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You can automate project delivery from a PRD by using multi-agent orchestration to drive iterative Analyze, Design, Implement, and QA loops until convergence is detected. This converts your written requirements into validated deliverables autonomously.

Multi-agent orchestration for autonomous project execution is a process where a director agent coordinates expert agents across research, design, implementation, and QA phases. It uses convergence detection and state management to ensure traceable results.

You manage iterative QA and convergence checks by running automated loops that include analysis, implementation, and retro phases. The system evaluates deliverables against the PRD each cycle, Negotiates outputs, and stops when the results converge.

Yes, you can use autonomous orchestration for complex documentation and strategy tasks. The system is applicable to any complex task that begins with a written PRD and requires multiple rounds of analysis, design, implementation, and QA to reach reliable convergence.

You ensure traceable execution across multiple implementation loops by using built-in state management, task topology tracking, and audit artifacts. These features map every deliverable back to the original PRD and past iterations.

A limitation of autonomous multi-agent orchestration is that it requires a written PRD in context.md to begin. Without clear initial requirements, the director agent cannot drive the iterative loops or perform accurate convergence detection.