A decision-first guide to pick the simplest option that works: classic automation, a chatbot, or a true AI agent with tools, memory, and autonomy.
Design an asynchronous backbone for AI agents using AWS SNS fan-out and SQS worker queues, with the AWS AgentCore managed service orchestrating the flow.
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 disciplined tool schemas, function signatures, and domain ontologies so agents can plan with confidence and avoid brittle prompt hacks.
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