Core Concepts
Understand how AI Task Manager works under the hood. This section covers the architecture, design principles, and comprehensive feature set.
Architecture Overview
AI Task Manager uses progressive refinement with validation gates to transform chaotic AI development into structured, manageable workflows:
- Context Isolation: Each phase operates with focused context
- Mandatory Human Review: Control what gets built at each phase
- Skill-Based Decomposition: Specialized agents handle specific tasks
- Parallel Execution: Independent tasks run simultaneously
What You’ll Learn
In this section:
- How It Works: Understand the three-phase system and design principles
- Features: Comprehensive overview of all capabilities
Key Principles
Progressive Refinement
Break complex projects into manageable phases with human review gates between each stage.
YAGNI Enforcement
Built-in scope control prevents feature creep through multiple validation checkpoints.
Quality Assurance
Validation gates and hooks ensure quality at each phase, not just at the end.
Next Steps
Start with How It Works to understand the architecture, then explore Features for a complete capability overview.