𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 Traditional AI systems generate responses. AI agents go a step further—they execute tasks. If you're new to AI agents, this guide explains the concept in depth: https://artificialintelligence.oodles.io/services/agentic-ai-services/ai-agent/ 𝗧𝗵𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 Most AI implementations fail because: They are reactive They lack execution capability They depend heavily on user input 𝗪𝗵𝗮𝘁 𝗠𝗮𝗸𝗲𝘀 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗗𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 AI agents operate using a loop: Input → Reason → Action → Feedback → Repeat 𝗖𝗼𝗿𝗲 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀 LLM / Brain Handles reasoning and planning Tools / APIs Allow interaction with external systems Memory Stores past interactions and context Orchestration Manages multi-step workflows 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗘𝘅𝗮𝗺𝗽𝗹𝗲 In one of our projects at Oodles, we built an AI agent that automated workflow orchestration across systems, reducing manual dependency significantly.…