Connect Renderme and Chatlayer to Build Intelligent Automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Bot
Triggered when a new bot is created.
Do thisActions
Action is the task that follows automatically within your Renderme integrations.
Get RenderMe Video or Status
Return the download link for a completed RenderMe video, or the current job status.
Create Video
Create a video from images or clips using a scene-based template.
Send Message
Sends a message to a user through Chatlayer.
Create Channel
Creates a Channel.
Delete Channel
Delete an existing channel.
Extract NLP Result
Extract results from the Chatlayer NLP models of your bots.
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Frequently Asked Questions
To start, connect both your Renderme and Chatlayer accounts to viaSocket. Once connected, you can set up a workflow where an event in Renderme triggers actions in Chatlayer (or vice versa).
Absolutely. You can customize how Renderme data is recorded in Chatlayer. This includes choosing which data fields go into which fields of Chatlayer, setting up custom formats, and filtering out unwanted information.
The data sync between Renderme and Chatlayer 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 Renderme and Chatlayer. 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.
About Renderme
Renderme is a platform that allows users to create and manage high-quality visual content, making it easy to produce stunning graphics and designs for various applications.
Learn MoreAbout Chatlayer
Chatlayer is a powerful AI-driven platform designed to create, manage, and optimize chatbots for various communication needs. It enables businesses to automate customer interactions, enhance user engagement, and improve customer support through intelligent conversational agents.
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