How to connect OpenAI ChatGPT and Streamtime
Create a New Scenario to Connect OpenAI ChatGPT and Streamtime
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 Streamtime will be your first step. To do this, click "Choose an app," find OpenAI ChatGPT or Streamtime, 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 Streamtime Node
Next, click the plus (+) icon on the OpenAI ChatGPT node, select Streamtime from the list of available apps, and choose the action you need from the list of nodes within Streamtime.

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Streamtime
Authenticate Streamtime
Now, click the Streamtime node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Streamtime settings. Authentication allows you to use Streamtime through Latenode.
Configure the OpenAI ChatGPT and Streamtime 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 Streamtime 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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Streamtime
Trigger on Webhook
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OpenAI ChatGPT
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Webhook response
Save and Activate the Scenario
After configuring OpenAI ChatGPT, Streamtime, 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 Streamtime integration works as expected. Depending on your setup, data should flow between OpenAI ChatGPT and Streamtime (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 Streamtime
Streamtime + OpenAI ChatGPT + Google Sheets: When a job is completed in Streamtime, the details are sent to OpenAI ChatGPT to generate a summary of feedback and insights. This summary is then logged in a Google Sheet for tracking and analysis.
Streamtime + OpenAI ChatGPT + Slack: When a job is updated in Streamtime, the details are sent to OpenAI ChatGPT to generate a project update summary. This summary is then sent to a designated Slack channel for team briefings.
OpenAI ChatGPT and Streamtime 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.
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About Streamtime
Streamtime project management inside Latenode: automate tasks like invoice creation based on project status, or sync time entries with accounting. Connect Streamtime to other apps via Latenode's visual editor and AI tools. Customize further with JavaScript for complex workflows. Manage projects and data automatically.
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FAQ OpenAI ChatGPT and Streamtime
How can I connect my OpenAI ChatGPT account to Streamtime using Latenode?
To connect your OpenAI ChatGPT account to Streamtime 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 Streamtime accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate project report generation?
Yes, you can. Latenode lets you use OpenAI ChatGPT to analyze Streamtime project data and automatically generate insightful reports. Benefit from custom AI and data-driven automation.
What types of tasks can I perform by integrating OpenAI ChatGPT with Streamtime?
Integrating OpenAI ChatGPT with Streamtime allows you to perform various tasks, including:
- Automatically generating creative briefs from project outlines.
- Summarizing lengthy client communications for quick reviews.
- Creating personalized thank-you notes after project completion.
- Predicting potential project delays based on communication patterns.
- Classifying project tasks using AI-driven text analysis.
Can I use custom OpenAI ChatGPT models with Streamtime workflows?
Yes, Latenode supports custom OpenAI ChatGPT models. Integrate them for specialized tasks and enhanced control over your Streamtime automations.
Are there any limitations to the OpenAI ChatGPT and Streamtime integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits apply based on your OpenAI ChatGPT subscription tier.
- Complex data transformations may require JavaScript coding.
- Large data volumes might impact workflow execution speed.