whatsapp-automation

Automating WhatsApp Web message drafting with human approval involves using Playwright to monitor chats, generating AI replies based on keywords, and requiring manual review before sending messages through an MCP server. This approach ensures compliance and accuracy in business messaging scenarios.

Yes, you can use Playwright to monitor WhatsApp Web for specific keywords. The watcher scans incoming messages, prioritizes them based on configured keywords, and triggers AI draft generation for human review, enabling efficient business messaging workflows.

Yes, an MCP server is required to send automated WhatsApp messages in this setup. It handles session management using QR authentication and dispatches the human-approved AI drafts, ensuring secure and controlled message delivery through the browser automation layer.

Human-in-the-loop approval for WhatsApp chatbot replies works by generating AI drafts that pause for manual review. A human operator inspects the AI-generated response to the detected keyword, approves it, and then the system sends the message via the MCP server.

The best way to manage WhatsApp Web sessions for browser automation is using QR-based authentication with Playwright. This ensures session persistence, allowing the watcher to maintain an active connection for continuous keyword detection and draft generation without repeated logins.

Limitations of AI-assisted WhatsApp automation include the mandatory human review step for every draft, which can slow down high-volume messaging. Additionally, it relies on stable Playwright browser sessions and active WhatsApp Web QR authentication to function correctly.