diff --git a/week1/community-contributions/day1_article_world_cup_final.ipynb b/week1/community-contributions/day1_article_world_cup_final.ipynb
new file mode 100644
index 0000000..3d61250
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+++ b/week1/community-contributions/day1_article_world_cup_final.ipynb
@@ -0,0 +1,60 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2c4ce468",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# imports\n",
+    "from openai import OpenAI\n",
+    "\n",
+    "openai = OpenAI(base_url='http://localhost:11434/v1', api_key='ollama')\n",
+    "\n",
+    "# Step 1: Create your prompts\n",
+    "\n",
+    "system_prompt = \"You are a sports journalist.\"\n",
+    "user_prompt = \"\"\"\n",
+    "    Write a sports article in less than 500 words describing the FIFA World Cup Final 2022.\n",
+    "\"\"\"\n",
+    "\n",
+    "# Step 2: Make the messages list\n",
+    "\n",
+    "messages = [\n",
+    "    {\"role\": \"system\", \"content\": system_prompt},\n",
+    "    {\"role\": \"user\", \"content\": user_prompt}\n",
+    "]\n",
+    "\n",
+    "# Step 3: Call OpenAI\n",
+    "\n",
+    "response = openai.chat.completions.create(model=\"llama3.2\", messages=messages)\n",
+    "\n",
+    "# Step 4: print the result\n",
+    "\n",
+    "print(response.choices[0].message.content)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "llms",
+   "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": "3.12.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}