Building Velyn Dental: First Production Tests
Early Results from Production Testing
We've been running Velyn Dental in internal testing for two weeks now against test calls and simulated practice scenarios. No real patient calls are handled yet — the first production practice is not onboarded until the full vendor BAA chain is signed — and we're learning a lot.
So far, response times are holding steady around 2 seconds (caller speaks → AI responds), which feels natural in conversation. We've had a few hiccups during peak hours, but nothing critical.
The Technical Stack
Here's what we're using to keep things running:
Infrastructure:
- Vercel Edge Functions for hosting the API endpoints
- Upstash Redis for basic rate limiting
- Supabase Postgres for storing call data
- Telnyx for HIPAA-eligible voice transport (under a signed BAA)
- Datadog + Sentry for monitoring and error tracking
Basic Guardrails:
- Rate limiting to prevent abuse (10 calls/min per IP)
- Webhook signature verification from the telephony provider
- Simple honeypot fields to catch spam bots
- Error handling for when upstream services are slow
Monitoring:
- Tracking response latency (aiming for under 2s)
- Error rate monitoring (we alert when it spikes above 1%)
- Basic call volume dashboards
- Sentry for catching exceptions
What We're Learning
Two seconds feels fast enough. With streaming responses and edge functions, we can make real-time AI conversations feel natural.
Monitoring is critical. When something breaks at 2am, we need to know immediately. Our Datadog setup is already paying dividends.
Building call coverage for real practices is harder than demos. Every edge case matters when a practice will be depending on it.
What's Next
We're lining up our first practices to stress-test the system. Need to see how it handles higher call volumes before we open it up more broadly.
The goal is simple: build something reliable enough that dental practices can actually depend on it.
About Autonomy AI®
Autonomy AI® builds Velyn Dental for dental call coverage and BuckHound™ for price tracking. Learn more at auai.cloud.