battle-management

To dispatch multiple AI agents in parallel while keeping a single-focus UI, you need a battle-management system that isolates worktrees and uses a pop-up battle switch menu for monitoring concurrent assignments without losing immersion.

Worktree isolation separates risky or large changes into distinct directories during multi-agent orchestration. You need it to prevent parallel AI agents from interfering with the main project directory while executing concurrent battle steps.

Selecting between Haiku, Sonnet, and Opus models for parallel AI tasks requires a dispatch workflow that matches model capability to battle complexity, gating notifications and decision checkpoints based on the assigned model tier.

Yes, you can design an RPG combat system that monitors concurrent battles without breaking immersion by applying a DQ-style UI model with layered notifications, a pop-up battle switch menu triggered by Tab or Q, and battle history tracking.

Translating a roadmap specification into a concrete UI/UX spec for AI dispatch involves defining battle steps, agent selection logic, notification gating, and worktree environment rules to create an actionable system design checklist.

A limitation of using worktree isolation for parallel AI agent battles is the added overhead of managing multiple environments, which requires strict environment rules to ensure dispatch workflows and decision checkpoints remain synchronized across isolated worktrees.