Use Global Workspace Theory as a lens for coordinated agents. Design selection, shared state, evidence broadcasting, and authority boundaries without confusing a large context window with a complete coordination architecture.
Test the complete agent coordination loop under failure. Exercise duplicate delivery, interrupted execution, delayed evidence, and changed permissions while measuring task completion separately from control failures.
Keep shared evidence, human approval, and execution authority distinct. Preserve provenance, bind permission to exact operations, and revalidate the boundary when an agent is ready to act.
Design a bounded shared workspace for AI agents with versioned state, visible disagreement, and controlled updates. Separate current task state from recovery history and reusable memory.
Find an architecture guide, platform, or operational problem.
Suggested searches
