Scheduling Agents

{
  "daily_report": {
    "schedule_type": "fixed",
    "frequency": "daily",
    "time": "09:00",
    "timezone": "America/New_York",
    "description": "Generate daily performance report",
    "agent_config": {
      "agent_id": "daily_reporter",
      "parameters": {
        "report_date": "today",
        "include_charts": true,
        "recipients": ["management@company.com"]
      }
    }
  },
  "weekly_analysis": {
    "schedule_type": "fixed",
    "frequency": "weekly",
    "day_of_week": "monday",
    "time": "08:00",
    "timezone": "UTC",
    "description": "Weekly market analysis and insights",
    "agent_config": {
      "agent_id": "market_analyzer",
      "parameters": {
        "analysis_period": "last_week",
        "markets": ["technology", "healthcare", "finance"]
      }
    }
  },
  "monthly_summary": {
    "schedule_type": "fixed",
    "frequency": "monthly",
    "day_of_month": 1,
    "time": "07:00",
    "timezone": "UTC",
    "description": "Monthly business summary and metrics",
    "agent_config": {
      "agent_id": "business_summarizer",
      "parameters": {
        "period": "previous_month",
        "detailed": true
      }
    }
  }
}

⏰ Interval-Based Schedules:

⚡ High Frequency (Real-time Monitoring):
├── 🔄 Every 5 minutes: System health checks
├── 🔄 Every 15 minutes: Price monitoring
├── 🔄 Every 30 minutes: Social media sentiment
└── 🔄 Every hour: Competitor analysis

📊 Medium Frequency (Regular Updates):
├── 🔄 Every 2 hours: News aggregation
├── 🔄 Every 4 hours: Inventory updates
├── 🔄 Every 6 hours: Customer feedback analysis
└── 🔄 Every 12 hours: Performance metrics

📅 Low Frequency (Periodic Reviews):
├── 🔄 Daily: Content curation
├── 🔄 Weekly: Trend analysis
├── 🔄 Monthly: Compliance checks
└── 🔄 Quarterly: Strategic insights

{
  "business_hours_only": {
    "schedule_type": "flexible",
    "conditions": {
      "time_range": {
        "start": "09:00",
        "end": "17:00"
      },
      "days": ["monday", "tuesday", "wednesday", "thursday", "friday"],
      "exclude_holidays": true,
      "timezone": "America/New_York"
    },
    "frequency": "every_2_hours",
    "description": "Customer service monitoring during business hours"
  },
  "market_hours": {
    "schedule_type": "flexible",
    "conditions": {
      "market_open": true,
      "exclude_weekends": true,
      "special_conditions": {
        "earnings_season": "increase_frequency",
        "high_volatility": "enable_alerts"
      }
    },
    "frequency": "every_15_minutes",
    "description": "Trading signal analysis during market hours"
  }
}

📡 External Event Triggers:

💬 Communication Events:
├── 📧 New email received (specific sender/subject)
├── 💬 Slack message mentions or keywords
├── 📞 Calendar meeting starting/ending
└── 📱 SMS or WhatsApp message received

📊 Business Events:
├── 💰 New sale or transaction completed
├── 👤 Customer support ticket created
├── 📈 KPI threshold crossed (up or down)
├── 🚨 System alert or error detected
└── 📦 Inventory level reached minimum

🌐 External Data Events:
├── 📰 News article matching keywords
├── 📈 Stock price movement beyond threshold
├── 🌡️ Weather condition changes
├── 📊 Market data updates
└── 🔔 Social media mentions or sentiment changes

{
  "sales_threshold_trigger": {
    "trigger_type": "data_change",
    "data_source": "crm_system",
    "conditions": {
      "metric": "daily_sales",
      "operator": "greater_than",
      "threshold": 10000,
      "time_window": "today"
    },
    "agent_action": {
      "agent_id": "celebration_notifier",
      "parameters": {
        "message_type": "achievement",
        "recipients": "sales_team"
      }
    }
  },
  "inventory_alert": {
    "trigger_type": "data_change",
    "data_source": "inventory_system",
    "conditions": {
      "any_product": {
        "stock_level": "less_than",
        "threshold": 10,
        "category": "high_priority"
      }
    },
    "agent_action": {
      "agent_id": "inventory_manager",
      "parameters": {
        "action": "reorder_analysis",
        "urgency": "high"
      }
    }
  }
}

📁 File Event Triggers:

📤 Upload Events:
├── 📊 New spreadsheet uploaded → Data analysis agent
├── 📝 Contract document added → Legal review agent
├── 📷 Image uploaded → Content processing agent
└── 📄 Report submitted → Approval workflow agent

🔄 File Changes:
├── ✏️ Document edited → Version control agent
├── 🔒 File permissions changed → Security audit agent
├── 📁 Folder structure modified → Organization agent
└── 🗑️ File deleted → Backup verification agent

⚡ Processing Events:
├── ✅ OCR processing completed → Text analysis agent
├── 🔍 Document indexed → Search update agent
├── 🎯 Classification completed → Routing agent
└── 📊 Data extraction finished → Integration agent

{
  "complex_market_analysis": {
    "trigger_type": "multi_condition",
    "logic": "AND",
    "conditions": [
      {
        "type": "time",
        "market_hours": true,
        "day_of_week": ["monday", "tuesday", "wednesday", "thursday", "friday"]
      },
      {
        "type": "data",
        "source": "market_data",
        "metric": "volatility_index",
        "operator": "greater_than",
        "value": 20
      },
      {
        "type": "external_event",
        "source": "news_feed",
        "keyword_match": ["earnings", "acquisition", "merger"],
        "sentiment": "significant"
      }
    ],
    "agent_config": {
      "agent_id": "market_event_analyzer",
      "priority": "high",
      "parameters": {
        "analysis_depth": "comprehensive",
        "include_predictions": true
      }
    }
  }
}

🔄 Quarterly Report Workflow:

1️⃣ Data Collection Agent (Day 1 of Quarter End)
├── 📊 Gather financial data from accounting system
├── 📈 Collect sales metrics from CRM
├── 👥 Retrieve HR data for headcount/productivity
└── ✅ Trigger next step when all data collected

2️⃣ Analysis Agent (Triggered by Step 1 Completion)
├── 📊 Perform financial analysis and calculations
├── 📈 Generate trend comparisons with previous quarters
├── 🎯 Identify key insights and recommendations
└── ✅ Trigger report generation when analysis complete

3️⃣ Report Generation Agent (Triggered by Step 2)
├── 📝 Create executive summary document
├── 📊 Generate charts and visualizations
├── 📧 Format for different stakeholder groups
└── ✅ Trigger distribution when report ready

4️⃣ Distribution Agent (Triggered by Step 3)
├── 📧 Send to board members and executives
├── 📱 Post summary to internal communication channels
├── 📁 Archive in document management system
└── 📊 Track delivery and engagement metrics

🎛️ Visual Schedule Configuration:

📅 Calendar View:
├── 📊 Drag-and-drop schedule creation
├── 🔄 Visual repeat pattern selection
├── ⚠️ Conflict detection and resolution
├── 📈 Capacity planning and load balancing
└── 🎯 Timeline visualization with dependencies

⚙️ Advanced Options:
├── 🌍 Multi-timezone support and coordination
├── 🔄 Holiday and business day handling
├── 📊 Resource allocation and limits
├── 🚨 Error handling and retry policies
└── 📝 Custom notification and alerting rules

🧪 Testing and Simulation:
├── 🔍 Schedule dry-run and validation
├── 📊 Performance impact estimation
├── ⏰ Execution time prediction
└── 🎯 Optimization recommendations

{
  "bulk_operations": {
    "create_department_schedules": {
      "operation": "bulk_create",
      "template": "department_reporting_template",
      "departments": ["sales", "marketing", "engineering", "finance"],
      "customizations": {
        "sales": {
          "frequency": "daily",
          "time": "09:00",
          "reports": ["pipeline", "conversion", "forecast"]
        },
        "marketing": {
          "frequency": "weekly",
          "day": "monday",
          "time": "08:00",
          "reports": ["campaigns", "attribution", "leads"]
        }
      }
    },
    "seasonal_adjustments": {
      "operation": "bulk_modify",
      "filter": {
        "tags": ["reporting", "analysis"],
        "frequency": "daily"
      },
      "changes": {
        "holiday_period": {
          "reduce_frequency": true,
          "new_frequency": "weekly",
          "date_range": ["2024-12-20", "2024-01-05"]
        }
      }
    }
  }
}

📊 Schedule Execution Monitoring:

🎯 Performance Metrics:
├── ✅ Success Rate: 98.7% (last 30 days)
├── ⏱️ Average Execution Time: 2.3 minutes
├── 🔄 On-Time Execution: 99.2%
├── 🚨 Failed Executions: 1.3% (12 of 924)
├── ⏰ Retry Success Rate: 89.1%
└── 📈 Resource Utilization: 67% average

📅 Schedule Health:
├── 🟢 Active Schedules: 45 running normally
├── ⚠️ Warning Schedules: 3 with minor issues
├── 🔴 Failed Schedules: 1 requires attention
├── ⏸️ Paused Schedules: 7 temporarily disabled
└── 📊 Total Executions Today: 127

🚨 Recent Alerts:
├── ⚠️ "Daily Sales Report" - 15 min delay (network issue)
├── 🔴 "Inventory Check" - Failed 3 times (authentication error)
├── 📊 "Market Analysis" - High resource usage detected
└── ✅ "Customer Feedback" - Resumed after temporary pause

