JAEGIS Workflow Orchestrator

Overview

The JAEGIS Workflow Orchestrator manages the end-to-end flow of the JAEGIS method, coordinating agent interactions, managing phase transitions, and ensuring seamless collaboration between human users and AI agents throughout the development process.

Core Responsibilities

1. Phase Management

• Phase Initialization: Set up each JAEGIS phase with appropriate agents and resources

• Phase Transitions: Manage handoffs between Brainstorming → Modeling → Architecture → Development

• Progress Tracking: Monitor completion status and quality gates for each phase

• Adaptive Flow: Adjust workflow based on project needs and user preferences

2. Agent Coordination

• Agent Selection: Choose appropriate agents for each phase and task

• Agent Communication: Facilitate information sharing between agents

• Context Management: Maintain project context across agent interactions

• Resource Allocation: Optimize agent utilization and prevent conflicts

3. User Experience Management

• Session Continuity: Maintain consistent experience across phases and sessions

• Progress Visualization: Provide clear indicators of project status and next steps

• Interaction Optimization: Adapt interface and flow based on user behavior

• Quality Assurance: Ensure deliverables meet JAEGIS method standards

Workflow Architecture

Phase Definitions

jaegis_phases:
  brainstorming:
    primary_agent: "brainstorming_specialist"
    supporting_agents: ["elicitation_agent", "template_agent"]
    entry_criteria: ["project_concept", "basic_requirements"]
    exit_criteria: ["refined_concept", "feature_priorities", "stakeholder_analysis"]
    deliverables: ["concept_document", "feature_list", "stakeholder_map"]
    
  modeling:
    primary_agent: "product_manager_agent"
    supporting_agents: ["template_agent", "elicitation_agent"]
    entry_criteria: ["refined_concept", "feature_priorities"]
    exit_criteria: ["complete_prd", "user_stories", "acceptance_criteria"]
    deliverables: ["prd_document", "user_story_backlog", "requirements_matrix"]
    
  architecture:
    primary_agent: "architect_agent"
    supporting_agents: ["template_agent", "elicitation_agent"]
    entry_criteria: ["complete_prd", "technical_requirements"]
    exit_criteria: ["architecture_document", "technical_specifications"]
    deliverables: ["architecture_diagram", "tech_stack_definition", "implementation_plan"]
    
  development:
    primary_agent: "development_agent"
    supporting_agents: ["template_agent", "quality_agent"]
    entry_criteria: ["architecture_document", "implementation_plan"]
    exit_criteria: ["development_plan", "code_structure", "deployment_strategy"]
    deliverables: ["development_roadmap", "code_templates", "deployment_config"]

Workflow State Management

workflow_state:
  project_metadata:
    project_id: "unique_project_identifier"
    project_name: "descriptive_project_name"
    creation_date: "iso_timestamp"
    last_modified: "iso_timestamp"
    current_phase: "brainstorming|modeling|architecture|development"
    completion_status: "percentage_complete"
    
  phase_status:
    brainstorming:
      status: "not_started|in_progress|completed|skipped"
      start_time: "iso_timestamp"
      completion_time: "iso_timestamp"
      deliverables_status: "pending|partial|complete"
      quality_score: "0-100"
      
  agent_interactions:
    - agent_id: "agent_identifier"
      interaction_type: "session|handoff|collaboration"
      timestamp: "iso_timestamp"
      context: "interaction_context"
      outcomes: ["outcome_list"]
      
  user_preferences:
    preferred_interaction_style: "guided|collaborative|autonomous"
    elicitation_technique_preferences: ["technique_list"]
    template_customizations: "customization_data"
    workflow_modifications: "modification_data"

Agent Coordination Framework

Agent Handoff Protocol

handoff_protocol:
  pre_handoff:
    - Validate exit criteria for current phase
    - Prepare deliverables and context for next agent
    - Generate handoff summary and recommendations
    - Confirm user readiness for phase transition
    
  handoff_execution:
    - Transfer project context and deliverables
    - Introduce next phase agent to user
    - Establish new phase objectives and expectations
    - Initialize next phase workspace and tools
    
  post_handoff:
    - Confirm successful context transfer
    - Validate entry criteria for new phase
    - Begin new phase activities
    - Monitor transition success and user satisfaction

Inter-Agent Communication

communication_framework:
  context_sharing:
    - Project metadata and current state
    - Previous phase deliverables and insights
    - User preferences and interaction history
    - Quality metrics and feedback
    
  collaboration_patterns:
    parallel_collaboration:
      - Multiple agents working simultaneously on different aspects
      - Real-time information sharing and coordination
      - Conflict resolution and priority management
      
    sequential_collaboration:
      - Structured handoffs between agents
      - Clear deliverable dependencies
      - Quality gates and validation checkpoints
      
    consultative_collaboration:
      - Primary agent leading with specialist consultation
      - Expert input on specific technical or domain areas
      - Validation and review of specialized content

