Enterprise AI Agents: From Demo to Production

Autonomous AI agents are moving from experimental playgrounds to enterprise production, requiring robust architecture beyond simple LLM loops. Key components include reasoning, memory, tools, and guardrails, with hybrid planning patterns like Plan-and-Solve for orchestration and ReAct for sub-tasks. Security measures such as human-in-the-loop and sandboxed execution are critical for safe deployment.