Anyone building voice AI agents knows how hard it is to stay up-to-date with the latest text-to-speech voice models.
We spend time testing and experimenting with all of the available paid and open-source text-to-speech voice AI models and consolidated our own notes and experience testing different models into a single guide for developers evaluating multiple models.
We're excited to announce a major upgrade to Layercode: support for Deepgram Flux: the world's first transcription system built specifically for voice agents.
Build a voice AI agent in minutes, straight from your terminal.
One command scaffolds your project with built-in tunneling, sample backends, and global edge deployment.
Connect via webhook, use existing agent logic, pay only for speech (silence is free).
We believe every developer with a vision deserves the tools to build it. We're launching a Startup Program to give early-stage companies building innovative voice AI experiences access to world-class voice infrastructure.
We created a tactical guide sharing a bunch of best practice for developers on how to tune your prompts to make your voice agent's speech more conversational. Sharing the fundamentals here
Written and spoken language are fundamentally different in a number of ways that impact how you should approach building voice AI agents.
Consider how a human might communicate the same information:
