Task Distribution Architecture

Intelligent task allocation system that optimizes agent utilization and project completion time.

🎯 Smart Task Distribution

8 agents
Parallel Execution
+300%
94.2%
Task Completion
+18%
Enabled
Context Sharing
-35% tokens
92%
Queue Efficiency
+25%

📊 Distribution Strategies

Advanced algorithms ensure optimal task assignment and execution efficiency.

Skill-Based Routing

Tasks routed to agents based on their expertise and capabilities

Examples:

  • • Frontend tasks → Frontend Specialist
  • • Database queries → Database Specialist
  • • UI design → Designer Specialist
Efficiency Rate:
95%

Load Balancing

Distributes tasks evenly to prevent agent overload

Examples:

  • • Max 3 concurrent agents
  • • Queue management for busy agents
  • • Priority-based scheduling
Efficiency Rate:
88%

Dependency Resolution

Analyzes task dependencies and sequences work appropriately

Examples:

  • • Database schema before API
  • • API before frontend
  • • Tests after implementation
Efficiency Rate:
92%

Intelligent Prioritization

Prioritizes critical path tasks for faster completion

Examples:

  • • Core features first
  • • Blocking tasks prioritized
  • • Parallel opportunities identified
Efficiency Rate:
90%

🔄 Task Lifecycle

Every task follows a structured lifecycle for optimal execution and quality assurance.

Analysis

~30s

Task requirements analyzed and decomposed

Assignment

~10s

Optimal agent selected based on requirements

Execution

2-10min

Agent works on assigned task with context

Validation

~1min

Output validated and integrated

âš¡ Advanced Distribution Features

Intelligent Queuing

  • • Priority-based task scheduling
  • • Dynamic re-routing for failed tasks
  • • Automatic retry with backoff
  • • Dead letter queue for investigation

Performance Optimization

  • • Context caching between tasks
  • • Batch processing for similar tasks
  • • Predictive task duration estimation
  • • Resource pooling and sharing