As AI shifts from automation to autonomy, understanding AI agents has become foundational—not optional. Whether you’re building GenAI products, orchestrating autonomous workflows, or architecting agentic RAG systems, one question defines your strategy: 𝗪𝗵𝗮𝘁 𝗸𝗶𝗻𝗱 𝗼𝗳 𝗮𝗴𝗲𝗻𝘁 𝗮𝗿𝗲 𝘆𝗼𝘂 𝗱𝗲𝘀𝗶𝗴𝗻𝗶𝗻𝗴? To make that clearer, I put together a visual mapping the top 𝟴 𝘁𝘆𝗽𝗲𝘀 𝗼𝗳 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀, from reactive tools to collaborative digital workers: • 𝗦𝗶𝗺𝗽𝗹𝗲 𝗥𝗲𝗳𝗹𝗲𝘅 𝗔𝗴𝗲𝗻𝘁𝘀 – React to current input. No memory. • 𝗠𝗼𝗱𝗲𝗹-𝗕𝗮𝘀𝗲𝗱 𝗥𝗲𝗳𝗹𝗲𝘅 𝗔𝗴𝗲𝗻𝘁𝘀 – Add internal state and context-awareness. • 𝗚𝗼𝗮𝗹-𝗕𝗮𝘀𝗲𝗱 𝗔𝗴𝗲𝗻𝘁𝘀 – Act with purpose, navigating toward defined outcomes. • 𝗨𝘁𝗶𝗹𝗶𝘁𝘆-𝗕𝗮𝘀𝗲𝗱 𝗔𝗴𝗲𝗻𝘁𝘀 – Choose optimal actions using utility functions. • 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗔𝗴𝗲𝗻𝘁𝘀 – Improve through experience and feedback. • 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗔𝗴𝗲𝗻𝘁𝘀 – Operate independently across planning and execution. • 𝗟𝗟𝗠-𝗕𝗮𝘀𝗲𝗱 𝗔𝗴𝗲𝗻𝘁𝘀 – Use language models for reasoning and generation. • 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 – Multiple agents collaborating or competing in real time. We’re moving from systems that assist to systems that co-create—capable of reasoning, adapting, and coordinating like teams. If you're building in AI today, this isn’t a theoretical discussion—it’s your architectural foundation. What type of agent are you building for? | 25 comments on LinkedIn
