Designing Smart AI Agents: Architecture Patterns That Survive Production
A practical field guide to agent topologies, state design, and the failure modes that separate a demo from a system that survives 90 days in production. Six months ago, a logistics company in Dubai flew me in to look at their "autonomous customer operations" pilot. The vendor demo was stunning. An agent quoted delivery timelines, resolved address discrepancies, and flagged high-risk shipments for…
When designing AI agents for production use, the architecture matters. The article outlines six topologies: Single Loop, Router, Orchestrator-Worker, Hierarchical Agents, Peer Team, and State Machine. Each has its own cost profile, failure modes, and best use cases.
The Single Loop topology uses one model with a set of tools and a while loop. It is best for narrow, well-scoped tasks that require low cost and latency.
The Router topology uses a small fast model to classify requests and dispatch them to specialized handlers. This is ideal for handling high-volume traffic with minimal latency.
Orchestrator-Worker uses one orchestrator to decompose tasks into subtasks and hand them off to workers. It is suitable for tasks that can be broken down into smaller components, with medium cost and latency.
Hierarchical Agents manage multiple agents, scaling up the Orchestrator-Worker pattern. This has high cost and latency, making it suitable for large enterprise research pipelines.
Peer Team consists of multiple agents working together toward a shared goal. This has high cost and latency and is best for creative drafting and debate-style tasks.
State Machine is a deterministic workflow with steps managed by a state machine. It is low-cost and predictable in latency, making it suitable for processes with a few fuzzy decision points.
The article emphasizes the importance of state management in production agents. Working state should be kept within the context window, while longer-term state should be stored in a database. This helps avoid context creep and memory issues.
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