AI agents are often too complex and brittle for initial LLM workflows.
Five simpler patterns—prompt chaining, parallelization, routing, orchestrator-worker, and evaluator-optimizer—cover most use cases.
Start with structured workflows and human control before handing over to agents.
Reserve agents for dynamic tasks with human-in-the-loop oversight.
For stable enterprise systems, use deterministic orchestration and robust observability instead.
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