Deploy a Google Gemini AI assistant on WhatsApp with email & calendar tools

Deploy a Multi-Tool AI Assistant on WhatsApp with Google Gemini

Deploy a true AI assistant on WhatsApp. This n8n workflow uses a sophisticated hierarchical agent structure to not only handle conversations but also manage your emails and calendar directly from your chat, all powered by Google Gemini.

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Key Features - Powered by Google Gemini: Utilizes the advanced capabilities of Google's Gemini models for understanding complex commands and generating natural, human-like responses. - Intelligent Task Delegation (Hierarchical Agents): Features a central Personal Agent that understands the user's intent and intelligently delegates tasks to specialized sub-agents for email, calendar, or general chat. - Full Email & Calendar Management: Connects directly to your Google Workspace to send emails, create drafts, apply labels, create/update/delete calendar events, check your availability, and more. - Context-Aware Conversations: Employs memory at multiple levels, allowing the assistant to remember the context of your requests for a coherent and intuitive user experience. - Seamless WhatsApp Integration: Connects directly with the WhatsApp Business API to send and receive messages, engaging users on one of the world's most popular messaging platforms. - Easy to Deploy & Customize: Get your assistant running with minimal configuration and easily extend its capabilities by adding new tools or modifying the prompts of the existing agents.

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How It Works

The workflow uses an advanced agent-based model to process incoming messages:

1. The Whatsapp Trigger node listens for and receives new messages sent to your WhatsApp Business number. 2. The message is passed to the main Manager Agent. 3. The Personal Agent analyzes the message to understand the user's intent (e.g., "send an email," "check my schedule," or just "hello"). 4. Based on the intent, it routes the task to the appropriate sub-agent: the Email Tool, the Calendar Tool, or the general Chatbot Model. 5. The selected sub-agent executes the task using its own dedicated tools (e.g., the Email Tool uses Gmail nodes to send a message). 6. The result or response from the sub-agent is passed back to the Send message (WhatsApp) node, which delivers the reply to the user.