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

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

Qwilr
Add the OpenAI GPT Assistants Node
Next, click the plus (+) icon on the Qwilr node, select OpenAI GPT Assistants from the list of available apps, and choose the action you need from the list of nodes within OpenAI GPT Assistants.

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Authenticate OpenAI GPT Assistants
Now, click the OpenAI GPT Assistants node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI GPT Assistants settings. Authentication allows you to use OpenAI GPT Assistants through Latenode.
Configure the Qwilr and OpenAI GPT Assistants 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 Qwilr and OpenAI GPT Assistants 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.

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AI Anthropic Claude 3
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OpenAI GPT Assistants
Trigger on Webhook
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Save and Activate the Scenario
After configuring Qwilr, OpenAI GPT Assistants, 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 Qwilr and OpenAI GPT Assistants integration works as expected. Depending on your setup, data should flow between Qwilr and OpenAI GPT Assistants (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Qwilr and OpenAI GPT Assistants
Qwilr + OpenAI GPT Assistants + Slack: When a Qwilr proposal is accepted, use OpenAI to generate a congratulatory message using the 'Send Message To Assistant (Complete Flow)' action, then post it to a dedicated Slack channel using 'Send Public Channel Message'.
Qwilr + OpenAI GPT Assistants + Google Sheets: When a Qwilr proposal is accepted, use OpenAI to analyze the proposal content with the 'Send Message To Assistant (Complete Flow)' action, extract feedback, then log the insights into a Google Sheet using 'Add Single Row' for reporting.
Qwilr and OpenAI GPT Assistants integration alternatives
About Qwilr
Automate Qwilr quote creation inside Latenode workflows. Automatically generate Qwilr proposals when triggered by new CRM leads or form submissions. Send data to Qwilr, then use Latenode to track views, trigger follow-ups, and update your database—no manual data entry needed. Scale personalized sales flows with ease.
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About OpenAI GPT Assistants
Use OpenAI GPT Assistants within Latenode to automate complex tasks like customer support or content creation. Configure Assistants with prompts and integrate them into broader workflows. Chain them with file parsing, webhooks, or database updates for scalable, automated solutions. Benefit from Latenode's no-code flexibility and affordable execution-based pricing.
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See how Latenode works
FAQ Qwilr and OpenAI GPT Assistants
How can I connect my Qwilr account to OpenAI GPT Assistants using Latenode?
To connect your Qwilr account to OpenAI GPT Assistants on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Qwilr and click on "Connect".
- Authenticate your Qwilr and OpenAI GPT Assistants accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically generate Qwilr proposals from assistant conversations?
Yes, with Latenode you can! Trigger proposal creation in Qwilr based on conversation summaries from OpenAI GPT Assistants. Automate the sales process and save time.
What types of tasks can I perform by integrating Qwilr with OpenAI GPT Assistants?
Integrating Qwilr with OpenAI GPT Assistants allows you to perform various tasks, including:
- Automatically drafting personalized proposal sections based on customer needs.
- Updating Qwilr proposals with insights gleaned from OpenAI GPT Assistant interactions.
- Generating summaries of customer conversations to include in proposal overviews.
- Creating follow-up tasks in a CRM after a Qwilr proposal is sent or accepted.
- Using AI to analyze proposal performance and suggest improvements to the assistant.
Can I use JavaScript code to enhance Qwilr data within Latenode automations?
Yes, Latenode supports JavaScript code blocks. Transform and manipulate Qwilr data for advanced logic before sending it to OpenAI GPT Assistants.
Are there any limitations to the Qwilr and OpenAI GPT Assistants integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex Qwilr templates with custom code might require advanced configuration.
- OpenAI GPT Assistants' rate limits can affect the speed of automated workflows.
- Large-scale data processing may require optimization for optimal performance.