Design and Step-by-Step Implementation of a Grok (xAI)–Based AI Agent for WhatsApp Message Variant Generation

Design and Step-by-Step Implementation of a Grok (xAI)–Based AI Agent for WhatsApp Message Variant Generation

With the increasing use of conversational automation, generating human-like and non-repetitive messages has become a critical challenge, particularly in WhatsApp-based systems where repetitive content may lead to account restrictions. This article presents a step-by-step academic guide for integrating the Grok (xAI) large language model as an AI agent to generate message variants for WhatsApp automation using the Baileys library. The proposed system separates message intelligence from message delivery, ensuring scalability, safety, and maintainability. The guide is intended for students and developers seeking a practical yet conceptually sound approach to AI-driven messaging systems.

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