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Use AI Agent and Enrich Layer together to build smarter chatbots, where AI responses are enhanced with real-time data. Latenode lets you visually build this integration with no-code ease, scale reliably, and customize anything with JavaScript.
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Create a New Scenario to Connect AI Agent and Enrich Layer
In the workspace, click the βCreate New Scenarioβ button.
Add the First Step
Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a AI Agent, triggered by another scenario, or executed manually (for testing purposes). In most cases, AI Agent or Enrich Layer will be your first step. To do this, click "Choose an app," find AI Agent or Enrich Layer, and select the appropriate trigger to start the scenario.
Add the AI Agent Node
Select the AI Agent node from the app selection panel on the right.
AI Agent
Configure the AI Agent
Click on the AI Agent node to configure it. You can modify the AI Agent URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Enrich Layer Node
Next, click the plus (+) icon on the AI Agent node, select Enrich Layer from the list of available apps, and choose the action you need from the list of nodes within Enrich Layer.
AI Agent
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Enrich Layer
Authenticate Enrich Layer
Now, click the Enrich Layer node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Enrich Layer settings. Authentication allows you to use Enrich Layer through Latenode.
Configure the AI Agent and Enrich Layer 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 AI Agent and Enrich Layer Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Enrich Layer
Trigger on Webhook
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AI Agent
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring AI Agent, Enrich Layer, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the AI Agent and Enrich Layer integration works as expected. Depending on your setup, data should flow between AI Agent and Enrich Layer (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Salesforce + Enrich Layer + AI Agent: When a new lead is created in Salesforce, the lead's information is sent to Enrich Layer to gather additional data. This enriched data is then sent to the AI Agent to analyze sentiment and potential value. Finally, Salesforce is updated with this analysis to prioritize leads.
Enrich Layer + AI Agent + Slack: When a new user is added to a system, Enrich Layer enriches the new user's data. The enriched data is then sent to the AI Agent to determine the sentiment. If the sentiment is negative, a message is sent to a dedicated Slack channel alerting the team.
About AI Agent
Use AI Agent in Latenode to automate content creation, data analysis, or customer support. Configure agents with prompts, then integrate them into workflows. Unlike standalone solutions, Latenode lets you connect AI to any app, scale automatically, and customize with code where needed.
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About Enrich Layer
Enrich Layer inside Latenode automates data validation and enhancement. Fix errors and add missing info to leads or contacts. Clean up data from any source before it reaches your CRM or database. Latenode handles complex logic and scales the process without per-step costs, keeping data accurate and workflows efficient.
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How can I connect my AI Agent account to Enrich Layer using Latenode?
To connect your AI Agent account to Enrich Layer on Latenode, follow these steps:
Can I enrich AI Agent outputs with real-time data using Enrich Layer?
Yes, with Latenode you can seamlessly enrich AI Agent data using Enrich Layer's real-time information, improving accuracy and contextual relevance of AI-driven insights.
What types of tasks can I perform by integrating AI Agent with Enrich Layer?
Integrating AI Agent with Enrich Layer allows you to perform various tasks, including:
Can I use JavaScript to customize my AI Agent workflows on Latenode?
Yes, Latenode allows full JavaScript integration, letting you tailor AI Agent logic, handle complex data transformations, and build advanced automations.
Are there any limitations to the AI Agent and Enrich Layer integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: