Enhancement: Default Supervisory Mechanism for AI Agents in KaibanJS

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Is your feature request related to a problem? Please describe.

KaibanJS incorporates Human-in-the-Loop (HITL) functionality, allowing for manual validation and feedback within AI-driven workflows. However, users have identified the need for a default supervisory setup to improve oversight of agents and validation of tasks without requiring manual intervention each time.

Currently, HITL requires explicit validation and intervention, which can become a bottleneck for workflows that need continuous supervision or adaptive validation rules.

User feedback: "A default supervisory setup/support would be nice to have."

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Describe the solution you'd like

To enhance agent supervision and validation, a default supervisory mechanism could be introduced. This would enable KaibanJS to handle task monitoring and validation dynamically by integrating preconfigured supervision strategies.

Proposed improvements:

1. Built-in Supervisor Agent:

   • A default Supervisor Agent that can oversee workflow execution.
   • The agent can be triggered automatically when a task reaches BLOCKED or AWAITING_VALIDATION.

2. Automated Validation Rules:

   • Allow users to define custom validation conditions that determine when human input is needed.
   • Automatically trigger validation based on task complexity, confidence score, or failure patterns.

3. Enhanced Feedback & Auditing System:

   • Improve the feedbackHistory by adding timestamps, reviewer identities, and revision reasons.
   • Track when and why a task required human intervention.

4. UI Enhancements for Supervision:

   • Improve visualization in the KaibanJS Kanban Board by marking supervised or corrected tasks.
   • Introduce a "Supervisor Panel" where users can see tasks that required intervention and their validation history.

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Describe alternatives you've considered

• Manual validation via HITL (current approach):
  • Users manually review tasks when needed, but this can become inefficient in large-scale workflows.
• External rule-based monitoring system:
  • Possible, but would require external integration and increase setup complexity.

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Additional context

• Relevant KaibanJS features:
  • validateTask(), provideFeedback(), getTasksByStatus().
  • Task statuses: BLOCKED, AWAITING_VALIDATION, REVISE, VALIDATED, DONE.
• Expected benefits:
  • Reduce the need for constant manual supervision.
  • Improve workflow automation by allowing predefined validation strategies.
  • Enhance user experience by making task oversight more efficient.