AI Voice Assistant for Seamless Email & Calendar Automation

Transform your voice into professional emails and calendar events with this intelligent AI assistant workflow that combines Whisper speech recognition, local LLMs, and Telegram integration for safe, automated productivity management.

What this workflow does

This AI voice assistant streamlines your communication and scheduling workflow through intelligent automation:

• Receives voice messages through Telegram and transcribes them using Whisper API
• Analyzes intent using AI classification to determine if you need an email, calendar event, or simple chat response
• Generates professional emails with proper tone and formatting using local LLM (Ollama)
• Creates structured calendar events from natural language descriptions
• Requests human approval before executing any actions for complete control
• Automatically sends emails via Gmail integration or schedules calendar events
• Processes everything through self-hosted systems for enhanced privacy and security

Use cases

Perfect for busy professionals and automation enthusiasts who need:

• Personal AI executive assistant for managing daily communications
• Voice-driven meeting scheduling automation while on the go
• Quick email drafting and sending during commutes or busy periods
• Safe automation with approval workflows for business communications
• Private, self-hosted alternative to cloud-based AI assistants

Technical details

Built with essential n8n nodes including:

• Telegram integration for voice input and approval workflows
• Code nodes for Whisper API speech-to-text processing
• IF nodes for intelligent intent classification and routing
• Gmail integration for automated email sending
• No Op nodes for workflow control and testing
• Sticky notes for clear workflow documentation

This workflow leverages local LLM processing through Ollama and self-hosted Whisper API, ensuring your sensitive communications remain private while delivering enterprise-grade automation capabilities. The approval-gated execution model provides the perfect balance between automation efficiency and human oversight.