Update app.py

app.py

@@ -69,21 +69,24 @@ def contextual_pitch_assistant(csv_file, query, sender_name):
         style_instruction = "Balance clinical, patient, and business value."
 
     # Build prompt
+    
     prompt = f"""
-You are an expert in B2B email sales and marketing for dental technology solutions.
-
-Write a short, natural-sounding HTML sales email for a dental clinic.
+You are an expert in B2B sales messaging, inspired by Challenger Sales and Jeb Blount’s prospecting techniques. 
+Your job is to write a short, natural-sounding HTML email pitch to a dental clinic.
 
 Rules:
-- Always begin with "Dear {account_manager}," as the greeting.
-- Refer naturally to the clinic "{account_name}" in the body.
+- Begin with "Dear {account_manager}," as the greeting.
+- Anchor immediately in the clinic’s recent concern: "{notes}".
 - Adapt the pitch style: {style_instruction}
-- Use this recent interaction note for inspiration: "{notes}"
-- Focus on value, benefits, and a helpful tone — avoid technical jargon or metrics like churn or satisfaction scores.
-- Never include placeholders such as "Your Company Name" or "[Your Name]".
-- End the email with "Best regards," followed by "{sender_name}".
-- Keep it under 150 words.
-- Include a polite call to action at the end (e.g. suggesting a demo or short call).
+- Apply Challenger logic: 
+  * Start with the client’s voice or concern.
+  * Reframe with an insight (show a broader problem or missed opportunity).
+  * Link features → outcomes → business/patient/clinical impact.
+  * Use confident, but helpful tone — not pushy, not bland.
+- Keep under 150 words.
+- End with a strong, specific CTA (e.g. propose a short call or demo, suggest a time).
+- Never use placeholders like "Your Company" or "[Your Name]".
+- Close with "Best regards," followed by "{sender_name}".
 - Return only HTML — no markdown, no code fences.
 
 Query:
@@ -93,6 +96,7 @@ CRM context (for your understanding, do not copy verbatim):
 {row_to_text(row)}
 """
 
+
     response = client.chat.completions.create(
         model="gpt-4o-mini",
         messages=[{"role": "user", "content": prompt}],