How to connect Lessonspace and OpenAI Vision
Create a New Scenario to Connect Lessonspace and OpenAI Vision
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Lessonspace, triggered by another scenario, or executed manually (for testing purposes). In most cases, Lessonspace or OpenAI Vision will be your first step. To do this, click "Choose an app," find Lessonspace or OpenAI Vision, and select the appropriate trigger to start the scenario.

Add the Lessonspace Node
Select the Lessonspace node from the app selection panel on the right.

Lessonspace
Configure the Lessonspace
Click on the Lessonspace node to configure it. You can modify the Lessonspace URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the OpenAI Vision Node
Next, click the plus (+) icon on the Lessonspace node, select OpenAI Vision from the list of available apps, and choose the action you need from the list of nodes within OpenAI Vision.

Lessonspace
⚙
OpenAI Vision
Authenticate OpenAI Vision
Now, click the OpenAI Vision node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI Vision settings. Authentication allows you to use OpenAI Vision through Latenode.
Configure the Lessonspace and OpenAI Vision Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Lessonspace and OpenAI Vision Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

JavaScript
⚙
AI Anthropic Claude 3
⚙
OpenAI Vision
Trigger on Webhook
⚙
Lessonspace
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring Lessonspace, OpenAI Vision, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Lessonspace and OpenAI Vision integration works as expected. Depending on your setup, data should flow between Lessonspace and OpenAI Vision (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Lessonspace and OpenAI Vision
Lessonspace + Google Sheets: When a new row is added to a Google Sheet indicating an image needs review, the workflow fetches data from Lessonspace and updates the sheet with session details.
Lessonspace + Slack: When a new message is posted to a Lessonspace channel, trigger a Slack notification to a specified channel. This allows for monitoring of activity and potential inappropriate content.
Lessonspace and OpenAI Vision integration alternatives
About Lessonspace
Automate Lessonspace session management inside Latenode. Trigger meetings based on CRM data, automatically create follow-up tasks, and log attendance. Integrate with billing and email systems for a seamless user experience. Using Latenode, you reduce manual admin and create workflows that connect learning platforms with other key business tools, scaling onboarding and education efforts.
Similar apps
Related categories
About OpenAI Vision
Use OpenAI Vision in Latenode to automate image analysis tasks. Detect objects, read text, or classify images directly within your workflows. Integrate visual data with databases or trigger alerts based on image content. Latenode's visual editor and flexible integrations make it easy to add AI vision to any process. Scale automations without per-step pricing.
Similar apps
Related categories
See how Latenode works
FAQ Lessonspace and OpenAI Vision
How can I connect my Lessonspace account to OpenAI Vision using Latenode?
To connect your Lessonspace account to OpenAI Vision on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Lessonspace and click on "Connect".
- Authenticate your Lessonspace and OpenAI Vision accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically moderate content shared in Lessonspace?
Yes, you can! Use Latenode to trigger OpenAI Vision analysis when content is shared, filtering inappropriate material in real-time. Benefit from automated moderation and safer learning environments.
What types of tasks can I perform by integrating Lessonspace with OpenAI Vision?
Integrating Lessonspace with OpenAI Vision allows you to perform various tasks, including:
- Analyze uploaded images in Lessonspace for content compliance automatically.
- Detect objects in whiteboard screenshots to categorize learning sessions.
- Extract text from handwritten notes shared in Lessonspace spaces.
- Moderate shared links for malicious content using visual website previews.
- Identify and flag inappropriate drawings created during lessons.
How does Latenode enhance Lessonspace automation capabilities?
Latenode enables advanced workflows beyond basic integrations with visual logic, custom code, AI steps, and scalable infrastructure for complex automations.
Are there any limitations to the Lessonspace and OpenAI Vision integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- OpenAI Vision has usage-based pricing, which may affect the cost of high-volume analysis.
- Real-time image analysis speed depends on OpenAI Vision's processing capacity.
- Complex or highly detailed images may require advanced prompt engineering for accurate analysis.