     # breakpoint()
+
+#     # process_class = CalculationFactory(entry_point_name)
+#     # process = instantiate_process(runner, process_class, **builder_inputs)
+#     # print(issubclass(process_class, CalcJob))
+#     # raise SystemExit
+#     # breakpoint()
+
+#     # tdata = {
+#     #     "metadata": {"task_type": "builder"},  # Or maybe use node_class, node_type
+#     #     "callable": process_class,
+#     # }
+#     # _, tdata = build_task_from_AiiDA(tdata)
+
+#     # breakpoint()
+#     # elif is_process_function(process):
+#     #     process_class = process.process_class  # type: ignore[attr-defined]
+#     # elif inspect.isclass(process) and issubclass(process, Process):
+#     #     process_class = process
+#     # else:
+#     #     raise ValueError(f'invalid process {type(process)}, needs to be Process or ProcessBuilder')
+
+#     # process = process_class(runner=runner, inputs=inputs)
+
+#     # tdata = {"metadata": {"task_type": ""}}
+#     # inputs = []
+#     # outputs = []
+#     # group_outputs = []
+
+#     # process_class = builder._process_class
+
+#     # builder_dict = get_dict_from_builder(builder)
+
+#     # tdata = get_task_data_from_aiida_component(
+#     #     tdata=tdata, inputs=inputs, outputs=outputs
+#     # )
+
+
+#     # task_decorated = build_task_from_callable(
+#     #     func_decorated,
+#     #     inputs=kwargs.get("inputs", []),
+#     #     outputs=kwargs.get("outputs", []),
+#     # )
+
+#     # executor = get_executor(self.get_executor())[0]
+#     # builder = executor.get_builder_from_protocol(*args, **kwargs)
+#     # TODO: Instantiate AiiDA object from the builder, and pass that, rather than having to manually construct the tdata
+#     # TODO: here again
+#     # data = get_dict_from_builder(builder)
+
+#     # # data.pop('identifier')
+#     # data = {**data, **tdata}
+
+#     # data['identifier'] = 'a'
+#     # # tdata["identifier"] = wg.name
+#     # task = Task.from_dict(data=data)
+#     return task
+            # print(f"TDATA: {tdata}")
+            # print(f"INPUTS: {inputs}")
+            # print(f"OUTPTUS: {outputs}")
\ No newline at end of file