diff --git a/start_here.ipynb b/start_here.ipynb
index 81ea3022..fbea5e70 100644
--- a/start_here.ipynb
+++ b/start_here.ipynb
@@ -594,10 +594,20 @@
         "this is a more advanced feature and it is recommended you first get to grips with the core API.\n",
         "\n",
         "\n",
-        "__Other:__\n",
+        "__Graphical Models__\n",
         "\n",
-        "- Automated pipelines / database tools.\n",
-        "- Graphical models."
+        "The examples above fit each galaxy dataset one-by-one. However, many galaxy properties are shared across a\n",
+        "sample (e.g. the population's distribution of Sersic indices or sizes), and fitting galaxies independently does\n",
+        "not exploit this shared structure.\n",
+        "\n",
+        "Graphical models fit multiple datasets simultaneously, explicitly defining which parameters are unique to each\n",
+        "galaxy and which are shared across the sample. Hierarchical extensions assume parameters are drawn from a parent\n",
+        "distribution, whose properties are inferred from the full sample, extracting significantly more information\n",
+        "than one-by-one fitting. This is a powerful tool for galaxy evolution studies of large samples, for example\n",
+        "measuring how the galaxy population's structural properties vary with mass or redshift.\n",
+        "\n",
+        "Checkout `autofit_workspace/*/features/graphical_models.py` to learn how to compose and fit a graphical model;\n",
+        "the API applies directly to the galaxy fits shown throughout this workspace."
       ]
     }
   ],
diff --git a/start_here.py b/start_here.py
index 3b5b136b..bb9ee633 100644
--- a/start_here.py
+++ b/start_here.py
@@ -479,8 +479,18 @@
 this is a more advanced feature and it is recommended you first get to grips with the core API.
 
 
-__Other:__
+__Graphical Models__
 
-- Automated pipelines / database tools.
-- Graphical models.
+The examples above fit each galaxy dataset one-by-one. However, many galaxy properties are shared across a
+sample (e.g. the population's distribution of Sersic indices or sizes), and fitting galaxies independently does
+not exploit this shared structure.
+
+Graphical models fit multiple datasets simultaneously, explicitly defining which parameters are unique to each
+galaxy and which are shared across the sample. Hierarchical extensions assume parameters are drawn from a parent
+distribution, whose properties are inferred from the full sample, extracting significantly more information
+than one-by-one fitting. This is a powerful tool for galaxy evolution studies of large samples, for example
+measuring how the galaxy population's structural properties vary with mass or redshift.
+
+Checkout `autofit_workspace/*/features/graphical_models.py` to learn how to compose and fit a graphical model;
+the API applies directly to the galaxy fits shown throughout this workspace.
 """