ARTICLE AD BOX
I am studying Python automation and AI, and I would like to understand what is technically possible and safe when it comes to automating message replies on WhatsApp or whatsapp web .
My goal is not spam or commercial use. This is purely an educational and personal project.
Specifically, I would like to experiment with an AI that can help reply to normal, casual conversations, for example messages from my girlfriend, when I am busy.
What I am trying to understand:
Is it feasible to use WhatsApp Web automation (e.g. Selenium) combined with an AI model to read and reply to messages?
Is it better to train a small local model, or to use a pre-trained model (LLM) with prompts and limited context?
How can this be done while minimizing security and privacy risks, such as:
leaking personal conversations
exposing API keys
risking WhatsApp account bans
Are there best practices to make the automation behave more “human” (delays, limited usage, context window)?
Would using a local/offline model be significantly safer than using an external API?
I am aware that:
WhatsApp does not provide an official API for personal accounts
Automation via WhatsApp Web may violate terms of service
This should be used with extreme moderation and only for learning
I am not asking for a way to bypass safeguards, but for architectural guidance, security considerations, and whether this approach makes sense from a technical standpoint.
Any insights, warnings, or recommended architectures would be appreciated.
