diff --git a/cookbook/choose_protocol.ipynb b/cookbook/choose_protocol.ipynb
index 152014a..0b8ddb4 100644
--- a/cookbook/choose_protocol.ipynb
+++ b/cookbook/choose_protocol.ipynb
@@ -1,10 +1,17 @@
 {
  "cells": [
+  {
+   "cell_type": "raw",
+   "id": "0765a7c9",
+   "metadata": {},
+   "source": [
+    ".. _cookbook_choose_config_protocol:"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "8efbded0-0b69-4392-b8df-7afbd817d733",
    "metadata": {
-    "editable": true,
     "slideshow": {
      "slide_type": ""
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@@ -35,7 +42,6 @@
    "execution_count": 1,
    "id": "38b41f0a-d2a3-4231-bf08-1504d3824978",
    "metadata": {
-    "editable": true,
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@@ -50,7 +56,6 @@
    "cell_type": "markdown",
    "id": "893b1b18-3682-435f-a08f-e08c0f2f8cef",
    "metadata": {
-    "editable": true,
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@@ -64,7 +69,6 @@
    "cell_type": "markdown",
    "id": "dd66b0da-7366-44d5-b02a-ba2a67581b55",
    "metadata": {
-    "editable": true,
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@@ -89,7 +93,6 @@
    "execution_count": 2,
    "id": "b0757f5f-e38f-43ac-b43f-ee2bbea95f0d",
    "metadata": {
-    "editable": true,
     "slideshow": {
      "slide_type": ""
     },
@@ -108,7 +111,6 @@
    "cell_type": "markdown",
    "id": "f9502961-84ce-4983-9c4f-9e07eb619d1f",
    "metadata": {
-    "editable": true,
     "slideshow": {
      "slide_type": ""
     },
@@ -130,7 +132,6 @@
    "cell_type": "markdown",
    "id": "03fa0695-7066-494a-9e9d-6f7d7f3953d5",
    "metadata": {
-    "editable": true,
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@@ -145,7 +146,6 @@
    "execution_count": 3,
    "id": "96c32ead-a8d0-4283-950b-5d27c74ebf16",
    "metadata": {
-    "editable": true,
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     },
@@ -160,7 +160,6 @@
    "cell_type": "markdown",
    "id": "b85b39a6-effd-423e-b8a5-b86bc2e7ee77",
    "metadata": {
-    "editable": true,
     "slideshow": {
      "slide_type": ""
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@@ -175,7 +174,6 @@
    "execution_count": 4,
    "id": "8d5a6281-50f9-4062-8fa4-375ce2df1bd6",
    "metadata": {
-    "editable": true,
     "slideshow": {
      "slide_type": ""
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@@ -250,7 +248,6 @@
    "cell_type": "markdown",
    "id": "b39aec57-d263-473e-a314-ce2e4519bef9",
    "metadata": {
-    "editable": true,
     "slideshow": {
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     },
@@ -265,7 +262,6 @@
    "execution_count": 5,
    "id": "2de6c6a9-bceb-4c9c-ae5a-3d88a72c801a",
    "metadata": {
-    "editable": true,
     "slideshow": {
      "slide_type": ""
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@@ -288,7 +284,6 @@
    "cell_type": "markdown",
    "id": "606b0be8-6d76-4a5f-b9b0-9b54967ca988",
    "metadata": {
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@@ -303,7 +298,6 @@
    "execution_count": 6,
    "id": "844e6fa5-f363-47fa-881d-00328faa601c",
    "metadata": {
-    "editable": true,
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@@ -406,7 +400,6 @@
    "execution_count": 7,
    "id": "b499d852-4d7e-47c5-9342-31017baed37c",
    "metadata": {
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     "nbsphinx": "hidden",
     "slideshow": {
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@@ -440,7 +433,6 @@
    "execution_count": 8,
    "id": "32b9b58a-d7ea-4071-9046-53e6990a1faa",
    "metadata": {
-    "editable": true,
     "slideshow": {
      "slide_type": ""
     },
