Core Services
Event Optimization
Title Enhancement: Gemini Flash-powered creative title generation based on category research, trending keywords, and engagement optimization patterns. Description Refinement: Compelling event descriptions that balance informativeness with excitement, incorporating audience targeting and category-specific language. Pricing Strategy: Data-driven ticket and reserve price optimization considering community engagement, category standards, and creator goals. Schedule Optimization: Intelligent timing recommendations based on audience activity patterns, category trends, and optimal engagement windows. Visual Content: AI-generated banner creation using Google Imagen with DALL-E fallback, incorporating event themes and visual appeal optimization.Specialized Agents
Title Agent
Model: Gemini 2.5 Flash Lite Purpose: Creative title generation with engagement optimization Input: Event data, category research, trending keywords Output: Enhanced title with alternatives and reasoningDescription Agent
Model: Gemini 2.5 Flash LitePurpose: Compelling description creation with audience targeting Input: Event data, category insights, user history Output: Optimized description with target audience analysis
Pricing Agent
Model: Gemini 2.0 Flash Exp Purpose: Numerical optimization for ticket and reserve pricing Input: Event data, market research, category pricing patterns Output: Recommended pricing with participation optimization rationaleSchedule Agent
Model: Gemini 2.0 Flash Exp Purpose: Data-driven timing optimization Input: Event data, audience patterns, category timing analysis Output: Optimal date/time recommendations with timezone considerationsBanner Agent
Model: Google Imagen (primary), DALL-E (fallback) Purpose: Visual content generation with brand consistency Input: Event data, style preferences, category aesthetics Output: AI-generated banner with color palette and alternative versionsTechnical Implementation
Supervisor Coordination
The PlannerSupervisor coordinates all specialized agents through two-phase execution: Phase 1: Shared context preparation across RAG, Research, Memory, and Blockchain agents Phase 2: Parallel execution of specialized agents with shared research dataCost Optimization
Shared Research: Single category research call shared across all agents (35% token reduction) Model Selection: Cost-effective model assignment based on task complexity Context Filtering: Agent-specific data extraction to minimize token usagePerformance Metrics
Token Usage: ~3,700 tokens per event Estimated Cost: $0.065 per optimization Processing Time: 15-30 seconds for complete plan generation Success Rate: 95%+ successful optimizationsAgent Interactions
Context Sharing
All specialized agents receive:- Category research insights (trends, pricing, audience)
- User history context (previous events, preferences)
- Market intelligence (current opportunities, timing)
Output Integration
Agent outputs are structured into cohesive plan:- Unified reasoning across recommendations
- Consistent tone and messaging
- Integrated visual and textual elements
Quality Assurance
Fallback Mechanisms
Each agent includes graceful degradation:- Title Agent: Falls back to enhanced original title
- Description Agent: Provides structured improvement suggestions
- Pricing Agent: Uses category averages with safety margins
- Schedule Agent: Recommends popular time slots for category
- Banner Agent: Falls back to DALL-E if Imagen unavailable
Validation
All outputs undergo validation:- Content appropriateness checking
- Length and format compliance
- Brand guideline adherence
- Technical specification validation
User Experience
Input Requirements
Minimal user input required:- Basic event details (title, description, category)
- Duration and rough timing preferences
- Any specific requirements or constraints
Output Delivery
Comprehensive plan including:- Enhanced event metadata
- Reasoning for each recommendation
- Alternative options where applicable
- Implementation guidance
Iteration Support
Users can refine any aspect:- Provide feedback on specific elements
- Request alternative approaches
- Adjust parameters and regenerate
Integration Points
EventFactory Integration
Optimized data flows directly to event creation:- Enhanced metadata ready for smart contract deployment
- Optimized pricing for TicketKiosk configuration
- Banner assets uploaded to IPFS storage
Curation Contract
Plan acceptance triggers:- Curation contract deployment for selected scope
- Fee structure activation (3% for Planner)
- Proxy permissions for ongoing optimization
Performance Analytics
Success Metrics
- Engagement Improvement: 40% average increase in event interest
- Pricing Optimization: 25% improvement in participation rates
- Title Effectiveness: 60% higher click-through rates
- Description Quality: 50% reduction in user questions
Cost Efficiency
- Traditional Copywriting: $200-500 per event
- Planner Scope: $0.065 per optimization
- Time Savings: 95% reduction in optimization time
- Quality Consistency: 100% professional standard output
Related Documentation
- Curation Scopes - Overview of all service levels
- Shared Agents - Foundation agents used by Planner
- System Overview - Technical architecture context