Resources: FAQs

WebRTC has become the standard transport layer for AI agents requiring real-time voice and video. Originally designed for browser-to-browser video calls, WebRTC is a protocol stack that enables real-time audio and video communication over UDP. Because it prioritizes low latency over guaranteed delivery, it is ideal for the sub-500ms response times that natural conversation requires.

Object detectors such as YOLO and EfficientDet treat each video frame independently. This works fine for static images, but in real-time video streams, it causes detections to flicker. Bounding boxes jitter, confidence scores oscillate near thresholds, and objects "blink" in and out of existence. In a display overlay, this is merely annoying. In a closed-loop

When building multimodal systems that need to sync audio and video in real time, one question matters more than you'd expect: Can the lips match the voice? Get it wrong, and your AI character looks like a dubbed foreign film. Get it right, and it feels real. And getting it right depends heavily on your

Building a voice agent that feels responsive is hard. Users expect conversational AI to respond instantly, but the realities of LLM processing, tool execution, and text-to-speech synthesis introduce unavoidable latency. The result? An awkward 3-second silence that makes your voice agent feel broken. Speculative tool calling is the architectural pattern that solves this problem. Why

Processing thousands of video streams with sub-100ms latency requires more than good models. If your 99.9% accurate transformer sits behind a jittery connection or a load balancer that scatters frames across servers, your system effectively has 0% accuracy. In stadiums, broadcasts, and live events, reliability is a physics problem. Here, we want to answer the

Sports analytics used to be the sole domain of professional sports teams. You needed optical tracking systems costing hundreds of thousands of dollars and dedicated technical staff to operate them. That's changed. The same computer vision stack that powered million-dollar broadcast installations can now run on consumer cameras, laptops, and even smartphone apps. Youth academies

The high-latency workflows of LLMs are fine when the work is creative, analytical, or asynchronous. You can wait a few seconds for a code review or a PDF summary. Vision AI in real-time systems doesn't have that luxury. A robot arm needs to stop before hitting an obstacle. A sports broadcast needs ball tracking that

If you watch any sports, whether it's the NFL, NBA, or Premier League, you'll know that you're not just watching what's happening on the field or court anymore. Now you're watching a VAR overlay of Haaland's offside, 3D replays reconstructing Smith-Njigba's catches from angles that don't exist, and shot charts tracking Wembanyama's shooting percentage as