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From concept to production: agentic AI patterns, architectures, and implementation guides.
Agentic AI refers to intelligent systems capable of perceiving, reasoning, and acting autonomously toward defined goals. These agents can plan, execute, and adapt in complex environments.
AI agents are autonomous or semi-autonomous entities that process data, make decisions, and perform tasks using contextual awareness and learned strategies.
Multi-agent systems coordinate multiple specialized AI agents that collaborate, negotiate, and adapt to achieve collective intelligence and optimized outcomes.