⚡ Automatic Performance Optimization:

🔄 Load Balancing:
├── 📊 Intelligent schedule distribution across time slots
├── 🎯 Avoid peak execution periods when possible
├── 📈 Dynamic capacity allocation based on complexity
└── ⚖️ Resource usage balancing across agent types

⏰ Timing Optimization:
├── 🧠 AI-powered optimal execution time suggestions
├── 📊 Historical performance pattern analysis
├── 🔄 Automatic adjustment for improved reliability
└── 🎯 Dependency-aware scheduling to minimize delays

🚨 Proactive Problem Detection:
├── 📈 Trend analysis for performance degradation
├── 🔍 Early warning system for potential failures
├── 🔄 Automatic retry strategy optimization
└── 📊 Resource bottleneck identification and resolution

🔄 Parallel Execution Strategies:

⚡ Independent Parallel Tasks:
├── 📊 Data Collection: CRM, Marketing, Finance (simultaneous)
├── 🔍 Analysis Tasks: Multiple market segments (parallel)
├── 📧 Notifications: Different stakeholder groups (concurrent)
└── 🧹 Maintenance: System cleanup tasks (simultaneous)

🎯 Coordinated Parallel Workflows:
├── 📊 Phase 1: Data gathering agents (all start together)
├── ⏰ Phase 2: Wait for all Phase 1 completion
├── 📈 Phase 3: Analysis agents using combined data
└── 📝 Phase 4: Report generation with all insights

⚖️ Resource-Aware Execution:
├── 🧠 Dynamic parallelism based on system capacity
├── 📊 Priority-based resource allocation
├── 🔄 Automatic scaling and throttling
└── 🎯 SLA-aware execution prioritization

{
  "customer_lifecycle_workflow": {
    "workflow_type": "sequential_with_conditions",
    "stages": [
      {
        "stage": "lead_qualification",
        "agent": "lead_scorer",
        "success_criteria": {
          "score": "greater_than_70"
        },
        "on_success": "proceed_to_nurturing",
        "on_failure": "assign_to_manual_review"
      },
      {
        "stage": "lead_nurturing",
        "agent": "nurture_automation",
        "dependencies": ["lead_qualification"],
        "conditions": {
          "lead_score": "above_threshold",
          "engagement_level": "sufficient"
        },
        "duration": "7_days",
        "success_criteria": {
          "engagement_increase": "20_percent"
        }
      },
      {
        "stage": "sales_handoff",
        "agent": "sales_coordinator",
        "dependencies": ["lead_nurturing"],
        "conditions": {
          "nurtured_score": "sales_ready",
          "sales_team_capacity": "available"
        },
        "notifications": {
          "sales_rep": "immediate",
          "manager": "daily_summary"
        }
      }
    ]
  }
}

🧠 AI-Powered Schedule Optimization:

📊 Pattern Recognition:
├── 🎯 Optimal execution time prediction based on historical data
├── 📈 Resource demand forecasting for capacity planning
├── 🔄 Failure pattern analysis for proactive prevention
└── ⏰ Performance optimization recommendations

🎯 Adaptive Scheduling:
├── 🧠 Learning from execution success/failure patterns
├── 📊 Dynamic adjustment based on system performance
├── 🔄 Automatic rescheduling for optimal outcomes
└── 📈 Continuous improvement through feedback loops

🚨 Predictive Maintenance:
├── 🔍 Early detection of potential schedule conflicts
├── 📊 Resource exhaustion prediction and prevention
├── ⚡ Automatic failover and backup scheduling
└── 🔄 Proactive optimization before issues occur

{
  "context_aware_scheduling": {
    "market_analysis_agent": {
      "base_schedule": "every_4_hours_business_days",
      "context_adjustments": {
        "earnings_season": {
          "frequency": "every_hour",
          "priority": "high",
          "additional_data_sources": ["earnings_calendar", "analyst_reports"]
        },
        "market_volatility_high": {
          "frequency": "every_30_minutes",
          "enable_alerts": true,
          "expanded_analysis": true
        },
        "holiday_periods": {
          "frequency": "daily",
          "reduced_scope": true,
          "focus": "international_markets"
        }
      }
    },
    "customer_service_agent": {
      "base_schedule": "continuous_monitoring",
      "context_adjustments": {
        "high_ticket_volume": {
          "increase_capacity": "200_percent",
          "escalation_threshold": "lower",
          "additional_support": "enable"
        },
        "business_hours": {
          "response_time_target": "5_minutes",
          "quality_checks": "enabled"
        },
        "after_hours": {
          "response_time_target": "30_minutes",
          "escalation_only": "urgent_issues"
        }
      }
    }
  }
}