Update app.py

app.py

@@ -349,67 +349,92 @@ def recommend_preamble_solution(industry,
         if has_ai_app:
             solution = "Guardrails Only"
             monthly_cost = api_calls * 0.005
-            description = f"""### ⚡ Guardrails Only
-            Perfect for integrating with your existing AI application:
-            - Quick API integration.
-            - Pre-built security and privacy guardrails.
-            - Basic compliance templates.
-            - Agentless operation.
-            - Free Trial available.
-            - Free Shadow AI Tool {shadow_ai_blocker}
-            $0.005 per API call (Est. monthly cost: ${monthly_cost:,.2f} at {api_calls:,} calls/month)"""
+            description = f"""
+#### ⚡ [Guardrails Only - Compliance](https://preamble.com/pricing)
+
+Perfect for integrating with your existing AI application:
+- Quick API integration.
+- Pre-built security and privacy guardrails.
+- Basic compliance templates.
+- Agentless operation.
+- Free Trial available.
+- Free Shadow AI Tool {shadow_ai_blocker}
+            
+$0.005 per API call (Est. monthly cost: ${monthly_cost:,.2f} at {api_calls:,} calls/month)
+            
+[Learn more about Preamble pricing options](https://preamble.com/pricing)"""
             image = "🛡️"
         else:
             solution = "SMB"
-            description = f"""### 🚀 SMB
-            Perfect for teams getting started with AI:
-            - Full platform features.
-            - Standard compliance templates.
-            - Protection for up to 25 AI applications.
-            - Secure Knowledge Base.
-            - SaaS Hosting.
-            - Free Shadow AI Tool {shadow_ai_blocker}
-            $50 per user/month"""
+            description = f"""
+#### 🚀 [SMB](https://preamble.com/pricing)
+
+Perfect for teams getting started with AI:
+- Full platform features.
+- Standard compliance templates.
+- Protection for up to 25 AI applications.
+- Secure Knowledge Base.
+- SaaS Hosting.
+- Free Shadow AI Tool {shadow_ai_blocker}
+
+$50 per user/month
+
+[Learn more about Preamble pricing options](https://preamble.com/pricing)"""
             image = "🏢"
     elif org_size >= 1000 or industry in high_risk_industries:
         solution = "Enterprise"
-        description = f"""### 🏢 Enterprise License
-        Perfect for large or high-risk organizations:
-        - Complete compliance controls.
-        - Custom AI Assistant Development Support.
-        - Dedicated support team.
-        - Private AI Marketplace.
-        - Custom integrations.
-        - Private cloud/on-premise options.
-        - Free Shadow AI Tool {shadow_ai_blocker}
-        Starting at $27,000/month with discounts for multi-year deals"""
+        description = f"""
+#### 🏢 [Enterprise License](https://preamble.com/pricing)
+
+Perfect for large or high-risk organizations:
+- Complete compliance controls.
+- Custom AI Assistant Development Support.
+- Dedicated support team.
+- Private AI Marketplace.
+- Custom integrations.
+- Private cloud/on-premise options.
+- Free Shadow AI Tool {shadow_ai_blocker}
+         
+Starting at $27,000/month with discounts for multi-year deals
+
+[Learn more about Preamble pricing options](https://preamble.com/pricing)"""
         image = "🚀"
     elif org_size >= 100:  
         solution = "SMB"
-        description = f"""### 🚀 SMB
-        Perfect for teams getting started with AI:
-        - Full platform features.
-        - Standard compliance templates.
-        - Custom AI Assistants.
-        - Safe AI Search Agent
-        - Secure Knowledge Base.
-        - SaaS Hosting.
-        - Free Shadow AI Tool {shadow_ai_blocker}
-        $50 per user/month"""
+        description = f"""
+#### 🚀 [SMB](https://preamble.com/pricing)
+
+Perfect for teams getting started with AI:
+- Full platform features.
+- Standard compliance templates.
+- Custom AI Assistants.
+- Safe AI Search Agent
+- Secure Knowledge Base.
+- SaaS Hosting.
+- Free Shadow AI Tool {shadow_ai_blocker}
+
+$50 per user/month
+
+[Learn more about Preamble pricing options](https://preamble.com/pricing)"""
         image = "🏢"
 
     else:  
         solution = "Guardrails Only"
         monthly_cost = api_calls * 0.005
-        description = f"""### ⚡ Guardrails Only
-            Perfect for integrating with your existing AI application:
-            - Quick API integration.
