Browsing: Specification

As organizations scale their use of artificial intelligence (AI) agents and tools, finding the right reCP) servers, deploy agents, and create specialized tools, but without a central catalog, those re it, and maintain that connection manually. Worse, configuring an agent for one AI client doesn’t make it available to another

For the last two years, people have learned to get better results from large language models (LLMs) by writing clearer prompts: add context, define the role, give examples, specify the format, and iterate. This is still useful. But as AI moves from chatbots to coding agents, research assistants, data science copilots, and autonomous workflows, “good…