[KongchangAI]
ConceptTrigger / 触发器节点

Trigger

The starting node of an automated workflow, acting as an event listener that waits for preset conditions to be met before launching the entire pipeline. It is divided into three categories: event-driven, time-driven, and state-change-driven.

Core Facts

Timeline (last 90 days)

Oct 19

Coze's trigger feature takes effect only for the Feishu channel; only by publishing the agent to Feishu can trigger tasks be executed automatically and results written to Feishu sheets or documents.

Unverified50%
Oct 19

Before wiring up triggers, one should first list every write the system makes; this is the key to the design.

Unverified50%
Oct 19

Triggers in event-driven architectures cannot distinguish write origin from semantics, which is their inherent limitation.

Unverified50%
Oct 19

Smarter trigger-based filtering approaches (such as filtering by who made the change or checking timestamps) break down when the next write path appears.

Unverified50%
Oct 18

Event-driven triggers can process messages as soon as they arrive, whereas scheduled polling has a latency window.

Unverified50%
Oct 18

The three basic building blocks of workflow automation are Trigger, Logic and Action.

Unverified50%
Oct 14

The key difference between a trigger and an ordinary node is that a trigger does not need upstream input, but is instead awakened by an external event.

Unverified50%
Oct 14

An automated workflow usually starts with a trigger, after which an AI node can be connected to process content, then connected to a spreadsheet or data storage, and finally ends with a notification.

Unverified50%
Oct 9

n8n triggers fall into two major categories: polling-type (such as scheduled triggers) and event-type (such as Webhook triggers and form submission triggers).

Verified70%
Oct 9

Each n8n workflow has one and only one trigger node, which is the sole entry point of the workflow.

Unverified50%

4 more timeline events

All Facts (16)

Verified

Automations are the triggering mechanism of the loop, which can be time-based triggers or event-driven triggers.

75%
Verified

n8n triggers fall into two major categories: polling-type (such as scheduled triggers) and event-type (such as Webhook triggers and form submission triggers).

70%
Verified

The orchestration patterns of production-grade AI agents can be distilled into four types: cross-system multi-step workflow orchestration, policy-constrained action execution, anomaly handling and data validation, and high-concurrency classification and routing.

65%
Unverified

Agent系统中常见的触发器类型包括用户消息、定时任务(Cron表达式)、外部系统回调(Webhook)、Agent间协作和数据变更事件

90%
Unverified

Coze's trigger feature takes effect only for the Feishu channel; only by publishing the agent to Feishu can trigger tasks be executed automatically and results written to Feishu sheets or documents.

50%
Unverified

Triggers in event-driven architectures cannot distinguish write origin from semantics, which is their inherent limitation.

50%
Unverified

Before wiring up triggers, one should first list every write the system makes; this is the key to the design.

50%
Unverified

Smarter trigger-based filtering approaches (such as filtering by who made the change or checking timestamps) break down when the next write path appears.

50%
Unverified

Event-driven triggers can process messages as soon as they arrive, whereas scheduled polling has a latency window.

50%
Unverified

The three basic building blocks of workflow automation are Trigger, Logic and Action.

50%
Unverified

An automated workflow usually starts with a trigger, after which an AI node can be connected to process content, then connected to a spreadsheet or data storage, and finally ends with a notification.

50%
Unverified

The key difference between a trigger and an ordinary node is that a trigger does not need upstream input, but is instead awakened by an external event.

50%
Unverified

Each n8n workflow has one and only one trigger node, which is the sole entry point of the workflow.

50%
Unverified

Triggers are the starting point of AI automation systems, and common types include event-based triggers, scheduled triggers, and conditional triggers.

50%
Unverified

When the backend trigger executes every 30 seconds, it is called 2,880 times per day and 86,400 times over 30 days; changing to once per minute reduces it to 1,440 times per day and 43,200 times over 30 days.

50%
Unverified

Uploading Mini Program code is not the same as deploying cloud functions, and deploying cloud functions is not the same as uploading triggers; triggers must be uploaded separately.

50%

Source Articles