@devMax
To send back a response to your webhook so that the AI can use the returned data as context for answering upcoming questions, you'll need to follow these steps:
1. **Receive the Webhook Request**: Your webhook endpoint should be set up to receive requests from make.com. When a user wants to book a service, make.com will trigger the webhook with the relevant data.
2. **Process the Data**: Once your webhook receives the data, you'll need to process it according to your application's logic. This might involve parsing the data, storing it, or performing some calculations.
3. **Respond to the Webhook**: After processing the data, you'll need to send a response back to the webhook. This response should be in a format that your AI can understand and use as context. Typically, this would be a JSON object containing the contextual data.
4. **Use the Contextual Data**: When the AI receives a new user question, it should refer to the contextual data that was sent in the response to the webhook. This data will inform the AI's response to the user's query.
Here's a simplified example of how you might structure your webhook response with contextual data in JSON format:
json
{
"serviceDetails": {
"serviceName": "House Cleaning",
"serviceDate": "2023-05-15",
"serviceTime": "14:00",
"additionalNotes": "Please focus on the kitchen and bathrooms."
}
}
When the AI receives a user's question, it can refer to this
serviceDetails
object to provide answers that are informed by the context of the user's booked service.
If you have any specific questions about how to implement this in your system or if you encounter any issues, please feel free to ask for more information.