-            - Pre-built security and privacy guardrails.
-            - Basic compliance templates.
-            - Agentless operation.
-            - Free Trial available.
-            - Free Shadow AI Tool {shadow_ai_blocker}
-            $0.005 per API call (Est. monthly cost: ${monthly_cost:,.2f} at {api_calls:,} calls/month)"""
+        description = f"""
+#### ⚡ [Guardrails Only - Compliance](https://preamble.com/pricing)
+
+Perfect for integrating with your existing AI application:
+- Quick API integration.
+- Pre-built security and privacy guardrails.
+- Basic compliance templates.
+- Agentless operation.
+- Free Trial available.
+- Free Shadow AI Tool {shadow_ai_blocker}
+
+$0.005 per API call (Est. monthly cost: ${monthly_cost:,.2f} at {api_calls:,} calls/month)
+
+[Learn more about Preamble pricing options](https://preamble.com/pricing)"""
         image = "🛡️"
     return {"solution": solution, "description": description, "image": image}
 
@@ -545,64 +570,69 @@ def generate_recommendations(industry,
         security_compliance
     )
 
-    dept_recommendations = "".join(
-        f"\n    {i+1}. **{dept['Department']}** (ROI: {dept['ROI']:.1f}%)"
-        f"\n       - Annual cost savings: ${dept['Annual Cost Savings']:,.2f}"
-        f"\n       - Hours saved annually: {dept['Annual Hours Saved']:,.0f}"
-        f"\n       - Top AI use cases:\n        - " +
-        "\n        - ".join(dept["Use Cases"]) + "\n"
-        for i, dept in enumerate(top_departments))
-
-    security_text = "\n\n### Key Security Considerations\n" + "\n".join(
-        f"- {risk}" for risk in industry_risks)
-
-    subscription_text = (
-        f"\n### Subscription & Tool Optimization\n- **Current annual spend:** ${subscription_savings['total_current_cost']:,.2f}\n"
-        f"- **Potential annual savings:** ${subscription_savings['total_savings']:,.2f} ({subscription_savings['savings_percentage']:.1f}%)\n"
-        f"- **Recommendation:** Evaluate consolidation of overlapping tools with AI capabilities\n"
-    )
-
-    compliance_text = (
-        f"\n### Compliance Risk Reduction\n- **Potential risk exposure reduction:** ${compliance_savings['total_savings']:,.2f}\n"
-        f"- **Key regulations to address:**\n" +
-        "".join(f"  - {reg['name']}: ${reg['cost']:,.2f} risk exposure\n"
-                for reg in compliance_savings['key_regulations']))
-
-
-    build_vs_buy_text = (
-        f"\n### Build vs Buy Analysis\n"
-        f"- **Building in-house:**\n"
-        f"  - First year cost: ${comparison['first_year_build']:,.2f}\n"
-        f"  - Ongoing annual cost: ${comparison['ongoing_annual_build']:,.2f}\n"
-        f"  - 3-year total cost: ${comparison['three_year_build']:,.2f}\n\n"
-        f"- **Preamble Enterprise:**\n"
-        f"  - Annual cost: ${comparison['annual_preamble']:,.2f}\n"
-        f"  - 3-year total cost: ${comparison['three_year_preamble']:,.2f}\n\n"
-        f"- **3-year savings with Preamble:** ${comparison['three_year_savings']:,.2f} ({comparison['savings_percentage']:.1f}%)\n"
-        f"- **ROI:** {((comparison['three_year_savings'] / comparison['three_year_preamble']) * 100):,.1f}%\n"
-    )
+    dept_recommendations = ""
+    for i, dept in enumerate(top_departments):
+        dept_recommendations += f"\n{i+1}. **{dept['Department']}** (ROI: {dept['ROI']:.1f}%)\n"
+        dept_recommendations += f"   - Annual cost savings: ${dept['Annual Cost Savings']:,.2f}\n"
+        dept_recommendations += f"   - Hours saved annually: {dept['Annual Hours Saved']:,.0f}\n"
+        dept_recommendations += "   - Top AI use cases:\n"
+        for use_case in dept["Use Cases"]:
+            dept_recommendations += f"     - {use_case}\n"
+
+    security_text = "\n\n### Key Security Considerations\n"
+    for risk in industry_risks:
+        security_text += f"- {risk}\n"
+
+    subscription_text = "\n### Subscription & Tool Optimization\n"
+    subscription_text += f"- **Current annual spend:** ${subscription_savings['total_current_cost']:,.2f}\n"
+    subscription_text += f"- **Potential annual savings:** ${subscription_savings['total_savings']:,.2f} ({subscription_savings['savings_percentage']:.1f}%)\n"