@@ -476,7 +468,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.11.6"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
diff --git a/cookbook/create_alchemical_network.ipynb b/cookbook/create_alchemical_network.ipynb
index 2186f7b..02f21c3 100644
--- a/cookbook/create_alchemical_network.ipynb
+++ b/cookbook/create_alchemical_network.ipynb
@@ -1,5 +1,13 @@
 {
  "cells": [
+  {
+   "cell_type": "raw",
+   "id": "9fb7586c",
+   "metadata": {},
+   "source": [
+    ".. _cookbook_create_alchemicalnetwork:"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "b89fdb9a-24fe-4aeb-9390-a359dae6cc9b",
@@ -22,7 +30,6 @@
    "cell_type": "markdown",
    "id": "471531a1-a351-413b-b147-794f9af4e0f8",
    "metadata": {
-    "editable": true,
     "slideshow": {
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@@ -109,7 +116,6 @@
    "execution_count": 4,
    "id": "d3054cfc-5040-4882-b3a3-92aba7ab5d1d",
    "metadata": {
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@@ -265,7 +271,6 @@
    "execution_count": 8,
    "id": "c9baa54c-513a-486a-a06a-fd8fd5d19fa5",
    "metadata": {
-    "editable": true,
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@@ -284,7 +289,6 @@
    "cell_type": "markdown",
    "id": "b17669f6-a205-420d-96c3-1a9c92d0e13b",
    "metadata": {
-    "editable": true,
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@@ -298,7 +302,6 @@
    "cell_type": "markdown",
    "id": "682b45eb-4c79-4a68-b0a8-534544c0f0a7",
    "metadata": {
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@@ -315,7 +318,6 @@
    "execution_count": 9,
    "id": "2da4dafb-20d6-4ce7-ab83-4690528097d6",
    "metadata": {
-    "editable": true,
     "slideshow": {
      "slide_type": ""
     },
@@ -350,7 +352,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.11.6"
   },
   "widgets": {
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diff --git a/cookbook/generate_ligand_network.ipynb b/cookbook/generate_ligand_network.ipynb
index 8580a05..8c615ef 100644
--- a/cookbook/generate_ligand_network.ipynb
+++ b/cookbook/generate_ligand_network.ipynb
@@ -1,5 +1,13 @@
 {
  "cells": [
+  {
+   "cell_type": "raw",
+   "id": "c6a2c302",
+   "metadata": {},
+   "source": [
+    ".. _cookbook_planning_ligandnetwork:"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "035c0099-6892-4ed2-b0d6-80b1c247c1e7",
@@ -259,7 +267,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.6"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
diff --git a/cookbook/generate_lomap_network.ipynb b/cookbook/generate_lomap_network.ipynb
index 07183fe..cf3e586 100644
--- a/cookbook/generate_lomap_network.ipynb
+++ b/cookbook/generate_lomap_network.ipynb
@@ -1,5 +1,13 @@
 {
  "cells": [
+  {
+   "cell_type": "raw",
+   "id": "a41f6896",
+   "metadata": {},
+   "source": [
+    ".. _cookbook_ligandnetwork_lomap:"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "035c0099-6892-4ed2-b0d6-80b1c247c1e7",
diff --git a/cookbook/hand_write_ligand_network.ipynb b/cookbook/hand_write_ligand_network.ipynb
index 44eaaa5..e68a423 100644
--- a/cookbook/hand_write_ligand_network.ipynb
+++ b/cookbook/hand_write_ligand_network.ipynb
@@ -1,5 +1,13 @@
 {
  "cells": [
+  {
+   "cell_type": "raw",
+   "id": "554bc9f7",
+   "metadata": {},
+   "source": [
+    ".. _cookbook_ligandnetworks_by_hand:"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "bf739d70-3249-42b3-a352-8a41f8f8c667",
@@ -266,7 +274,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.11.6"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
diff --git a/cookbook/ligandnetwork_vis.ipynb b/cookbook/ligandnetwork_vis.ipynb
index f3e098f..57c0ac5 100644
--- a/cookbook/ligandnetwork_vis.ipynb
