What does an Agent actually do?
In enterprises, an Agent usually: understands the question, decides whether to call an allowed tool, and turns results into a reply or draft—e.g. look up internal docs, draft a support reply, or organize a CRM record.
Unlike chat-only bots, it has tools. Unlike fully autonomous software: the tool list, permissions, and which steps must stop for a human are all defined up front.
What fits and what doesn’t
Fits query, summary, classification, and drafts awaiting human confirmation. Doesn’t fit unreviewed refunds, payroll changes, placing orders, or medical / financial decisions.
If the ask is “build something like ChatGPT that also learns the whole company,” reframe into acceptable scope: where data comes from, which APIs can be called, and who owns mistakes.
Author
葉科技
With 13+ years of software development experience, we focus on AI system integration and Web systems. Founded in 2022, our work includes our own AI video SaaS (Mofly AI), a personality-quiz Web product (MindTest AI), an enterprise AI assistant (Leaf AI Workspace), membership and inventory systems and admin backends, plus embedding recognition capabilities into existing products.
FAQ
Can an Agent call APIs wildly on its own?
That risk exists—so production systems only expose whitelist tools and log every call. High-risk actions become to-dos instead of direct execution.
Next, see AI Agent Development.