📄 中文摘要
AI 代理的讨论日益增多，众多框架如 LangChain、CrewAI 和 AutoGen 不断涌现。然而，许多开发者在未理解核心模式之前便开始使用框架，导致他们的“代理”仅仅是对单一 API 调用的昂贵且缓慢的封装。通过使用结构化提示和基本脚本，可以构建一个真正有用的多步骤 AI 工作流程。本文展示了如何创建一个内容处理管道，该管道能够接收原始笔记或要点作为输入，并生成相应的输出。
构建你的第一个 AI 代理工作流程：实用指南（无需框架）
📄 English Summary
Building Your First AI Agent Workflow: A Practical Guide (No Framework Needed)
The discussion around AI agents is growing, with numerous frameworks like LangChain, CrewAI, and AutoGen emerging. However, many developers start using frameworks without understanding the core patterns, resulting in their 'agents' being expensive and slow wrappers around a single API call. By utilizing structured prompts and basic scripting, it's possible to build a genuinely useful multi-step AI workflow. This guide demonstrates how to create a content processing pipeline that takes raw notes or bullet points as input and generates corresponding outputs.