When to Use One Model and When to Use a Team of Agents

A single, large reasoning model can fail in complex tasks by smoothing over contradictory evidence or dropping context. A more robust approach is to use a team of specialized AI agents, each focused on a specific sub-task like inference, sequencing, or capacity planning. This system uses models like Codex and Claude based on their strengths, managed by a central coordinator. The coordinator's crucial function is to highlight disagreements between the agents rather than averaging their outputs, leading to more reliable decision briefs for high-stakes operations.