Build your first AI Agent using WhatsApp and ChatGPT with no Code in n8n #aiautomation

This implementation utilizes n8n as the primary orchestration engine to bridge WhatsApp and OpenAI's Chat Completions API. The workflow begins with a Webhook node that listens for incoming messages, followed by a data transformation layer to extract the sender's ID and message payload. The core logic involves an AI Agent node configured with a specific System Prompt and memory buffer to maintain conversational context across stateless HTTP requests. The integration requires configuring environment variables for API keys and setting up persistent memory to store session history. Developers must handle the asynchronous nature of the WhatsApp API, ensuring responses are sent back through a POST request to the messaging endpoint. This setup allows for complex tool-calling capabilities, enabling the agent to interact with external APIs or databases based on user intent.