+++ b/cookbook/ligandnetwork_vis.ipynb
@@ -1,10 +1,17 @@
 {
  "cells": [
+  {
+   "cell_type": "raw",
+   "id": "68723119",
+   "metadata": {},
+   "source": [
+    ".. _cookbook_viz_ligandnetworks:"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "a2f0ee60-1060-4ca9-b0ff-529348dbc0e6",
    "metadata": {
-    "editable": true,
     "slideshow": {
      "slide_type": ""
     },
@@ -26,7 +33,6 @@
    "cell_type": "markdown",
    "id": "d4fe6c50-3971-4b9d-bc2f-71b5deb58fd4",
    "metadata": {
-    "editable": true,
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@@ -41,7 +47,6 @@
    "execution_count": 1,
    "id": "aa30a8bc-bdf0-4382-98bd-2f33e703eb2d",
    "metadata": {
-    "editable": true,
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@@ -71,7 +76,6 @@
    "execution_count": 2,
    "id": "594364f7-00ab-4497-bf5e-74cb497802e7",
    "metadata": {
-    "editable": true,
     "slideshow": {
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     },
@@ -430,7 +434,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.11.6"
   },
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diff --git a/cookbook/loading_molecules.ipynb b/cookbook/loading_molecules.ipynb
index 045117c..9652244 100644
--- a/cookbook/loading_molecules.ipynb
+++ b/cookbook/loading_molecules.ipynb
@@ -4,7 +4,6 @@
    "cell_type": "raw",
    "id": "4d9beae7-b6bd-4743-9614-42450df0697d",
    "metadata": {
-    "editable": true,
     "raw_mimetype": "text/restructuredtext",
     "slideshow": {
      "slide_type": ""
@@ -22,7 +21,6 @@
    "cell_type": "markdown",
    "id": "088a1bc4-e5f3-47ac-8ebf-1a904fa82f80",
    "metadata": {
-    "editable": true,
     "nbsphinx": "hidden",
     "slideshow": {
      "slide_type": ""
@@ -37,7 +35,6 @@
    "cell_type": "raw",
    "id": "acb1ed05-1874-4dd3-a41d-e18623bece44",
    "metadata": {
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@@ -53,7 +50,6 @@
    "cell_type": "markdown",
    "id": "00d9ca69-1b38-4cf8-9c93-1fc4c08dae15",
    "metadata": {
-    "editable": true,
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@@ -68,7 +64,6 @@
    "cell_type": "markdown",
    "id": "8bc61b88-0c8d-4b89-b704-8ac4ade19c6c",
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@@ -94,7 +89,6 @@
    "cell_type": "raw",
    "id": "d7277536-be61-4d45-b09f-1a7b355bee82",
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@@ -112,7 +106,6 @@
    "cell_type": "markdown",
    "id": "d2658885-8ad9-4142-b163-17c8aa576b00",
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@@ -127,7 +120,6 @@
    "cell_type": "markdown",
    "id": "15115699-8bdb-4261-9afd-18ebd55bd06a",
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@@ -142,7 +134,6 @@
    "execution_count": 1,
    "id": "1436cd71-2a65-4cef-9f9f-73013c791a17",
    "metadata": {
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@@ -163,7 +154,6 @@
    "cell_type": "markdown",
    "id": "8c78efe2-5a0d-4aac-afd1-3e6c5b7a1efc",
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@@ -179,7 +169,6 @@
    "cell_type": "markdown",
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    "metadata": {
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@@ -195,7 +184,6 @@
    "execution_count": 2,
    "id": "7f7e56c9-2bee-46a1-9ccf-7003b4886249",
    "metadata": {
-    "editable": true,
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@@ -213,7 +201,6 @@
    "cell_type": "markdown",
    "id": "2dbd57c0-87ee-426a-b0ac-1861480a0d34",
    "metadata": {
-    "editable": true,
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@@ -233,7 +220,6 @@
    "execution_count": 3,
    "id": "85704a16-86b6-4c25-9a4d-050fd215a2ef",
