
When this happens...
New or Changed Collection
New or Updated Card
Attached or Detached Label on a Card
Attached or Detached Resource on a Card
New or Changed Comment
Card Deleted
Collection Deleted
Automatically do this!
Send Message To AI
Call AI Agent Instantly
Setup Webhook for Alert
Call AI Agent in Background
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new collection is added or changed.
Triggers when a card is added or updated.
Triggers when a label is attached or detached from a card.
Triggers when a resource is attached or detached from a card.
Triggers when a new comment is added or changed.
Triggers when a card is deleted.
Action is the task that follows automatically within your vPlan integrations.
Create a new Activity.
Create a new resource.
Sends a message to the selected AI agent and returns its reply.
Runs immediately and returns a response within the flow. Uses fast-response models.
You can setup your webhook to get alert notifications.
Runs asynchronously in the background. Response is not available in real time and may take a few minutes.

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To start, connect both your vPlan and Gtwy accounts to viaSocket. Once connected, you can set up a workflow where an event in vPlan triggers actions in Gtwy (or vice versa).
Absolutely. You can customize how vPlan data is recorded in Gtwy. This includes choosing which data fields go into which fields of Gtwy, setting up custom formats, and filtering out unwanted information.
The data sync between vPlan and Gtwy typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between vPlan and Gtwy. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
AI Middleware is a platform designed to facilitate seamless integration and interaction between artificial intelligence systems and other software applications. It acts as an intermediary layer that simplifies the communication and data exchange processes, enabling developers to build more efficient and scalable AI-driven solutions.
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