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FAQs: AI FAQs

How is WebRTC Used for Bi-Directional Voice and Video Streaming in AI Agents?

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.
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7 min read

How Do You Handle 'Speculative Tool Calling' in a Voice Loop to Prevent the 3-Second Silence While the LLM Decides Which Function to Use?

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
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7 min read

What Infrastructure and Deployment Strategies Ensure Reliable, Real-Time Vision AI at Scale?

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
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4 min read

How Can Vision AI Automate Player and Ball Tracking for Sports Coaching and Performance Analysis?

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
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4 min read

What Are the Best Practices for Building Low-Latency Vision AI Pipelines for Real-Time Video Analysis?

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
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5 min read

How Can Real-Time Vision AI Enhance Live Sports Analytics and Fan Experiences?

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
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6 min read