Building Agentic AI Systems? Let me share a Comprehensive Guide with you. When designing smarter AI systems, understanding how agents think, act, and collaborate is the key. Here's a breakdown of the essentials: 1) What is an AI Agent? An AI agent is a system that thinks, plans, and acts independently using LLMs, adapting in real-time with minimal human help. 2) Architectures for Building AI Agents Start with single agents for simple tasks or build multi-agent systems where different agents collaborate and solve complex problems together. 3) Foundations of Agent Design Good agents combine powerful models, smart memory, useful tools, structured instructions, and seamless orchestration to work effectively. 4) Building Guardrails for Safety and Control Safety measures like data privacy, dynamic rules, and human checkpoints keep agents responsible and prevent harmful outcomes. 5) Essential Tools for Building Agentic AI Successful agents rely on LLMs, memory systems, orchestrators, integration tools, guardrails, and monitoring platforms to operate smartly. Save this if you're learning about AI Agents and want a solid foundation and follow me Shalini Goyal for more such insights :-) ! | 65 comments on LinkedIn