Change HowTo
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app.py
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@@ -1549,18 +1549,7 @@ with gr.Blocks(title="π Consilium: Visual AI Consensus Platform", theme=gr.th
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with gr.Tab("π Usage Guide"):
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gr.Markdown("""
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## π― How to Get Expert AI Analysis with Live Research
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### π **NEW: Native Research Integration**
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**Watch Expert AIs automatically call for research:**
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- π€ Expert analyzes your question
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- π Expert decides: "I need current data on this topic"
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- β‘ Research Agent springs into action automatically
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- π Expert continues with fresh research integrated
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- π‘ More informed, data-driven expert recommendations
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**No manual prompting needed - AIs naturally request information!**
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### π **Professional Decision Questions**
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#### **πΌ Business & Strategy**
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- "Will lab-grown meat replace traditional agriculture?"
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- "Should we trust AI with medical decision-making?"
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#### **βοΈ Balanced (Recommended for Most Decisions)**
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- **Expert Advocate**: Passionate defender with compelling evidence
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@@ -1662,124 +1651,6 @@ with gr.Blocks(title="π Consilium: Visual AI Consensus Platform", theme=gr.th
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- Creates interesting chains of reasoning and idea evolution
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- Can lead to surprising consensus emergence
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- **Use when:** You want to see how ideas build and evolve
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## π **Research Integration in Action**
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### **πͺ What You'll See:**
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1. **π€ Expert Thinking**: Orange pulsing as expert analyzes
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2. **π Research Request**: Expert decides they need current data
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3. **β‘ Research Agent Activation**: Research Agent springs to life
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4. **π¬ Research Activity**: "Researching for Mistral: carbon capture technology trends"
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5. **π Data Integration**: Expert continues with fresh research
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6. **β¨ Enhanced Analysis**: More informed, evidence-based recommendations
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### **π¬ Types of Research Calls:**
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- **Current Market Data**: "Latest trends in renewable energy investment"
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- **Technical Specifications**: "Performance comparison of database architectures"
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- **Policy Information**: "Recent climate change legislation updates"
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- **Scientific Research**: "Latest findings on AI alignment approaches"
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- **Background Knowledge**: "Comprehensive overview of nuclear energy safety"
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## π‘ **Pro Tips for Best Results**
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### π― **Question Design for Research Integration**
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1. **Include time sensitivity** - "Current best practices for...", "Latest developments in..."
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2. **Reference specific domains** - "Enterprise software", "Climate technology", "AI safety"
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3. **Mention data needs** - "Market analysis", "Performance comparison", "Research findings"
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4. **Set research context** - "Based on current evidence...", "With latest data..."
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### π **Role Strategy with Research**
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1. **Research Specialist + Function Calls** = Authoritative, data-backed analysis
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2. **Strategic Advisor + Current Data** = Practical, market-informed recommendations
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3. **Critical Analyst + Latest Research** = Evidence-based risk assessment
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4. **Innovation Catalyst + Trend Data** = Forward-looking, informed disruption
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### βοΈ **Protocol Selection for Research-Heavy Decisions**
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1. **Consensus with Research**: Build agreement on shared data foundation
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2. **Weighted Voting with Research**: Let data quality and expertise determine influence
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3. **Majority with Current Data**: Competitive analysis with latest information
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4. **Ranked Choice with Research**: Systematic evaluation of options with current data
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### π **Discussion Rounds with Research**
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1. **Round 1**: Initial analysis + automatic research calls
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2. **Round 2**: Debate with shared research foundation
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3. **Round 3+**: Refined positions with additional targeted research
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## πͺ **The Enhanced Visual Experience**
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**Watch for these enhanced expert indicators:**
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- π€ **Orange pulsing** = Expert analyzing the question
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- π **Research Request** = Expert calling for information
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- β‘ **Research Agent Active** = Gathering data automatically
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- β¨ **Gold glowing** = Expert presenting research-enhanced analysis
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- π¬ **Enhanced speech bubbles** = Data-driven insights and recommendations
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- π **Center synthesis** = Research-informed expert consensus
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**The roundtable now shows real AI research collaboration in action!**
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## π **Competition-Winning Technical Features**
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### **π οΈ Professional-Grade Implementation:**
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- **Native OpenAI Function Calling**: Industry-standard API patterns
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- **Clean Architecture**: No text parsing, proper error handling
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- **Type Safety**: Function parameters with validation
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- **Future-Proof**: Standard patterns, easily extensible
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### **π¨ Visual Innovation:**
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- **Real-Time Research**: See AIs collaborating with research agent
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- **Seamless Integration**: Research appears naturally in conversation
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- **Professional UX**: Visual feedback for all research activity
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- **Responsive Design**: Smooth transitions and state management
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### **π Modern AI Workflows:**
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- **Natural AI Behavior**: AIs decide when they need information
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- **Autonomous Research**: No manual prompting required
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- **Multi-Source Integration**: Web search + Wikipedia + expert analysis
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- **Research Quality**: Authoritative sources with proper attribution
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## π **Enhanced Private Expert Sessions**
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**Each user gets their own isolated expert panel with research:**
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Your decisions and research are private and secure
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Your API keys enable your personal research capabilities
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Your analysis history includes all research activity
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Multiple users can run research-enhanced analyses simultaneously
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**Perfect for teams, consultants, researchers, and strategic planning with live data!**
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---
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## π― **Getting Started with Research-Enhanced Analysis**
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1. **Choose a data-sensitive decision question** - Include current trends, market data, or recent developments
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2. **Select your decision protocol** - Consider research-friendly options like weighted voting
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3. **Pick expert roles** that benefit from research - Research specialists, strategic advisors
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4. **Start the analysis** and watch experts automatically call for research
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5. **Review enhanced results** with current data integration
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6. **Implement data-driven recommendations** with confidence
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**Ready to make better decisions with expert AI analysis + live research?** π
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### **π¬ Research Integration Examples:**
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**Business Question**: "Should we adopt microservices architecture?"
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- π Expert calls: "Current microservices adoption trends enterprise software"
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- π Gets latest market data and implementation studies
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- π‘ Provides informed recommendation based on current evidence
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**Technical Question**: "What's the best approach to carbon capture?"
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- π Expert calls: "Latest carbon capture technology developments 2025"
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- π Gets current research and performance data
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- π‘ Recommends based on cutting-edge scientific findings
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**Policy Question**: "Should we prioritize nuclear energy?"
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- π Expert calls: "Nuclear energy safety statistics climate goals"
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- π Gets current policy data and safety records
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- π‘ Makes evidence-based policy recommendation
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**The future of AI decision-making is here - intelligent, research-enhanced, collaborative analysis!**
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""")
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# Launch configuration
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with gr.Tab("π Usage Guide"):
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gr.Markdown("""
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## π― How to Get Expert AI Analysis with Live Research
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### π **Professional Decision Questions**
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#### **πΌ Business & Strategy**
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- "Will lab-grown meat replace traditional agriculture?"
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- "Should we trust AI with medical decision-making?"
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## π **Expert Role Assignments**
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#### **βοΈ Balanced (Recommended for Most Decisions)**
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- **Expert Advocate**: Passionate defender with compelling evidence
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- Creates interesting chains of reasoning and idea evolution
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- Can lead to surprising consensus emergence
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- **Use when:** You want to see how ideas build and evolve
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""")
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# Launch configuration
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