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@@ -257,7 +243,6 @@
    "cell_type": "raw",
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@@ -275,7 +260,6 @@
    "cell_type": "markdown",
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@@ -290,7 +274,6 @@
    "cell_type": "markdown",
    "id": "13839df1-fa2c-4e0a-8322-56ce466aea37",
    "metadata": {
-    "editable": true,
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@@ -307,7 +290,6 @@
    "execution_count": 4,
    "id": "669ea0d6-3f49-4e91-b992-95f1bd5e7174",
    "metadata": {
-    "editable": true,
     "raw_mimetype": "text/restructuredtext",
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@@ -325,7 +307,6 @@
    "cell_type": "raw",
    "id": "f0e245cc-8763-48da-8908-1ab28e6b84d9",
    "metadata": {
-    "editable": true,
     "raw_mimetype": "text/restructuredtext",
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@@ -343,7 +324,6 @@
    "cell_type": "markdown",
    "id": "21ebdadc-1bf6-4ad2-827e-b6b7dc19572a",
    "metadata": {
-    "editable": true,
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@@ -358,7 +338,6 @@
    "cell_type": "markdown",
    "id": "40e3a23f-cc13-402e-8197-9552fbb387e7",
    "metadata": {
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@@ -375,7 +354,6 @@
    "execution_count": 5,
    "id": "e6c35e81-d0c9-4680-bb35-e7ae2b3fd2da",
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@@ -394,7 +372,6 @@
    "cell_type": "raw",
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@@ -412,7 +389,6 @@
    "cell_type": "markdown",
    "id": "1e388bd2-f1b3-4a90-970e-72b652f6227b",
    "metadata": {
-    "editable": true,
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     "raw_mimetype": "",
     "slideshow": {
@@ -428,7 +404,6 @@
    "cell_type": "markdown",
    "id": "10655021-f3f0-4b21-9d8b-fc5a885555e4",
    "metadata": {
-    "editable": true,
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      "slide_type": ""
     },
@@ -447,7 +422,6 @@
    "execution_count": 6,
    "id": "bf52b73e-5705-48e7-b69a-fb63748588d8",
    "metadata": {
-    "editable": true,
     "raw_mimetype": "text/restructuredtext",
     "slideshow": {
      "slide_type": ""
@@ -491,7 +465,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.11.6"
   },
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diff --git a/cookbook/network_from_orion_fepp.ipynb b/cookbook/network_from_orion_fepp.ipynb
index 75744df..cf66146 100644
--- a/cookbook/network_from_orion_fepp.ipynb
+++ b/cookbook/network_from_orion_fepp.ipynb
@@ -1,5 +1,13 @@
 {
  "cells": [
+  {
+   "cell_type": "raw",
+   "id": "0508cde5",
+   "metadata": {},
+   "source": [
+    ".. _cookbook_network_from_orion_fepp:"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "4197d26d-c9e2-47ca-8d19-8372568371d8",
@@ -202,7 +210,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.11.6"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
diff --git a/cookbook/rfe_alchemical_planners.ipynb b/cookbook/rfe_alchemical_planners.ipynb
new file mode 100644
index 0000000..5c5c4ca
--- /dev/null
+++ b/cookbook/rfe_alchemical_planners.ipynb
@@ -0,0 +1,260 @@
+{
+ "cells": [
+  {
+   "cell_type": "raw",
+   "id": "6cf8c16b",
+   "metadata": {},
+   "source": [
+    ".. _cookbook_rfe_network_planners:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b89fdb9a-24fe-4aeb-9390-a359dae6cc9b",
+   "metadata": {},
+   "source": [
+    "# Relative Free Energy Alchemical Network Planners"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2b11a786-0fab-4990-a2aa-242067f89287",
+   "metadata": {},
+   "source": [
