Build an AI Agent in 5 Minutes with Coze: A Beginner’s Low‑Code Guide

Coze Agent Creation Methods

Coze provides three ways to create agents: AI Auto‑Build, Template‑Based Build, and Standard Flow Build.

AI Auto‑Build (Zero‑Code)

Open https://www.coze.cn/home, register, click the Create button and select Create Agent .

In the dialog choose the AI Create tab, enter a description such as “I want a helper that plans travel itineraries, fetches real‑time flight and hotel information, and provides rich travel guides”, then click Generate . Coze automatically creates an agent, selects a large model, sets the persona and response logic, and attaches relevant plugins (flight‑search, travel‑planner, hotel‑booking).

Test the generated agent in the preview panel.

Click Publish , choose a publishing channel (e.g., Doubao, WeChat Mini‑Program), and confirm.

The published agent appears in the selected channel and can be interacted with on mobile.

Template‑Based Build (Learning by Imitation)

From the Coze homepage click the Template Store and select the official “Image Generator” agent.

Click Copy , choose a workspace, and confirm.

The copied agent appears in the personal workspace and can be further edited (modify workflow, add plugins, republish).

Standard Flow Build (Advanced)

Example: NBA news‑push agent.

Open https://www.coze.cn/home, click Create → Create Agent , then select the Standard Create tab. Fill in the agent name, description, workspace, and icon, then click Confirm .

Write a detailed prompt defining the persona and response logic. Coze also offers an “auto‑optimize prompt” button.

Add plugins: Current Time and Headline News to obtain the current time and NBA headlines.

Optionally set opening questions so users can click predefined queries.

Configure additional components such as knowledge bases, databases, workflows, variables, or triggers as needed.

Test the agent: it first calls the time plugin, then the news plugin, returning the expected results.

Publish the agent; a link is generated for immediate use.

The testing step is analogous to LangGraph’s create_react_agent API, which also builds agents by specifying prompts, models, and tool functions.

Summary

Coze’s low‑code framework enables users without programming skills to create functional AI agents quickly via AI auto‑generation, template reuse, or a full standard workflow. Simple scenarios are well served by the first two methods, while complex agents benefit from the granular control of the standard flow, combining large models, plugins, databases, and custom logic.