Everything Abhishek has published, most recent first.
The Telnyx plugin for GetStream Vision Agents now covers the full voice AI stack: PSTN phone calling, LLM, STT, and TTS, all from a single install.
100 production rules for AI voice agents based on real deployments: call scope, latency, speech recognition, tools, evals, handoff, safety, and operations.

Most voice AI feels robotic because of latency, not bad voices. Every network hop adds delay. We fixed it by colocating our GPUs with our telephony core, cutting response times sub second and making conversations feel human again.
We ran the same audio clip through Telnyx STT, Deepgram Flux, and ElevenLabs Scribe v2. Listen to the difference in phone number dictation accuracy.
Text-to-speech models do not only differ by voice quality. The architecture underneath the voice determines latency, cloning quality, streaming behavior, controllability, and cost.
Explore why most voice AI fails in production, what a real system must do end-to-end, and how to measure success using job-level metrics and reliable escalation.

Build outbound AI calls with Python, Telnyx Media Streaming, and OpenAI Realtime. Includes Call Control, WebSocket bridge, and PCMU audio.

Telnyx AI Assistants now support end-user targeting on top of percentage traffic splits, so teams can test new voice AI agent versions on real calls before widening a canary.
Adding a second human to an active voice AI call breaks assumptions your conversation layer has held since day one. Here is what changes in the audio layer, the transcript state, and the tool design when you build for multiple speakers.

A full breakdown of building a Wispr Flow alternative on macOS using Telnyx STT and LLM inference APIs — pipeline architecture, permissions, hotkeys, and real-world latency.
Learn the five metrics such as TTFA, E2E, barge-in, and others that explain why your voice AI feels slow on real customer calls.

Most voice AI evaluations start with cost per minute. That framing almost guarantees the wrong conclusion. Here is a 4-step framework to model the actual economics, plus an interactive ROI calculator to run your own numbers.

AI coding agents hallucinate API calls. Telnyx Skills give them verified SDK knowledge so generated code works.
MiniMax Speech 2.6 matched or exceeded ElevenLabs in stability, pacing, and cost, making it a strong option for large-scale Voice AI.
Teams outgrow Retell as latency and telephony issues surface. Telnyx import preserves agent logic while improving reliability.
Telnyx NaturalHD adds full tashkeel support for Arabic TTS, delivering accurate, natural pronunciation across dialects.

Host Deepgram’s Flux CSR model inside Telnyx’s global network to reduce latency and build smoother voice-AI conversations.
Use your own OpenAI-compatible model with Telnyx Voice AI. Bedrock, Azure, or self-hosted LLMs now supported.

Voice AI agents often interrupt too soon. Telnyx’s Start Speaking Plan lets you control exactly when your agent responds based on pauses, punctuation, and real-world speech patterns.