AI Agent 能做什麼？6 個台灣個人與企業的實戰應用

Look Beyond Concepts, Focus on Problem-Solving

Many people have heard of AI Agent, but are unsure about its practical applications. Below, we've compiled six scenarios that are relevant to individuals and businesses in Taiwan, each corresponding to readily available tools.

1. Information Gathering and Research (Individual)

In the past, conducting market research, competitor analysis, or organizing a topic required manually opening multiple pages and reading through them slowly. Now, you can use agents like Manus and Genspark to give you a topic, and they will search, compile, and generate a report for you. For regular data extraction from specific websites, you can use Browse AI to set up automatic extraction and monitoring.

2. Email and Daily Chores (Individual/Team)

Is your inbox always overflowing? Lindy and Bardeen can automatically categorize emails, draft responses, and organize information into spreadsheets, handing over repetitive administrative tasks to agents.

3. Business Development and Outreach (Enterprise)

B2B business development is often time-consuming, especially when it comes to finding leads, doing homework, and writing personalized development emails. AI agents can automatically research potential customers, generate messages tailored to them, and schedule follow-ups, enabling small teams to scale their development efforts.

4. Customer Service Automation (Enterprise)

Large and repetitive customer service volumes are where agents shine. Text-based customer service can use agents to automatically answer questions based on company knowledge. For phone-based customer service, there are voice agents like Vapi and Synthflow that can handle calls, process appointments, and address common issues, escalating to human representatives when needed.

5. Software Development (Software Team)

AI coding agents can now read program libraries, fix bugs, and submit PRs on their own, such as Devin and Jules. When paired with AI editors like Cursor, engineers can offload repetitive tasks to AI and focus on design and review. For further reading: Introduction to AI Coding Assistants.

6. Enterprise Process Automation (Operations)

Connecting multiple systems and AI to create an automated workflow is where agents provide the most practical value. Using n8n, Make, or Gumloop, you can achieve automation like "receiving a form → AI categorization → automatic response → recording to database → notifying the person in charge" across different tools.

Getting Started

We recommend starting with a clear, repetitive, low-risk task, such as automatic complaint sorting or generating social media drafts. First, achieve results and then expand. Remember to set permissions and usage limits, reserving critical decision-making for human confirmation.

Conclusion

The value of AI agents lies not in how intelligent they are, but in whether they can actually help you complete tasks. By choosing one of the six scenarios above that is most relevant to you, you'll see results faster than continuously researching concepts. For further reading: How to Choose AI Agent Tools, All AI Tools Categorized.