How to connect OpenAI ChatGPT and Grist
Create a New Scenario to Connect OpenAI ChatGPT and Grist
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 OpenAI ChatGPT, triggered by another scenario, or executed manually (for testing purposes). In most cases, OpenAI ChatGPT or Grist will be your first step. To do this, click "Choose an app," find OpenAI ChatGPT or Grist, and select the appropriate trigger to start the scenario.

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

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

OpenAI ChatGPT
⚙
Grist
Authenticate Grist
Now, click the Grist node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Grist settings. Authentication allows you to use Grist through Latenode.
Configure the OpenAI ChatGPT and Grist 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 OpenAI ChatGPT and Grist 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
⚙
Grist
Trigger on Webhook
⚙
OpenAI ChatGPT
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring OpenAI ChatGPT, Grist, 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 OpenAI ChatGPT and Grist integration works as expected. Depending on your setup, data should flow between OpenAI ChatGPT and Grist (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect OpenAI ChatGPT and Grist
OpenAI ChatGPT + Grist + Slack: Summarize new customer feedback using ChatGPT, store the summary along with the original feedback in a Grist table, and then notify the product team about the new feedback via a Slack channel message.
Grist + OpenAI ChatGPT + Google Sheets: When new records are created or updated in a Grist table, analyze the data using ChatGPT, and then save the insights into a Google Sheets spreadsheet.
OpenAI ChatGPT and Grist integration alternatives
About OpenAI ChatGPT
Integrate ChatGPT into Latenode for automated content generation, sentiment analysis, and smart replies. Create workflows that analyze text, classify data, and personalize customer interactions. Combine AI power with Latenode's flexibility: orchestrate complex processes, manage data flow, and connect to any app via API—all without code.
Similar apps
Related categories
About Grist
Use Grist in Latenode to build custom data dashboards and manage complex data sets within your automation workflows. Trigger flows based on Grist updates, or write data back to Grist after processing. Add custom logic with JavaScript and scale without per-step fees, creating powerful data-driven automations.
Related categories
See how Latenode works
FAQ OpenAI ChatGPT and Grist
How can I connect my OpenAI ChatGPT account to Grist using Latenode?
To connect your OpenAI ChatGPT account to Grist on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenAI ChatGPT and click on "Connect".
- Authenticate your OpenAI ChatGPT and Grist accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically summarize new Grist entries using OpenAI ChatGPT?
Yes, you can! Latenode's visual editor makes it easy to trigger OpenAI ChatGPT summaries whenever a new row is added to Grist, streamlining your data processing workflow.
What types of tasks can I perform by integrating OpenAI ChatGPT with Grist?
Integrating OpenAI ChatGPT with Grist allows you to perform various tasks, including:
- Categorizing Grist entries using OpenAI ChatGPT's natural language understanding.
- Generating personalized email drafts based on data in Grist.
- Translating Grist data into multiple languages using OpenAI ChatGPT.
- Analyzing sentiment within Grist data to improve customer support.
- Enriching Grist data with external insights from OpenAI ChatGPT.
How scalable is the OpenAI ChatGPT integration within Latenode?
Latenode offers advanced scaling options allowing you to efficiently handle large volumes of OpenAI ChatGPT requests. Process gigabytes of data without writing any extra code.
Are there any limitations to the OpenAI ChatGPT and Grist integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of the OpenAI ChatGPT API may apply depending on your plan.
- Large data transfers between Grist and OpenAI ChatGPT may incur processing delays.
- Custom JavaScript code requires technical expertise for advanced use cases.