chorus

You can orchestrate collaborative AI agent workflows by assigning role-based responsibilities to PM, Developer, and Admin agents, enabling them to manage the project lifecycle from idea generation to administrative verification autonomously.

Task dependencies are managed automatically through a dependency-aware DAG pipeline that controls execution order, ensuring complex software features are built in the correct sequence without manual intervention.

AI agent actions are made traceable and reviewable by implementing the Reversed Conversation pattern, which ensures all autonomous operations remain aligned with human-defined project goals throughout the workflow.

Yes, MCP tools provide work observability by offering real-time tracking of agent sessions, task status, and progress reporting, allowing you to monitor the entire software development lifecycle.

Yes, the workflow enforces distinct role-based responsibilities for PM, Developer, and Admin agents to handle planning, code implementation, and governance without requiring human intervention in the code.

The best way to initialize agent assignments is to call the prism_checkin tool, which sets up your agent persona and displays your current project tasks within the dependency-aware pipeline.