Latest articles
Everything Abhishek has published, most recent first.
Conversational AIHow to evaluate Voice AI the way real conversations work
Learn the five metrics such as TTFA, E2E, barge-in, and others that explain why your voice AI feels slow on real customer calls.
VoiceHow to choose a voice for your BPO or contact center AI agent
Most BPOs spend more time choosing their CRM than choosing their voice. The voice is the first three seconds of every call, and it sets the tone for everything that follows.
MessagingHow to Text China
Learn how to text China from the US or anywhere else. Get China's country code, mobile number format, and tips for reliable SMS delivery.
Conversational AIHow to build a Voice AI product that does not fall apart on real calls
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.
Conversational AIOur Early Benchmarks on ElevenLabs vs MiniMax TTS and Why It Matters
MiniMax Speech 2.6 matched or exceeded ElevenLabs in stability, pacing, and cost, making it a strong option for large-scale Voice AI.
Conversational AIWhy teams outgrow Retell and migrate to Telnyx
Teams outgrow Retell as latency and telephony issues surface. Telnyx import preserves agent logic while improving reliability.
Conversational AIThe Math Behind Voice AI ROI
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.
- Conversational AI
Run Telnyx Voice AI Assistants with Any OpenAI-Compatible LLM
Use your own OpenAI-compatible model with Telnyx Voice AI. Bedrock, Azure, or self-hosted LLMs now supported.
Conversational AICanary Deployments for Voice AI Assistants
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.
Conversational AI100 Voice AI Tips for the Rest of 2026
100 production rules for AI voice agents based on real deployments: call scope, latency, speech recognition, tools, evals, handoff, safety, and operations.
- Conversational AI
Arabic TTS with Tashkeel Support
Telnyx NaturalHD adds full tashkeel support for Arabic TTS, delivering accurate, natural pronunciation across dialects.
Conversational AIWhy Voice AI fails in EMEA and what infrastructure has to do with it
Voice AI failures in EMEA stem from latency, routing, and compliance issues that only appear at production scale.
Conversational AIWhen voice AI prompts stop being maintainable
Voice AI systems often fail as prompts decay over time. Instructions collide, behavior drifts, and changes become risky. This article explains why that happens and how Telnyx helps teams keep voice AI predictable in production.
Conversational AIAI voice agents checklist for production calls
Learn how to prepare AI voice agents for production calls with low latency, real-time transcription, handoffs, guardrails, observability, and ROI tracking.
Conversational AI26 principles for adopting voice AI in production (2026)
26 practical principles for running voice AI in production, covering latency, reliability, escalation, and real PSTN traffic.
Conversational AIGive Your AI Call Center Agent the Skills to Use Telnyx Correctly
AI coding agents hallucinate API calls. Telnyx Skills give them verified SDK knowledge so generated code works.
VoiceControl Voice AI response timing with Start Speaking Plan
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.
Conversational AIWhat does it mean to pass the Turing Test in voice AI
What does it mean for voice AI to pass the Turing Test? Most claims amount to quick conversational polish, not real intelligence. This article shows why latency, interruption handling, and task completion matter more than sounding human.
Conversational AIThe 9 levels of voice AI maturity
Most companies think they have voice AI because a bot answers the phone. That is not maturity. That is a starting point. We have mapped 9 distinct levels based on what actually breaks as companies scale, not what vendors promise.
VoiceHow to detect an AI-generated voice on live calls
Real-time AI voice detection on live phone calls: how it works, where it fits in a call pipeline, and what the PSTN transport does to detection accuracy.
Conversational AIYou can now use Deepgram Flux on Telnyx
Host Deepgram’s Flux CSR model inside Telnyx’s global network to reduce latency and build smoother voice-AI conversations.
- Agent Primitive
Benchmarking Tavily, Telnyx, DuckDuckGo, and Brave for agent workflows
We ran 20 queries through Tavily, Telnyx Web Search, DuckDuckGo, and Brave. Brave was fastest at 561ms avg with zero errors. Tavily returned the richest snippets. DuckDuckGo failed 8 out of 20 times.
MessagingHow to give your Muse Agent an inbox
Muse has no inbox of its own. Give any AI agent a real email address with the Telnyx Email API, on the same platform as voice and SMS.
- Conversational AI
An open source medical pronunciation dictionary for voice AI
960 medical terms with phonetic alias and IPA pronunciations, pre-built for Telnyx, ElevenLabs, Vapi, Retell, and Amazon Polly. Open source, provider-agnostic, 30 seconds to import.
TTS APITTS architecture decides what breaks first
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.
STT APIHow I built a voice dictation app for macOS using Telnyx
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.
IntegrationsBuild Voice AI Agents With Vision Agents and Telnyx
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.
Conversational AIHow we built multi-participant voice AI calls
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.
Conversational AIImproving Voice AI Latency with Co-Located Infrastructure
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.
