虽然 AI Agent 可以加速开发并减少自动化工作流程中的模块数量，但它们也可能引入复杂性并使管理更具挑战性。一位用户发现，通过 Make.com 的 AI Agent 使用意图驱动的推理取代了僵化的决策树，将一个包含 30 多个模块的工作流程简化到大约 15 个模块，从而使流程更清晰、更易于维护和更新。然而，另一位用户指出，AI 编码代理虽然加快了开发速度，但导致整体工作流程更加混乱，需要围绕管理进行大量学习，而不仅仅是提示。 AI
影响 AI Agent 在开发方面提供速度优势，但需要仔细管理以避免工作流程复杂化。
排序理由 用户在工作流程自动化中对 AI Agent 的体验和看法。
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One thing I've learned while building automations: more modules don't always mean better workflows. Using Make.com's AI Agent, I reduced one workflow from 30+ modules to around 15. The biggest improvement wasn't the smaller module count, it was replacing rigid decision trees with…
🤖 AI agents helped me build faster, but made the workflow harder to manage AI coding agents made me faster, but they also made my workflow messier. I’ve been building a real app with them and the biggest lessons were not only about prompting. I had to learn a lot around A... 📰 So…