The “#70 – template ByteGPT” refers to a predefined template provided by Bytebio to facilitate installation and configuration of the ByteGPT in CRM Kommo. This template includes a series of flows, custom fields and pre-established settings that allow users to quickly start using the ByteGPT for automating responses and interactions with customers through Natural Language Processing (NLP) technology.
Here is a summary of how it works:
Start of the process: The bot is activated and waits for a message from the user. This is the initial stage where the system prepares to receive input.
Message Reception: As soon as a message is received, it is identified and stored in the “GPT | Message received”, which serves as the basis for creating the prompt sent to GPT.
Creating and Sending the Prompt: The prompt is formulated based on the user's message and sent for analysis by GPT through a webhook. This is the heart of the process, where the AI analyzes the request.
Reception and Analysis of GPT Response: The response generated by GPT is received and evaluated by the system. Based on this analysis, the bot decides the subsequent action.
User Response: Depending on the analysis of the GPT response, the bot can respond directly to the user, adjust information in the CRM, or even change the status of the dialog.
State and Error Management: The bot has mechanisms to handle identified errors and to manage the state of the dialog, being able to pause or stop the flow as necessary.
Finishing: When completing processing the response or reaching the end of the dialog, the bot can be configured to pause or end its execution, waiting for new interactions.
I must emphasize that this explanation is a general summary and that specific functionalities may vary depending on the personalized settings of your environment in Kommo. If you require additional assistance or would like to explore customization options, we recommend contacting Technical Support at Bytebio for detailed guidance.
How the template's main fields work:
- “Prompt” (for GPT commands)
- “Answer” (shows GPT’s answer)
- “Message Received” (controls GPT responses).
- Importance of the “GPT Log” to monitor requests and identify technical problems.
- How the template processes messages in real time, using an “intent detector” to classify and respond to user messages more effectively.
- Template interaction with “SalesBot”, automating the communication flow with the user and allowing customizations according to business needs.
- Ability to adapt the template, demonstrating its usefulness in different usage scenarios.