diff --git a/week1/community-contributions/day1-email-subject-implementation.ipynb b/week1/community-contributions/day1-email-subject-implementation.ipynb
new file mode 100644
index 0000000..e968e7c
--- /dev/null
+++ b/week1/community-contributions/day1-email-subject-implementation.ipynb
@@ -0,0 +1,115 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4e2a9393-7767-488e-a8bf-27c12dca35bd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# imports\n",
+    "\n",
+    "import os\n",
+    "from dotenv import load_dotenv\n",
+    "from openai import OpenAI\n",
+    "\n",
+    "# If you get an error running this cell, then please head over to the troubleshooting notebook!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7b87cadb-d513-4303-baee-a37b6f938e4d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load environment variables in a file called .env\n",
+    "\n",
+    "load_dotenv(override=True)\n",
+    "api_key = os.getenv('OPENAI_API_KEY')\n",
+    "\n",
+    "# Check the key\n",
+    "\n",
+    "if not api_key:\n",
+    "    print(\"No API key was found - please head over to the troubleshooting notebook in this folder to identify & fix!\")\n",
+    "elif not api_key.startswith(\"sk-proj-\"):\n",
+    "    print(\"An API key was found, but it doesn't start sk-proj-; please check you're using the right key - see troubleshooting notebook\")\n",
+    "elif api_key.strip() != api_key:\n",
+    "    print(\"An API key was found, but it looks like it might have space or tab characters at the start or end - please remove them - see troubleshooting notebook\")\n",
+    "else:\n",
+    "    print(\"API key found and looks good so far!\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "019974d9-f3ad-4a8a-b5f9-0a3719aea2d3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "openai = OpenAI()\n",
+    "\n",
+    "# If this doesn't work, try Kernel menu >> Restart Kernel and Clear Outputs Of All Cells, then run the cells from the top of this notebook down.\n",
+    "# If it STILL doesn't work (horrors!) then please see the Troubleshooting notebook in this folder for full instructions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "00743dac-0e70-45b7-879a-d7293a6f68a6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Step 1: Create your prompts\n",
+    "\n",
+    "system_prompt = \"Eres un analista acostumbrado a trabajar con correos electrónicos que contiene un gran conocimiento sobre la mejor manera de resumir contenido releveante \\\n",
+    "dejando de lado cualquier información que no despierte interés o no sea el tema principal del correo. Tu función será leer contenido de correos y definir un listado de las 3 mejores opciones con el formato: Opción *numero de la opción*: *sujeto* Motivo: *que palabras clave dentro del texto has utilizado para llegar a esa conclusion y la relación semántica con tu idea\"\n",
+    "user_prompt = \"\"\"\n",
+    "Tengo un correo que le quiero enviar a mi profesor pero no se muy bien como llamarlo, ayudame. El correo es el siguiente:\n",
+    "Hola profe,\n",
+    "Ultimamente estoy disfrutando mucho sus clases y la información que presenta me parece muy importante. Este fin de semana me voy de vacaciones y no podré\n",
+    "ir a sus clases la semana que viene. Me gustaría si pudiera pasarme los pdfs de la siguiente semana para echarle un vistazo por mi cuenta durante mi ausencia en Francia.\n",
+    "\n",
+    "Un saludo,\n",
+    "Daniel.\n",
+    "\"\"\"\n",
+    "\n",
+    "# Step 2: Make the messages list\n",
+    "\n",
+    "messages = [{\"role\" : \"system\" , \"content\": system_prompt},\n",
+    "            {\"role\": \"user\", \"content\": user_prompt}]\n",
+    "\n",
+    "# Step 3: Call OpenAI\n",
+    "\n",
+    "response = openai.chat.completions.create( \n",
+    "    model = \"gpt-4o-mini\",\n",
+    "    messages = messages)\n",
+    "\n",
+    "# Step 4: print the result\n",
+    "\n",
+    "print(response.choices[0].message.content)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.11.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}