diff --git a/contributions/executable-tutorial/golman/README.md b/contributions/executable-tutorial/golman/README.md
index 252f4393ea..ae740eb932 100644
--- a/contributions/executable-tutorial/golman/README.md
+++ b/contributions/executable-tutorial/golman/README.md
@@ -28,3 +28,7 @@ I asked TA about this briefly in a lab session (not previous, but one before tha
 **Relevance**
 
 Jupyter Notebook/Lab is often used for processing, preparing, and visualizing data, as well as subsequently training machine learning models. The process of deriving a model is often an iterative process to determine suitable model architectures and optimal hyperparameters. Models may furthermore require continuous altering after deployment as more data becomes available or use cases change. This process is presumably often done manually, particularly as data scientists and conventional developers may be different teams, but there are clear benefits in automating the process.
+
+**Submission**
+
+[Github repository](https://github.com/kthfre/dd2482-executable-tutorial)
diff --git a/contributions/feedback/golman-cnra/README.md b/contributions/feedback/golman-cnra/README.md
new file mode 100644
index 0000000000..e1bd15ad5c
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+++ b/contributions/feedback/golman-cnra/README.md
@@ -0,0 +1,24 @@
+# Assignment Proposal
+
+## Title
+
+Feedback for the executable tutorial "Infrastructure as Code with Pulumi".
+
+## Names and KTH ID
+
+- Fredrik Gölman (golman@kth.se)
+- Chandni Narottambhai Rakhashiya (cnra@kth.se)
+
+## Deadline
+
+- Task 3
+
+## Category
+
+- Feedback
+
+## Description
+
+Feedback for [this executable tutorial](https://github.com/KTH/devops-course/tree/2024/contributions/executable-tutorial/mqnguyen) by mqnguyen@kth.se.
+
+I've received approval from the author to leave feedback on this assignment. Am I making the correct assumption that the deadline for such feedback would be "Task 3" + 48h?
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