diff --git a/README.md b/README.md
index a6edc19b..c41fe78b 100644
--- a/README.md
+++ b/README.md
@@ -50,7 +50,7 @@ project.put("my string", "Hello world!")
 project.put("my string", "Hello again!")
 
 # list all the keys in a project
-print(project.list_keys())
+print(project.list_item_keys())
 
 # delete an item
 project.delete_item("my int")
diff --git a/examples/basic_usage.ipynb b/examples/basic_usage.ipynb
index 122a2313..5e0c9153 100644
--- a/examples/basic_usage.ipynb
+++ b/examples/basic_usage.ipynb
@@ -35,7 +35,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "3",
    "metadata": {},
    "outputs": [],
@@ -122,7 +122,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "id": "9",
    "metadata": {},
    "outputs": [],
@@ -160,7 +160,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "id": "13",
    "metadata": {},
    "outputs": [],
@@ -196,7 +196,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "id": "17",
    "metadata": {},
    "outputs": [],
@@ -206,7 +206,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "id": "18",
    "metadata": {},
    "outputs": [],
diff --git a/examples/basic_usage.py b/examples/basic_usage.py
index d6b5064d..964997fc 100644
--- a/examples/basic_usage.py
+++ b/examples/basic_usage.py
@@ -21,12 +21,12 @@
 #
 # The purpose of this guide is to illustrate some of the main features that `skore` currently provides.
 #
-# `skore` allows data scientists to create tracking and reports from their Python code:
+# `skore` allows data scientists to create tracking and visualizations from their Python code:
 # 1. Users can store objects of different types (python lists and dictionaries, `numpy` arrays, `scikit-learn` fitted models, `matplotlib`, `altair`, and `plotly` figures, etc). Storing some values over time allows one to perform **tracking** and also to **visualize** them:
 # 2. They can visualize these stored objects on a dashboard. The dashboard is user-friendly: objects can easily be organized.
 # 3. This dashboard can be exported into a HTML file.
 #
-# This notebook will store some items that have been used to generated a skore report available at [this link](https://gist.github.com/augustebaum/6b21dbd7f7d5a584fbf2c1956692574e): download this HTML file and open it in your browser to visualize it.
+# This notebook will store some items that have been used to generated a skore report available at [this link](https://sylvaincom.github.io/files/probabl/skore/basic_usage.html): download this HTML file and open it in your browser to visualize it.
 
 # %% [markdown]
 # ## Imports