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Rahul Agarwal

Founder | Agentic AI... • 19h

Enterprise AI agents are systems, not simple prompts. Some teams use a single agent with tools. This works well for simple automation tasks. Structured work often uses agents in sequence. Each agent handles one clear stage. At scale, tools are centralized for control. Shared state improves reliability and performance. For many use cases, routing is added. The agent understands intent before acting. Sensitive actions require human review. This ensures compliance and proper oversight. Complex problems benefit from parallel agents. Their results are combined at the end. Large systems use a lead agent. It delegates work to specialists. Most teams start simple and grow. Routing, humans, and parallelism come later. Start simple, scale thoughtfully, and design agents as systems, not prompts.

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