User Experience Flow

Session Management

session_flow:
  session_initialization:
    - Load project state and context
    - Identify current phase and active agents
    - Present session overview and objectives
    - Confirm user readiness and preferences
    
  active_session:
    - Facilitate agent-user interactions
    - Monitor progress and engagement
    - Apply elicitation techniques as appropriate
    - Manage document creation and updates
    
  session_conclusion:
    - Summarize session outcomes and progress
    - Save project state and deliverables
    - Identify next steps and recommendations
    - Schedule follow-up sessions if needed

Progress Visualization

progress_indicators:
  phase_progress:
    - Visual representation of JAEGIS phase completion
    - Deliverable status and quality indicators
    - Time estimates and milestone tracking
    - Bottleneck identification and resolution suggestions
    
  quality_metrics:
    - Document completeness and quality scores
    - User satisfaction and engagement levels
    - Agent performance and effectiveness measures
    - Overall project health indicators
    
  next_steps:
    - Clear identification of immediate next actions
    - Recommended session duration and focus areas
    - Agent availability and scheduling information
    - Resource requirements and preparation needs

Quality Assurance Framework

Quality Gates

quality_gates:
  phase_completion_criteria:
    brainstorming:
      - Concept clarity and feasibility assessment
      - Stakeholder analysis completeness
      - Feature prioritization rationale
      - Innovation and differentiation evaluation
      
    modeling:
      - PRD completeness and clarity
      - User story coverage and quality
      - Acceptance criteria specificity
      - Requirements traceability
      
    architecture:
      - Architecture diagram accuracy and completeness
      - Technical specification detail and feasibility
      - Scalability and performance considerations
      - Security and compliance requirements
      
    development:
      - Implementation plan clarity and feasibility
      - Code structure and organization
      - Testing strategy completeness
      - Deployment and maintenance planning

Continuous Improvement

improvement_framework:
  feedback_collection:
    - User satisfaction surveys after each phase
    - Agent performance metrics and analytics
    - Deliverable quality assessments
    - Process efficiency measurements
    
  optimization_opportunities:
    - Workflow bottleneck identification
    - Agent coordination improvements
    - Template and elicitation technique refinements
    - User experience enhancements
    
  adaptive_learning:
    - Pattern recognition in successful projects
    - Failure analysis and prevention strategies
    - Best practice identification and sharing
    - Continuous workflow optimization

Integration Points

Expansion Pack Integration

expansion_pack_integration:
  pack_loading:
    - Identify applicable expansion packs for project domain
    - Load specialized agents and templates
    - Modify workflow to incorporate domain-specific steps
    - Update quality criteria and success metrics
    
  workflow_adaptation:
    - Insert domain-specific phases or sub-phases
    - Modify agent selection and coordination patterns
    - Adapt templates and elicitation techniques
    - Customize deliverables and quality gates

Platform Integration

platform_integration:
  claude_code:
    - Native workflow execution within Claude Code environment
    - Seamless agent switching and context preservation
    - Integrated document creation and management
    - Real-time collaboration and version control
    
  gemini_gems:
    - Workflow orchestration through connected gems
    - Cross-gem context sharing and coordination
    - Integrated template and elicitation systems
    - Unified user experience across gem interactions
    
  chatgpt_custom_gpts:
    - Multi-GPT workflow coordination
    - Context preservation across GPT interactions
    - Integrated handoff and collaboration protocols
    - Unified project management and tracking

Error Handling and Recovery

Error Detection

error_detection:
  workflow_errors:
    - Phase transition failures
    - Agent coordination breakdowns
    - Context loss or corruption
    - Quality gate violations
    
  user_experience_errors:
    - Session interruptions or timeouts
    - User confusion or disengagement
    - Deliverable quality issues
    - Progress tracking inconsistencies

Recovery Strategies

recovery_strategies:
  automatic_recovery:
    - Context restoration from backups
    - Agent reinitialization and coordination
    - Session state recovery and continuation
    - Quality issue identification and correction
    
  user_assisted_recovery:
    - Clear error explanation and options
    - Guided recovery process with user input
    - Alternative workflow paths and solutions
    - Manual override and customization options

Performance Optimization

Efficiency Measures

performance_optimization:
  agent_utilization:
    - Load balancing across available agents
    - Parallel processing where appropriate
    - Resource pooling and sharing
    - Performance monitoring and optimization
    
  user_experience:
    - Response time optimization
    - Context switching minimization
    - Interaction flow streamlining
    - Cognitive load reduction
    
  system_scalability:
    - Horizontal scaling capabilities
    - Resource allocation optimization
    - Caching and performance enhancement
    - Monitoring and alerting systems

The JAEGIS Workflow Orchestrator ensures that the entire JAEGIS method operates as a cohesive, efficient, and user-friendly system that delivers consistent high-quality outcomes while maintaining the collaborative human-AI approach that defines the method.