diff --git a/gp_referral_toolkit/patient_note.txt b/gp_referral_toolkit/patient_note.txt
new file mode 100644
index 0000000..bef096a
--- /dev/null
+++ b/gp_referral_toolkit/patient_note.txt
@@ -0,0 +1,17 @@
+45F, fatigue and weight gain. Reports cold intolerance and constipation. No palpitations. Family history of thyroid disease.
+
+---
+
+56M, chest pain on exertion for 3 weeks. No SOB or nausea. Hypertension, diabetes. Family history of CAD.
+
+---
+
+22F, recurrent UTIs. Sexually active. No fever or flank pain. Normal renal function. History of E. coli positive urine cultures.
+
+---
+
+60M, progressive shortness of breath. Former smoker. Bilateral wheezing on auscultation. Awaiting spirometry. History of COPD.
+
+---
+
+32F, persistent headaches. Worse with stress. Normal neuro exam. No aura. Family history of migraines. Normal MRI last year.
diff --git a/gp_referral_toolkit/referral_letter_bot.py b/gp_referral_toolkit/referral_letter_bot.py
new file mode 100644
index 0000000..4c6784d
--- /dev/null
+++ b/gp_referral_toolkit/referral_letter_bot.py
@@ -0,0 +1,46 @@
+import openai
+
+# Step 1: Summarize the patient consultation note
+def summarize_patient_note(note_text):
+    response = openai.chat.completions.create(
+        model="gpt-4o-mini",
+        messages=[
+            {"role": "user", "content": f"Please summarize the following patient consultation note in a clear, clinical style:\n\n{note_text}"}
+        ]
+    )
+    return response.choices[0].message.content
+
+# Step 2: Generate a specialist referral letter
+def generate_referral_letter(summary_text, specialist_type):
+    system_prompt = f"You are an experienced general practitioner. Based on the consultation summary, write a concise, professional referral letter to a {specialist_type}."
+
+    response = openai.chat.completions.create(
+        model="gpt-4o-mini",
+        messages=[
+            {"role": "system", "content": system_prompt},
+            {"role": "user", "content": f"Consultation summary:\n\n{summary_text}"}
+        ]
+    )
+    return response.choices[0].message.content
+
+# Main logic
+if __name__ == "__main__":
+    try:
+        with open('patient_note.txt', 'r', encoding='utf-8') as file:
+            patient_note = file.read()
+
+        # Step 1: Summarize the note
+        summary = summarize_patient_note(patient_note)
+        print("\n🩺 Consultation Summary:")
+        print(summary)
+
+        # Step 2: Ask user which specialist to refer to
+        specialist = input("\n➡️  Which specialist is this referral for (e.g., cardiologist, neurologist)?\n")
+
+        # Step 3: Generate the referral letter
+        referral_letter = generate_referral_letter(summary, specialist)
+        print("\n📨 Generated Referral Letter:\n")
+        print(referral_letter)
+
+    except FileNotFoundError:
+        print("❌ The file 'patient_note.txt' was not found. Please ensure it exists in the project folder.")