+    "To simplify the process of creating an [Alchemical Network] for Relative Free Energy calculations, openfe offers two convenience `Alchemical Network Planner` classes; [RBFEAlchemicalNetworkPlanner] and [RHFEAlchemicalNetworkPlanner].\n",
+    "\n",
+    "[Alchemical Network]: https://docs.openfree.energy/en/stable/reference/api/generated/openfe.AlchemicalNetwork.html\n",
+    "[RBFEAlchemicalNetworkPlanner]: https://docs.openfree.energy/en/stable/reference/api/generated/openfe.setup.RBFEAlchemicalNetworkPlanner.html#openfe.setup.RBFEAlchemicalNetworkPlanner\n",
+    "[RHFEAlchemicalNetworkPlanner]: https://docs.openfree.energy/en/stable/reference/api/generated/openfe.setup.RHFEAlchemicalNetworkPlanner.html#openfe.setup.RHFEAlchemicalNetworkPlanner "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8d449f31",
+   "metadata": {},
+   "source": [
+    "## Overview\n",
+    "\n",
+    "To create an `AlchemicalNetwork` using the Alchemical Planners, the following steps must be followed:\n",
+    "\n",
+    "1. Create appropriate `ChemicalComponents`\n",
+    "2. Choosing an appropriate atom mapper, scorer, and network generator\n",
+    "3. Create an `Alchemical Planner`\n",
+    "4. Create the `AlchemicalNetwork`"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "471531a1-a351-413b-b147-794f9af4e0f8",
+   "metadata": {
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "source": [
+    "## Relative Binding Free Energy (RBFE)\n",
+    "\n",
+    "Here we demonstrate how to use the [RBFEAlchemicalNetworkPlanner] to create an RBFE [AlchemicalNetwork]\n",
+    "\n",
+    "[AlchemicalNetwork]: https://docs.openfree.energy/en/stable/reference/api/generated/openfe.AlchemicalNetwork.html\n",
+    "[RBFEAlchemicalNetworkPlanner]: https://docs.openfree.energy/en/stable/reference/api/generated/openfe.setup.RBFEAlchemicalNetworkPlanner.html#openfe.setup.RBFEAlchemicalNetworkPlanner"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1b9f171b",
+   "metadata": {},
+   "source": [
+    "### Creating `ChemicalComponents`\n",
+    "\n",
+    "First we define the `ChemicalComponents` which we want to represent in our `AlchemicalNetwork`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "ba6d0d2f-03df-463f-8976-c15a2bdf65e5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from rdkit import Chem\n",
+    "from openfe import SmallMoleculeComponent, SolventComponent, ProteinComponent"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "ceeff0fb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Some SmallMoleculeComponents defining the ligands we want to transform between\n",
+    "ligands = [\n",
+    "    SmallMoleculeComponent(m)\n",
+    "    for m in Chem.SDMolSupplier(\"assets/somebenzenes.sdf\", removeHs=False)\n",
+    "]\n",
+    "\n",
+    "# The ProteinComponent which will be present in our complex simulations\n",
+    "protein = ProteinComponent.from_pdb_file(\"assets/t4_lysozyme.pdb\")\n",
+    "\n",
+    "# The SolventComponent defining our system's solvation\n",
+    "solvent = SolventComponent()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6bfee4c7-0aaf-49a6-b35a-bdbe99444bab",
+   "metadata": {},
+   "source": [
+    "### Choosing an atom mapper, scorer and network generator\n",
+    "\n",
+    "Here we choose to use the [KartografAtomMapper] alongside the [Lomap scorer].\n",
+    "\n",
+    "For our network we choose to create a minimum spanning network using [generate_minimal_spanning_network].\n",
+    "\n",
+    "[KartografAtomMapper]: https://kartograf.readthedocs.io/en/latest/api/kartograf.mappers.html\n",
+    "[Lomap scorer]: https://docs.openfree.energy/en/stable/reference/api/generated/openfe.setup.atom_mapping.lomap_scorers.default_lomap_score.html\n",
