Coze: How to publish AI agents to Feishu and WeChat without writing code

Coze (Chinese name "Coze", domestic version coze.cn, overseas version coze.com) is ByteDance's answer to "Everyone can make an AI agent". It pushes the threshold for building a Bot to the extreme: without writing a line of code, you can build, publish and operate an AI agent that can work and connect to channels.

Dismantling of core capabilities: What a Bot platform should have

Coze's abilities can be summarized into six parts:

• Code-free construction process: Visual configuration, even non-technical users can get started.
• Plug-in System: Access external tools and data sources to expand the boundaries of Bot capabilities.
• Workflow Orchestration: Arrange multi-step tasks into a deterministic execution process.
• Knowledge Base: Inject private knowledge so that Bot answers are well-founded.
• Database memory: records user and business data to support long-term sessions.
• Multi-model access: No single model is locked, and models can be selected according to the scenario.

The most practical point is one-click publishing: the built Bot can be directly published to multiple channels such as Feishu, WeChat, Discord, Telegram, etc., bridging the gap between "making a good Bot" and "letting the Bot reach users".

Positioning in Byte AI Ecosystem

From the perspective of Byte's AI landscape, Coze assumes the role of "agent production layer" for developers, forming synergy with Doubao (C-side assistant), Jimeng (AI creation), and Volcano Engine (models and cloud services). It is not an isolated toy, but a connecting link in Byte's "model capabilities → intelligent products → channel distribution" chain.

Enterprise-level value in the context of stricter compliance

A noteworthy background is: Domestic AI intelligent agent supervision will become stricter in 2026, and 36Kr reported that intelligent agent products such as Doubao and Qianwen will face regulatory compliance requirements. In such an environment, the value of Coze as an enterprise-level Bot platform is highlighted - enterprises can implement agents within the compliance framework provided by the platform, combining "rapid construction" with "compliance and controllability". For domestic developers, Coze also provides a window to observe "how to productize AI agents": its workflow, knowledge base and multi-channel release combination are almost the standard template for current intelligent agent products.

Several directions worth tracking in the future:

1. Richness of the plug-in ecosystem: The quantity and quality of third-party plug-ins determine the upper limit of Bot's capabilities.
2. Implementation of compliance capabilities: How enterprise-level control, data isolation and content review adapt to regulatory requirements.
3. Binding with the Volcano Engine model: Whether the byte system model will be promoted first, affecting the openness of multiple models.
4. The emergence of hot-selling Bots on the C side: Can the platform produce head-on agents with real user value?