diff --git a/python/src/docstrings.hpp b/python/src/docstrings.hpp
index 6b3a1dc78..79b864f8b 100644
--- a/python/src/docstrings.hpp
+++ b/python/src/docstrings.hpp
@@ -119,7 +119,7 @@ integrate with the vulkan kompute use.
 @param device Vulkan logical device to use for all base resources
 @param physicalDeviceIndex Index for vulkan physical device used)doc";
 
-static const char *__doc_kp_Manager_buildTensor =
+static const char *__doc_kp_Manager_tensor =
 R"doc(Function that simplifies the common workflow of tensor creation and
 initialization. It will take the constructor parameters for a Tensor
 and will will us it to create a new Tensor and then create it using
@@ -133,15 +133,6 @@ static const char *__doc_kp_Manager_createDevice = R"doc()doc";
 
 static const char *__doc_kp_Manager_createInstance = R"doc()doc";
 
-static const char *__doc_kp_Manager_createManagedSequence =
-R"doc(Create a new managed Kompute sequence so it's available within the
-manager.
-
-@param sequenceName The name for the named sequence to be created, if
-empty then default indexed value is used @param queueIndex The queue
-to use from the available queues @return Weak pointer to the manager
-owned sequence resource)doc";
-
 static const char *__doc_kp_Manager_evalOp =
 R"doc(Function that evaluates operation against named sequence.
 
@@ -187,7 +178,7 @@ R"doc(Function that evaluates operation against a newly created sequence.
 TArgs Template parameters that will be used to initialise Operation to
 allow for extensible configurations on initialisation)doc";
 
-static const char *__doc_kp_Manager_getOrCreateManagedSequence =
+static const char *__doc_kp_Manager_sequence =
 R"doc(Get or create a managed Sequence that will be contained by this
 manager. If the named sequence does not currently exist, it would be
 created and initialised.
diff --git a/python/src/main.cpp b/python/src/main.cpp
index 74f010f0a..889084c7e 100644
--- a/python/src/main.cpp
+++ b/python/src/main.cpp
@@ -155,14 +155,16 @@ PYBIND11_MODULE(kp, m) {
             [](uint32_t physicalDeviceIndex, const std::vector<uint32_t>& familyQueueIndices) {
                 return std::unique_ptr<kp::Manager>(new kp::Manager(physicalDeviceIndex, familyQueueIndices));
             }), "Manager initialiser can provide specified device and array of GPU queueFamilies to load.")
-        .def("get_create_sequence", &kp::Manager::getOrCreateManagedSequence, "Get a Sequence or create a new one with given name")
-        .def("create_sequence", &kp::Manager::createManagedSequence,
-                py::arg("name") = "", py::arg("queueIndex") = 0, "Create a sequence with specific name and specified index of available queues")
-        .def("build_tensor", &kp::Manager::buildTensor, 
+        .def("sequence", &kp::Manager::sequence,
+                py::arg("name") = "", py::arg("queueIndex") = 0, "Get or create a sequence with specific name and specified index of available queues")
+        .def("tensor", &kp::Manager::tensor, 
                 py::arg("data"), py::arg("tensorType") = kp::Tensor::TensorTypes::eDevice, py::arg("syncDataToGPU") = true,
                 "Build and initialise tensor")
-        .def("rebuild_tensors", &kp::Manager::rebuildTensors, 
+        .def("rebuild", py::overload_cast<std::vector<std::shared_ptr<kp::Tensor>>, bool>(&kp::Manager::rebuild),
                 py::arg("tensors"), py::arg("syncDataToGPU") = true,
+                "Build and initialise list of tensors")
+        .def("rebuild", py::overload_cast<std::shared_ptr<kp::Tensor>, bool>(&kp::Manager::rebuild),
+                py::arg("tensor"), py::arg("syncDataToGPU") = true,
                 "Build and initialise tensor")
         
         // Await functions