Engineering: AI

A phone support voice AI needs to react in real time - start replying within 300ms, stop the moment a caller interrupts, and handle the telephony edge before the model sees the audio. This guide covers the full pipeline - streaming STT, TTS, turn detection, barge-in, and the latency budget that keeps calls feeling natural.

Warm transfer carries the conversation's context to the human agent - the summary, the intent, the caller's mood - so the human can pick up mid-story. Cold transfer carries only the audio, and the caller starts over. Building warm transfer in a real-time voice system means solving three problems when to escalate, how to generate structured context in parallel with the live call, and how to hand off the audio session without breaking it.

TLDR: Agents these days are blind and not very engaging, so we decided to team up with Anam and Inworld to build an agent using Vision Agents that feels personal and aware of the world around you. Give it a try here. Most voice agents today are blind. They hear words, convert them to text,

It's been a busy period since our last release, and now it's time to share Vision Agents v0.5.0: a step toward making production-grade multimodal AI agents easy to build and deploy. While previous versions laid the groundwork for real-time voice, video, and Vision Agents, v0.5.0 focuses on stability at scale and even more expressive

In most of the world, if you're YOLO'ing, you're jumping out of a plane, asking out your future spouse, or eating gas station sushi. In vision AI, You're Only Looking Once. Ultralytics' YOLO is a real-time object detection framework with a simple premise: instead of scanning an image multiple times to find and classify objects,

Grok tends to fly under the radar. While ChatGPT, Claude, and Gemini have found their footing in enterprise workflows and agentic toolchains, Grok remains mostly associated with X, which has overshadowed some genuinely strong capabilities. Chief among them is vision: Grok can understand and generate images, produce entire videos from a single prompt, and with

Not long ago, text-to-speech (TTS) was a laughing stock. Robotic, obviously synthetic output that made customer service jokes write themselves and relegated TTS to accessibility contexts where users had no alternative. Now, you may have listened to text-to-speech today without even realizing. AI-generated podcasts, automated customer service calls, voice assistants that actually sound like assistants.

AI won't stay online. It won't stay on your laptop. It won't stay centralized. It will move to every device and to the edge of every network, into your earbuds, your car, your factory floor, and your doorbell. This opens up a remarkable number of use cases. A fitness coach who listens continuously, counts your