diff --git a/README.md b/README.md
index c6ff01a..723fe1c 100644
--- a/README.md
+++ b/README.md
@@ -33,6 +33,8 @@ inflated_data = effect(trended_data)
 plot(inflated_data)
 ```
 
+![](https://raw.githubusercontent.com/amazon-science/causal-validation/main/static/readme_fig.png?token=GHSAT0AAAAAACTFBAFOPO3QHKOVJ26W4DU4ZWHSWFA)
+
 
 ## Examples
 
@@ -47,7 +49,7 @@ In this section we guide the user through the installation of this package. We d
 ### Prerequisites
 
 - Python 3.10 or higher
-- [Poetry](https://python-poetry.org/) (optional, but recommended)
+- [Hatch](https://hatch.pypa.io/latest/) (optional, but recommended)
 
 ### For Users
 
diff --git a/examples/basic.pct.py b/examples/basic.pct.py
index 60c5217..a7f566f 100644
--- a/examples/basic.pct.py
+++ b/examples/basic.pct.py
@@ -166,4 +166,4 @@
 # variation. In a follow-up notebook, we show how these datasets may be integrated with
 # Amazon's own AZCausal library to compare the effect estimated by a model with the true
 # effect of the underlying data generating process. A link to this notebook is
-# [here](PLACEHOLDER).
+# [here](https://github.com/amazon-science/causal-validation/blob/main/examples/azcausal.pct.py).