📄 中文摘要
构建可靠的 AI 工作流比从提示生成单一输出要困难得多。在实际系统构建过程中，常常会遇到多个 AI 工具之间的切换、文本、图像、音频和代码输出的协调、提供者故障的处理、任务路由到合适模型的管理，以及执行过程中的实际情况跟踪等问题。最初的简单提示往往演变成脆弱的脚本、API 和手动步骤链。这些挑战促使开发了 Prompt Tornado，一个旨在执行可靠的多步骤 AI 工作流的 AI 编排平台。
为什么 AI 需要控制平面：构建 Prompt Tornado
出处: Why AI Needs a Control Plane: Building Prompt Tornado
发布: 2026年3月13日
📄 English Summary
Why AI Needs a Control Plane: Building Prompt Tornado
Building reliable AI workflows is significantly more challenging than generating a single output from a prompt. When developing a real system, issues arise such as switching between multiple AI tools, coordinating outputs from text, images, audio, and code, managing provider failures, routing tasks to the appropriate models, and tracking what actually occurred during execution. What begins as a simple prompt can quickly transform into a fragile chain of scripts, APIs, and manual steps. These challenges have led to the development of Prompt Tornado, an AI orchestration platform designed to execute reliable, multi-step AI workflows.