How to Merge Parallel AI Agent Reviews Without State Collisions

Parallel review workflows need explicit merge rules or conflicting agent outputs will collide at convergence.

If you want to merge parallel AI agent reviews without state collisions, define the convergence rules before the review swarm starts. Parallel work sounds efficient because it creates more coverage at once. It becomes dangerous when the system has no rule for what happens after branches disagree.

Without merge discipline, the final output often reflects whichever branch writes last or speaks loudest.

Merge rules should answer

• Which branch has authority over which result type?
• What evidence is required before a conflict can be resolved?
• When does the system escalate to a human reviewer?

What safe convergence looks like

Parallel work adds value only when convergence is controlled instead of improvised. Good merge rules turn disagreement into evidence instead of corruption.

Use the architecture guide, blackboard schema, and examples to define that merge layer.