You recognize the routine: The IT trade, pushed as a lot by vendor ambition as by necessity, develops many competing requirements to resolve a easy drawback. Immediately’s wrongdoer: agent-to-agent communication in AI.
The latest rise of so-called “requirements” for a way clever brokers ought to talk echoes previous points with service-oriented structure, net companies, and numerous messaging middleware conflicts. The important thing distinction is that now, this confusion may stop some of the promising areas in enterprise expertise—agentic AI—from ever offering actual worth.
Let’s set the scene. Clever brokers, whether or not they’re specialised massive language fashions (LLMs), service-brokering bots, Web of Issues digital twins, or workflow managers, want to speak effectively, securely, and transparently. It is a typical interoperability situation. A well-established trade may, in idea, create an easy, sensible protocol and transfer ahead. As an alternative, we see a flood of rising requirements from too many “professional” voices with an underlying agenda, every accompanied by a white paper, a neighborhood name, a sponsored convention, and, in fact, an ecosystem. That is the core drawback.
