Setting Up Insight
To start capturing insights, you need to define “Parameters” in your Recipe Settings. Each parameter acts as a specific instruction to the AI on what information to look for in the conversation.Configuration Steps
Navigate to Insight
Open your Recipe and click on the Global Settings and navigate to Post-Call Insights tab.
Define Variable Details
- Name: The system name for the variable (e.g.,
loan_interest_level). This is used in API/Webhooks. - Description: The “Prompt” for the AI. Be descriptive! (e.g., “Did the user express interest in a Gold Loan? Check for phrases like ‘I want money’ or ‘Loan chahiye’.”)
- Type: Select the data format (see below).
Data Types
Choosing the right data type ensures your Voice AI Agents return clean, usable data for your integrations.| Type | Description | Best Use Case |
|---|---|---|
| Text | Extracts a string of text (max 300 chars). | ”Summarize the customer’s complaint about the credit card.” |
| Boolean | Returns true or false. | ”Did the customer ask for a manager?” |
| Number | Extracts a numeric value. | ”What is the customer’s age?” or “Loan amount requested?” |
| Date | Extracts dates in a standard format. | ”When does the user want the callback?” |
| Enum | Selects from a predefined list of options. | Lead Status: ["Qualified", "Not Interested", "Callback"] |
Pro Tip for Indian Languages: When writing descriptions for Hinglish agents, you can include Hindi keywords in the description to help the AI understand context (e.g., “Check if user said ‘Haan’ or ‘Yes’ for confirmation”).