How I Built an AI Phone Receptionist: Webhooks, Stateless Turns and Structured LLM Output
This story is from 2026-10-23. It is preserved in the archive; the latest stories are on the live feed.
Small businesses miss a lot of calls. A plumber is under a sink, a dentist's front desk is checking in patients, a salon owner is mid-colour — and the caller hangs up and dials the next business on Google. I built an AI phone receptionist for small businesses in Canada ( Aethely ) to cover exactly…
Read the full story at DEV Community — AI ↗
Timeline · 1 report
- 2026-10-23 01:51 · DEV Community — AI
How I Built an AI Phone Receptionist: Webhooks, Stateless Turns and Structured LLM Output
More stories
- Cognition Becomes First Customer for NVIDIA Vera Rubin NVL72 on CoreWeave Cloud — CoreWeave Blog
- Google's Agent Compute Engine gives every Gemini agent its own hardware-isolated micro virtual machine — The Decoder
- OpenAI brings frontier models and Codex to Google Cloud — OpenAI News
- Introducing TorchTPU — PyTorch Blog
- New Gemini tools for small business owners — Google Gemini Blog
- Introducing Gemini for government services — Google Cloud AI Blog
- Applying Gemini 4 for large-scale codebase maintenance in Chromium — Google DeepMind YouTube
- Using Gemini 4 Argon to protect against Cyber attackers — Google DeepMind YouTube
Get the daily brief of stories like this at 6:30 every morning →