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Beyond the LLM: Understanding AI Agents, Agent Cards, A2A, and Agent Harnesses
The most interesting shift brought by Generative AI is not simply that machines can generate better text, images, or code. It is that machines are beginning to act. For example, a user can ask an LLM through a chat interface to search the internet for a product, compare prices across suppliers, and purchase it from a trusted supplier based on cost and delivery time. That works well when there are only a few products to evaluate. But imagine a global business buying and sellin
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Sep 1913 min read


From Parrots (Static Models) to Pilots (Living Intelligence): Why the World Moved from LLMs → Agents → Agentic Systems
Evolution of AI: From LLMs as Basic Mimics to Advanced Agentic Systems, Highlighting the Transition from Simple Input-Output Models to Complex, Interactive Networks. In the early days of Generative AI hype, Large Language Models (LLMs) felt magical. You could type a question, and the machine would respond in coherent, human-like language. But very quickly, the world realized something: LLMs could talk , but they couldn’t do . This gap - between saying and acting - set the s
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Nov 2, 20253 min read
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