AURA AI Receptionist
AI receptionist backend that turns Vapi voice tool-calls into onboarding email and calendar actions, with instant responses and background processing.
Live AI receptionist (getaura.lu) that secured 2 enterprise clients; handles voice-agent tool calls, webhook reliability, onboarding email, and calendar scheduling.
AURA AI Receptionist is an AI automation webhook service built around Vapi.ai tool calls. The backend receives structured voice-agent actions, returns a quick success response so the call experience does not stall, then completes the real work in the background.
The public value is practical AI integration. Now live at getaura.lu with 2 enterprise clients secured, AURA connects a Vapi voice agent to transactional onboarding email through Postmark and calendar scheduling through Google Calendar, with secrets and service credentials isolated through environment configuration.
Tech Stack
Key Features
- Express webhook endpoint for Vapi.ai tool-call payloads
- Immediate JSON response path to avoid blocking the voice assistant
- Background processing for real email and calendar actions
- Postmark onboarding email flow for send_link intent
- Google Calendar invite creation for book_call intent
- Health endpoint and environment-driven service configuration
Technical Highlights
- Node.js and Express service with JSON middleware
- Vapi tool-call parsing and response formatting
- Postmark ServerClient integration for transactional email
- Google Calendar API service-account flow for event creation
- process.nextTick used to decouple webhook acknowledgement from slower side effects
- Public-safe architecture representation for private automation work
Architecture
Voice-Agent Webhook
- Receive a Vapi message payload
- Extract tool call ID, business name, email, phone, and intent
- Return the tool result immediately to keep the call moving
Automation Actions
- send_link routes to the Postmark onboarding email path
- book_call routes to Google Calendar event creation
- Background errors are logged without breaking the initial voice response
Challenges & Solutions
Designing AI voice automation around latency-sensitive webhooks
Keeping external side effects out of the synchronous response path
Handling transactional email and calendar credentials responsibly
Explaining private automation work without exposing sensitive deployment details
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