+    "[generate_minimal_spanning_network]: https://docs.openfree.energy/en/stable/reference/api/generated/openfe.setup.ligand_network_planning.generate_minimal_spanning_network.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "1284865e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from openfe.setup.atom_mapping import KartografAtomMapper\n",
+    "from openfe.setup.atom_mapping.lomap_scorers import default_lomap_score\n",
+    "from openfe.setup.ligand_network_planning import generate_minimal_spanning_network"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e96f95fb",
+   "metadata": {},
+   "source": [
+    "### Building the Network Planner and getting an AlchemicalNetwork\n",
+    "\n",
+    "Finally we can use the `RBFEAlchemicalNetworkPlanner` to create an `AlchemicalNetwork`.\n",
+    "\n",
+    "Internally the Network Planner will:\n",
+    "\n",
+    "1. Create a `LigandNetwork` (accessible under the `._ligand_network` attribute).\n",
+    "2. Create two `Transformation` per edge of the `LigandNetwork`, one for each of the complex and solvent legs of the RBFE alchemical cycle.\n",
+    "3. Add all `Transformation`s to a single `AlchemicalNetwork`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "4512c4d6-720f-4008-af53-a0b56b2ee1e9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from openfe.setup.alchemical_network_planner import RBFEAlchemicalNetworkPlanner\n",
+    "\n",
+    "# Build the planner\n",
+    "alchem_planner = RBFEAlchemicalNetworkPlanner(\n",
+    "    name=\"project\", \n",
+    "    mappers=[KartografAtomMapper()],\n",
+    "    mapping_scorer=default_lomap_score,\n",
+    "    ligand_network_planner=generate_minimal_spanning_network,\n",
+    ")\n",
+    "\n",
+    "# Create the AlchemicalNetwork\n",
+    "alchemical_network = alchem_planner(\n",
+    "    ligands=ligands,\n",
+    "    solvent=solvent,\n",
+    "    protein=protein\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "405fe819-b4a6-408b-8623-041492c84dfb",
+   "metadata": {},
+   "source": [
+    "## Relative Hydration Free Energy (RHFE)\n",
+    "\n",
+    "Similarly, an RHFE `AlchemicalNetwork` can be created using the [RHFEAlchemicalNetworkPlanner].\n",
+    "\n",
+    "[RHFEAlchemicalNetworkPlanner]: https://docs.openfree.energy/en/stable/reference/api/generated/openfe.setup.RHFEAlchemicalNetworkPlanner.html#openfe.setup.RHFEAlchemicalNetworkPlanner "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dc5f6bcb",
+   "metadata": {},
+   "source": [
+    "### Building the Network Planner and getting an AlchemicalNetwork\n",
+    "\n",
+    "Here we use the same ChemicalComponents, atom mapper, scorer, and network planner as used in the RBFE section above.\n",
+    "\n",
+    "The `RHFEAlchemicalNetworkPlanner` will:\n",
+    "\n",
+    "1. Create a new `LigandNetwork`.\n",
+    "2. Create two `Transformation` per `LigandNetwork` edge, one for the solvent and vacuum legs of the transformation, setting appropriate nonbonded methods and cutoffs for the periodic and nonperiodic simulations.\n",
+    "3. Combine all the `Transformation`s into an `AlchemicalNetwork`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "d3054cfc-5040-4882-b3a3-92aba7ab5d1d",
+   "metadata": {
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "from openfe.setup.alchemical_network_planner import RHFEAlchemicalNetworkPlanner\n",
+    "\n",
+    "# Build the planner\n",
+    "alchem_planner = RHFEAlchemicalNetworkPlanner(\n",
+    "    name=\"project\", \n",
+    "    mappers=[KartografAtomMapper()],\n",
+    "    mapping_scorer=default_lomap_score,\n",
