Integrate Teachfloor with ngram to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
View Video Status in Ngram when Course Updated in Teachfloor
View Video Status in Ngram when Module Is Created in Teachfloor
Create Video From Text using Ngram when Module Is Created in Teachfloor
Create Video From Text using Ngram when Element Is Created in Teachfloor
Invite User By Email to Teachfloor when When a video is completed in Ngram
Start from a real workflow other teams are already running.
Teachfloor
When this happens...
Course Updated
Module Is Created
Element Is Created
ngram
Automatically do this!
View Video Status
Create Video From Text
View Video Status in Ngram when Course Updated in Teachfloor
Use this flowView Video Status in Ngram when Module Is Created in Teachfloor
Use this flowCreate Video From Text using Ngram when Module Is Created in Teachfloor
Use this flowCreate Video From Text using Ngram when Element Is Created in Teachfloor
Use this flowInvite User By Email to Teachfloor when When a video is completed in Ngram
Use this flowCreate Video From Text using Ngram when Course Updated in Teachfloor
Use this flowView Video Status in Ngram when Element Is Created in Teachfloor
Use this flowEverything you can automate between Teachfloor and ngram.
When this happensTriggers
A trigger is an event that starts a workflow.
Runs when course is updated
Runs when module is created
Runs when element is created
Runs the workflow automatically whenever a video is completed.
Action is the task that follows automatically within your Teachfloor integrations.
Send invite to join org/course
View a video's processing state and progress (queued, processing, failed, or ready to download).
Create an on-brand video from a text prompt; set duration and aspect ratio, and optionally send a webhook when the video is ready.

Follow a simple walkthrough to create, test, and launch your first automation.
Connect your apps
Link the apps you want to automate.
Configure your workflow
Set up triggers, actions, and map your data.
Test & publish
Test your workflow and publish it.
Recognized by leading review platforms and trusted by 10,000+ businesses worldwide.
Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.

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Teachfloor is an online cohort-based courses platform that allows any instructors to set up in just one-click their own online live academy
Learn moreNgram is an AI-powered video creation platform for product and marketing teams. It turns docs, URLs, PDFs, images, and screen recordings into polished, on‑brand videos by handling research, storyboarding, scripting, voiceover, and motion graphics while you control audience, goal, style, and length. Features include brand kits, captions, multi-aspect exports (16:9, 9:16, 1:1), and upcoming smart screen-recording edits—ideal for product demos, feature announcements, explainers, onboarding, and social clips.
Learn moreSign up for a free viaSocket account, then authorize both your Teachfloor and ngram accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between Teachfloor and ngram as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach ngram. No coding required.
Yes. You can set up a workflow where Teachfloor triggers actions in ngram, and a separate workflow where ngram triggers actions in Teachfloor. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between Teachfloor and ngram. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Teachfloor and ngram integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.