如何打造你自己的 AI Agent：從工具到工作流

Building an AI Agent Isn't as Hard as You Think

AI Agent may sound like a complex concept, but there are many tools available that allow you to create autonomous agents without writing code. Here are two approaches:

No Coding Required: Using No-Code Platforms

The fastest way to get started is by using visual automation tools to create workflows that combine triggers, AI, and actions:

• Automated workflows: n8n, Make, Zapier, Gumloop
• Personal AI agents: Lindy, Manus, Relay.app
• Web automation: Browse AI

For example, creating a workflow that "receives customer complaint emails → uses AI to determine sentiment and categorize → automatically drafts a response → logs it in a spreadsheet" is a simple agent.

For Coders: Building with Frameworks

If you want a more customized and powerful agent, you can use open-source frameworks like: CrewAI (multi-agent collaboration), LangChain, Flowise, Langflow. These frameworks can integrate tools, memory, and multi-step reasoning.

Four Steps to Building an Agent

1. Define the objective: Clearly state "what you want it to accomplish".
2. Break down the task: Divide the task into steps that the agent can execute.
3. Provide tools and permissions: Determine what data and services the agent needs to access (with minimal necessary permissions).
4. Test and supervise: Start with a small-scale test, retain human confirmation, and gradually scale up.

Don't Forget

• Reserve critical steps (payment, deletion, external sending) for human confirmation
• Set usage and cost limits to avoid background agents incurring unnecessary expenses
• Handle sensitive data with caution and use controlled solutions when necessary

Conclusion

The barrier to building an AI agent has been significantly lowered, and the focus is no longer on technology, but on clarifying the process. Start with a small, well-defined task. For further reading: How to Choose AI Agent Tools, Risks and Protection for AI Agents.