made changes in prompt and final report

phase3_agents.py

@@ -35,9 +35,6 @@ def generate_ai_strategy(company_data: str, industry_trends: str, ai_use_cases:
     
     Generate a structured AI strategy including:
     1. Key AI Opportunities
-    2. Recommended AI Tools & Technologies
-    3. AI Implementation Roadmap
-    4. Future Scalability Plan
     """
     response = reasoning_agent.run(query)
     return response.content  # Returns the generated AI strategy
@@ -46,30 +43,30 @@ def generate_ai_strategy(company_data: str, industry_trends: str, ai_use_cases:
 ##############################
 # 2️⃣ AI Integration Advisor  #
 ##############################
-ai_integration_agent = Agent(
-    name="AI Integration Advisor",
-    model=OpenAIChat(id="gpt-4o"),
-    description="Suggests AI implementation strategies based on industry insights and company operations.",
-    show_tool_calls=True,
-    markdown=True,
-)
-
-def suggest_ai_integration(company_data: str, ai_strategy: str) -> str:
-    """Suggests a structured AI implementation plan."""
-    query = f"""
-    Based on the AI adoption strategy:
-    - **Company Context:** {company_data}
-    - **AI Strategy Summary:** {ai_strategy}
-
-    Provide a structured AI implementation plan including:
-    1. Step-by-step AI adoption process
-    2. Required AI Technologies & Infrastructure
-    3. Workforce training & AI skill development
-    4. Risk considerations (data security, compliance, ethical AI)
-    5. Key performance indicators (KPIs) for AI success.
-    """
-    response = ai_integration_agent.run(query)
-    return response.content  # Returns AI integration plan
+# ai_integration_agent = Agent(
+#     name="AI Integration Advisor",
+#     model=OpenAIChat(id="gpt-4o"),
+#     description="Suggests AI implementation strategies based on industry insights and company operations.",
+#     show_tool_calls=True,
+#     markdown=True,
+# )
+
+# def suggest_ai_integration(company_data: str, ai_strategy: str) -> str:
+#     """Suggests a structured AI implementation plan."""
+#     query = f"""
+#     Based on the AI adoption strategy:
+#     - **Company Context:** {company_data}
+#     - **AI Strategy Summary:** {ai_strategy}
+
+#     Provide a structured AI implementation plan including:
+#     1. Step-by-step AI adoption process
+#     2. Required AI Technologies & Infrastructure
+#     3. Workforce training & AI skill development
+#     4. Risk considerations (data security, compliance, ethical AI)
+#     5. Key performance indicators (KPIs) for AI success.
+#     """
+#     response = ai_integration_agent.run(query)
+#     return response.content  # Returns AI integration plan
 
 
 ##############################
@@ -86,15 +83,17 @@ revenue_growth_agent = Agent(
 def identify_revenue_opportunities(company_data: str, ai_strategy: str) -> str:
     """Identifies AI-driven revenue generation opportunities for a business."""
     query = f"""
-    You are an AI business analyst identifying AI-driven revenue growth opportunities for:
-    - **Company Overview:** {company_data}
-    - **AI Strategy:** {ai_strategy}
-
-    Provide:
-    1. AI-based Monetization Strategies (new revenue streams)
-    2. Cost Reduction & Operational Efficiency
-    3. Market Expansion through AI-driven solutions
-    4. Competitive Positioning & Differentiation using AI.
+    You are an AI business analyst identifying practical AI-driven revenue growth opportunities for:
+    
+    Company Overview: {company_data}
+    AI Strategy: {ai_strategy}
+    Provide a concise, single-paragraph summary covering:
+    
+    AI-based Monetization Strategies – How can the company create new revenue streams using AI?
+    Cost Reduction & Operational Efficiency – How can AI streamline operations and reduce costs?
+    Market Expansion – How can AI open new markets or customer segments?
+    Competitive Positioning – How can AI help differentiate the company from competitors?
+    Keep it short, crisp, and actionable, avoiding complex or unnecessary details.
     """
     response = revenue_growth_agent.run(query)
     return response.content  # Returns revenue opportunities
@@ -119,11 +118,19 @@ def get_bni_membership_benefits(company_data: str) -> str:
 ##############################
 # 6️⃣ Report Generation Agent #
 ##############################
-def generate_report(company_name: str, company_data: str, industry_trends: str, ai_use_cases: str,
-                    ai_strategy: str, ai_integration: str, revenue_opportunities: str,
+def generate_report(company_name: str, company_data: str, #industry_trends: str, ai_use_cases: str,
+                    ai_strategy: str,# ai_integration: str
+                    revenue_opportunities: str,
                     bni_benefits: str) -> str:
     """
     Generates a structured AI strategy report in PDF format using `pdfkit`.
+
+    ##  AI Use Cases
+    #ai_use_cases
+    ## AI Implementation Plan
+    # {ai_integration
+        ##  Industry Trends
+    # {industry_trends
     
     Returns:
         str: Filename of the generated PDF.
@@ -134,25 +141,16 @@ def generate_report(company_name: str, company_data: str, industry_trends: str,
     ## 1️⃣ Company Overview
     {company_data}
     
-    ## 2️⃣ Industry Trends
-    {industry_trends}
-    
-    ## 3️⃣ AI Use Cases
-    {ai_use_cases}
-    
-    ## 4️⃣ AI Adoption Strategy
+    ## 2️⃣ AI Adoption Strategy
     {ai_strategy}
     
-    ## 5️⃣ AI Implementation Plan
-    {ai_integration}
-    
-    ## 6️⃣ Revenue Growth Opportunities
+    ## 3️⃣ Revenue Growth Opportunities
     {revenue_opportunities}
 
-    ## 7️⃣ How BNI Can Help Your Business
+    ## 4️⃣ How BNI Can Help Your Business
     {bni_benefits}
     
-    ## 8️⃣ Recommended BNI Pearl Chapter Connections
+    ## 5️⃣ Recommended BNI Pearl Chapter Connections
     
     """