Multi-agent systems are seductive because they look like organizational intelligence. In practice, most teams reach for them before they have earned the extra coordination cost.
A practical guide to designing background agents that work through queues, recover gracefully, and avoid turning every workflow into a chat session.
A practical guide to designing clean handoffs so humans stay in control without slowing your agent down.
A practical guide to designing intake forms and request schemas so your AI agent stops guessing and starts delivering consistent outcomes.
Compare orchestration patterns for multi-agent systems and learn how to build a command center that mixes DAG planners, event streams, and human checkpoints.
Design review queues, reversible actions, escalation trees, and friendly UIs that keep humans comfortably in control while agents do the heavy lifting.
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