+    subscription_text += "- **Recommendation:** Evaluate consolidation of overlapping tools with AI capabilities\n"
+
+    compliance_text = "\n### Compliance Risk Reduction\n"
+    compliance_text += f"- **Potential risk exposure reduction:** ${compliance_savings['total_savings']:,.2f}\n"
+    compliance_text += "- **Key regulations to address:**\n"
+    for reg in compliance_savings['key_regulations']:
+        compliance_text += f"  - {reg['name']}: ${reg['cost']:,.2f} risk exposure\n"
+
+    build_vs_buy_text = "\n### Build vs Buy Analysis\n"
+    build_vs_buy_text += "- **Building in-house:**\n"
+    build_vs_buy_text += f"  - First year cost: ${comparison['first_year_build']:,.2f}\n"
+    build_vs_buy_text += f"  - Ongoing annual cost: ${comparison['ongoing_annual_build']:,.2f}\n"
+    build_vs_buy_text += f"  - 3-year total cost: ${comparison['three_year_build']:,.2f}\n\n"
+    build_vs_buy_text += "- **Preamble Enterprise:**\n"
+    build_vs_buy_text += f"  - Annual cost: ${comparison['annual_preamble']:,.2f}\n"
+    build_vs_buy_text += f"  - 3-year total cost: ${comparison['three_year_preamble']:,.2f}\n\n"
+    build_vs_buy_text += f"- **3-year savings with Preamble:** ${comparison['three_year_savings']:,.2f} ({comparison['savings_percentage']:.1f}%)\n"
+    build_vs_buy_text += f"- **ROI:** {((comparison['three_year_savings'] / comparison['three_year_preamble']) * 100):,.1f}%\n"
+
+    # Improve formatting for Executive Summary with line breaks between items
+    executive_summary = "## Executive Summary\n"
+    executive_summary += f"- **Industry:** {industry}\n"
+    executive_summary += f"- **Organization Size:** {org_size:,} employees\n"
+    executive_summary += f"- **Monthly Budget:** ${monthly_budget:,.2f}\n"
+    executive_summary += f"- **Existing AI Application:** {'Yes' if has_ai_app else 'No'}\n"
+    executive_summary += f"- **Total Potential Annual Savings:** ${total_dept_savings + subscription_savings['total_savings'] + compliance_savings['total_savings']:,.2f}\n\n"
+
+    # Format implementation roadmap with proper line breaks
+    implementation_roadmap = "## Implementation Roadmap\n\n"
+    implementation_roadmap += "1. **Phase 1: Security Foundation** (1-2 months)\n"
+    implementation_roadmap += f"   - Deploy Preamble {solution_rec['solution']}\n"
+    implementation_roadmap += "   - Establish AI governance framework\n"
+    implementation_roadmap += "   - Train key personnel\n\n"
+    implementation_roadmap += "2. **Phase 2: Department Pilots** (2-3 months)\n"
+    implementation_roadmap += f"   - Implement AI use cases in {top_departments[0]['Department']}\n"
+    implementation_roadmap += "   - Measure results\n\n"
+    implementation_roadmap += "3. **Phase 3: Expansion** (3-6 months)\n"
+    implementation_roadmap += "   - Roll out to additional departments\n"
+    implementation_roadmap += "   - Begin subscription consolidation\n"
+    implementation_roadmap += "   - Scale security controls\n\n"
 
     report = (
-        f"# AI Implementation & Security Recommendation\n## Executive Summary\n"
-        f"**Industry:** {industry}\n**Organization Size:** {org_size:,} employees\n"
-        f"**Monthly Budget:** ${monthly_budget:,.2f}\n"
-        f"**Existing AI Application:** {'Yes' if has_ai_app else 'No'}\n"
-        f"**Total Potential Annual Savings:** ${total_dept_savings + subscription_savings['total_savings'] + compliance_savings['total_savings']:,.2f}\n\n"
+        f"# AI Implementation & Security Recommendation\n{executive_summary}"
         f"## Recommended Preamble Solution\n{solution_rec['image']} {solution_rec['description']}\n\n"
         f"{build_vs_buy_text}\n"
-        f"## Department Recommendations\nThe following departments show the highest potential ROI for AI implementation:\n{dept_recommendations}\n"
-        f"{subscription_text}{compliance_text}{security_text}\n\n## Implementation Roadmap\n\n"
-        f"1. **Phase 1: Security Foundation** (1-2 months)\n"
-        f"   - Deploy Preamble {solution_rec['solution']}\n"
-        f"   - Establish AI governance framework\n"
-        f"   - Train key personnel\n\n"
-        f"2. **Phase 2: Department Pilots** (2-3 months)\n"
-        f"   - Implement AI use cases in {top_departments[0]['Department']}\n"