+    "    ligand_network_planner=generate_minimal_spanning_network,\n",
+    ")\n",
+    "\n",
+    "# Create the AlchemicalNetwork\n",
+    "alchemical_network = alchem_planner(\n",
+    "    ligands=ligands,\n",
+    "    solvent=solvent,\n",
+    ")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.6"
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {},
+    "version_major": 2,
+    "version_minor": 0
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/cookbook/user_charges.ipynb b/cookbook/user_charges.ipynb
index cd470db..64ded3e 100644
--- a/cookbook/user_charges.ipynb
+++ b/cookbook/user_charges.ipynb
@@ -1,10 +1,17 @@
 {
  "cells": [
+  {
+   "cell_type": "raw",
+   "id": "9a5f5c39",
+   "metadata": {},
+   "source": [
+    ".. _cookbook_user_charges:"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "088a1bc4-e5f3-47ac-8ebf-1a904fa82f80",
    "metadata": {
-    "editable": true,
     "nbsphinx": "hidden",
     "slideshow": {
      "slide_type": ""
@@ -19,7 +26,6 @@
    "cell_type": "markdown",
    "id": "00d9ca69-1b38-4cf8-9c93-1fc4c08dae15",
    "metadata": {
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@@ -34,7 +40,6 @@
    "cell_type": "markdown",
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@@ -55,7 +60,6 @@
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@@ -70,7 +74,6 @@
    "cell_type": "markdown",
    "id": "15115699-8bdb-4261-9afd-18ebd55bd06a",
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@@ -85,7 +88,6 @@
    "execution_count": 1,
    "id": "1436cd71-2a65-4cef-9f9f-73013c791a17",
    "metadata": {
-    "editable": true,
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     "slideshow": {
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@@ -110,7 +112,6 @@
    "cell_type": "markdown",
    "id": "8c78efe2-5a0d-4aac-afd1-3e6c5b7a1efc",
    "metadata": {
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      "slide_type": ""
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@@ -134,7 +135,6 @@
    "cell_type": "markdown",
    "id": "b092b780-a2cb-4ece-9d77-c09f2e035b8f",
    "metadata": {
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     "slideshow": {
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@@ -150,7 +150,6 @@
    "execution_count": 2,
    "id": "7f7e56c9-2bee-46a1-9ccf-7003b4886249",
    "metadata": {
-    "editable": true,
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     "slideshow": {
      "slide_type": ""
@@ -169,7 +168,6 @@
    "cell_type": "markdown",
    "id": "2dbd57c0-87ee-426a-b0ac-1861480a0d34",
    "metadata": {
-    "editable": true,
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     "slideshow": {
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@@ -195,7 +193,6 @@
    "execution_count": 3,
    "id": "85704a16-86b6-4c25-9a4d-050fd215a2ef",
    "metadata": {
-    "editable": true,
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@@ -223,7 +220,6 @@
    "cell_type": "markdown",
    "id": "852c038e-d4dc-4fac-975c-d5e6baee719e",
    "metadata": {
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     "slideshow": {
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@@ -238,7 +234,6 @@
    "cell_type": "markdown",
    "id": "13839df1-fa2c-4e0a-8322-56ce466aea37",
    "metadata": {
-    "editable": true,
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@@ -253,7 +248,6 @@
    "execution_count": 4,
    "id": "669ea0d6-3f49-4e91-b992-95f1bd5e7174",
    "metadata": {
-    "editable": true,
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@@ -306,7 +300,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.11.6"
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