Building a Voice AI Assistant That Turns Phone Calls Into Thoughtful Follow‑Through I built a Django backend for a family-focused AI phone assistant. A registered caller connects through Twilio, and Django Channels streams the call to an OpenAI Realtime session for a natural, two-way conversation.

The backend adds caller-specific context, selected voices, subscription minute limits, and interruption handling. After the call, background tasks generate a separate summary. A follow-up email is sent only when requested and the recipient is confirmed.

I also built APIs for managing relations, subscriptions, and dashboard usage data. One of the most interesting parts was connecting the whole lifecycle: incoming call, real-time conversation, usage tracking, and post-call follow-through.

#Django #VoiceAI #RealtimeAI #Twilio #OpenAI #BackendDevelopment

Sending the follow-up email only after the recipient is confirmed is a careful rule: a wrong name heard on a call could send it to the wrong person. How does the confirmation work: does the assistant repeat the name during the call, or does the caller confirm later in the dashboard?

Month wrap-up: what I learned writing for agents, coaches and local businesses. 📌 Agents: the first 5 minutes decide the lead 📌 Coaches: start the conversation instead of hosting another long pitch 📌 Local businesses: reviews, missed calls and old customers are money on the table It’s a busy weekend for many businesses. An enquiry nobody replies to is the cost. I’m Paul Richard. I build systems that reply, follow up and book for you. DM “AUTOMATE” for a free automation audit.