-        f"   - Measure results\n\n"
-        f"3. **Phase 3: Expansion** (3-6 months)\n"
-        f"   - Roll out to additional departments\n"
-        f"   - Begin subscription consolidation\n"
-        f"   - Scale security controls\n\n"
+        f"## Department Recommendations\nThe following departments show the highest potential ROI for AI implementation:{dept_recommendations}\n"
+        f"{subscription_text}{compliance_text}{security_text}\n\n{implementation_roadmap}"
         f"\n[Learn more about Preamble solutions and pricing](https://preamble.com/pricing)"
     )
     return report, comparison
@@ -1411,13 +1441,13 @@ def create_app():
                             dept_count = len(updated_departments)
                             base_count = total_employees // dept_count
                             remainder = total_employees % dept_count
-                            
+
                             for idx in updated_departments.index:
                                 if idx < remainder:
                                     updated_departments.at[idx, 'Number of Employees'] = base_count + 1
                                 else:
                                     updated_departments.at[idx, 'Number of Employees'] = base_count
-                                    
+
                     # Adjust to ensure exact total (due to rounding)
                     current_sum = updated_departments['Number of Employees'].sum()
                     if current_sum != total_employees:
@@ -1430,7 +1460,7 @@ def create_app():
                             # If the largest department would go negative, redistribute
                             updated_departments.at[largest_dept_idx, 'Number of Employees'] = 1
                             remaining_diff = diff + 1 - updated_departments.at[largest_dept_idx, 'Number of Employees']
-                            
+
                             # Distribute remaining difference across other departments
                             for idx in updated_departments.index:
                                 if idx != largest_dept_idx and remaining_diff != 0:
@@ -1499,37 +1529,37 @@ def create_app():
                         org_size_val = int(org_size) if org_size is not None else 90
                     except (ValueError, TypeError):
                         org_size_val = 90
-                        
+
                     try:
                         monthly_budget_val = float(monthly_budget) if monthly_budget is not None else 30000
                     except (ValueError, TypeError):
                         monthly_budget_val = 30000.0
-                        
+
                     try:
                         api_calls_val = int(api_calls) if api_calls is not None else 10000
                     except (ValueError, TypeError):
                         api_calls_val = 10000
-                        
+
                     try:
                         initial_dev_cost_val = float(initial_dev_cost) if initial_dev_cost is not None else 1000000
                     except (ValueError, TypeError):
                         initial_dev_cost_val = 1000000.0
-                        
+
                     try:
                         num_ai_personnel_val = int(num_ai_personnel) if num_ai_personnel is not None else 1
                     except (ValueError, TypeError):
                         num_ai_personnel_val = 1
-                        
+
                     try:
                         avg_annual_salary_val = float(avg_annual_salary) if avg_annual_salary is not None else 200000
                     except (ValueError, TypeError):
                         avg_annual_salary_val = 200000.0
-                        
+
                     try:
                         annual_maintenance_val = float(annual_maintenance) if annual_maintenance is not None else 500000
                     except (ValueError, TypeError):
                         annual_maintenance_val = 500000.0
-                        
+
                     try:
                         security_compliance_val = float(security_compliance) if security_compliance is not None else 250000
                     except (ValueError, TypeError):