team-coordination

Multi-agent project planning converges by structuring collaborative work into DAGs or loops with clear task waves, ownership boundaries, and explicit quality gates. This approach ensures independent workers contribute outputs that meet defined acceptance criteria.

Use a DAG for task delegation when work has finite dependencies and a clear stopping condition, whereas an iterative loop is better suited for scenarios requiring continuous quality-improvement cycles before reaching the final acceptance standard.

Quality gates turn Worker results into candidates, requiring an explicit decision to accept, verify, repair, ask, or replace the plan structure. Acceptance criteria are set by defining done standards and partitioning work by non-overlapping writes.

Replanning and human intervention require a controlled pause or stop decision flow with confirmation. You must apply safe reuse rules for accepted dependency inputs before adjusting the project-management structure.

Yes, you partition tasks by defining boundaries based on ownership, independent context, non-overlapping writes, and inspectable outputs. This context-bound task design enables safe parallelism across multiple workers.