During a recent onsite gathering of our team at the WebRTC.ventures Panama QA office, we did a deep dive into Prompt Engineering with John Berryman, an early engineer at GitHub Copilot and author of Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications.  While we mainly focused on text-based scenarios (in LLMs, text has been king so far), we also explored specific considerations for voice and audio/video-driven applications leveraging WebRTC.

Video conferencing can be more than just communication—it can be an interactive gaming experience! We built a web application that connects players via LiveKit open source video conferencing and challenges them to an emoji-matching game using the FaceAPI for real-time facial expression analysis. We call it “FaceOff”. In this first post of the series, we’ll cover the basics of using LiveKit and how we leveraged it to build this web-based video conference game. Our focus

Voice-to-text technology has advanced significantly, enabling real-time transcription for various applications. From enhancing workplace productivity to supporting individuals with disabilities, speech-to-text solutions have become integral across numerous sectors. Professionals in fields like journalism, legal services, education, and healthcare, to name a few, are leveraging real-time transcription to capture critical information accurately and efficiently.  In this post, we'll explore how to build a simple Android app that transcribes conversations locally using SpeechRecognizer from android.speech. We'll also

Interactive, personalized video commerce is shaping the future of online retail. At WebRTC.ventures, we’ve harnessed the power of Agora’s real-time communication platform, OpenAI's Realtime API, and Simli's AI-driven avatars to create LiveCart—a next-generation live selling platform that turns watchers into buyers. Online retailers face several hurdles when trying to replicate the in-store shopping experience: Lack of personal interaction leads to lower engagement. Product questions often go unanswered, causing cart abandonment. Sellers struggle to scale personalized

On March 19, 2025, the milestone 100th episode of WebRTC Live, we showcased an ongoing WebRTC.ventures project that highlights the powerful potential of WebRTC and AI. AVA Intellect is at the forefront of developing AI-powered virtual teammates that seamlessly integrate into Microsoft Teams and other video conferencing platforms—collaborating like real colleagues. Is this the future of business? And how is it being accomplished? Learn more about this project in our WebRTC.ventures Story of Success: AI Voice Agents

The integration of conversational AI and agentic systems into WebRTC applications has evolved from a novel concept to an essential component in creating truly intelligent communication systems. The convergence of real-time communication, large language models (LLMs), and agentic AI systems has unlocked new opportunities for voice-based interfaces that don't just facilitate communication but can take meaningful action. We're no longer simply navigating a set of fixed workflows; we're building systems that can understand speech, reason

Imagine having a conversation with a sophisticated AI assistant or agent without your words ever leaving your machine. No data being shipped to third-party servers. No LLM API costs. No added latency waiting for distant data centers to process your requests.  If you're concerned about confidential business data, work in a regulated industry, or simply want more control over your AI tools, on-premise, local processing of Large Language Models (LLMs) ensures that data remains on

As the CTO of WebRTC.ventures, I recently attended ITEXPO 2025 in South Florida, an annual gathering of communications and technology professionals. The event brings together telecom and IT executives from enterprise and SMBs, small business owners, MSP and channel C-levels and business owners, service provider/carrier engineers, network executives, and industry suppliers and solutions providers. The conference typically covers a broad range of topics, including scaling infrastructure, network security, communication protocols, customer experience strategies, and emerging

The webrtc-internals tab is a powerful debugging tool built into Chrome and other Chromium-based browsers. It provides real-time insights into active WebRTC sessions, offering developers a detailed view of connection behavior and media transport. In this post, we’ll take a quick tour of how webrtc-internals enables real-time insights into active WebRTC sessions, helping developers analyze and debug connection behavior, media transport, and performance metrics. We’ll also explain why a different approach may be required for

Real-time video calls have become the backbone of how we work, learn, and connect. And when users connect, they expect seamless, high-quality communication. Yet many factors can affect call quality - from internet connectivity to device settings to network configurations. While these issues often originate outside the application itself, they significantly impact the user experience. Pre-call testing helps identify potential problems before a call begins, enabling proactive solutions and clearer expectations.  In this post, we'll

On February 19, 2025, Péter Megyesi, CEO of L7mp, joined host Arin Sime to dive into the complexities of running WebRTC media servers in Kubernetes environments. While containerization of WebRTC applications has become common practice, integrating these containers into Kubernetes presents unique challenges due to WebRTC’s distinct networking model. They explore why traditional WebRTC connectivity methods break in Kubernetes environments and discuss practical solutions using TURN servers. The session covers the evolution of WebRTC deployments from

Graphics Processing Units (GPUs) were originally designed to accelerate gaming, enabling complex graphics computations to run in parallel. Unlike Central Processing Units (CPUs), which excel at executing a few instructions at a time with high precision, GPUs are built for massive parallelism—handling thousands of operations simultaneously.  This fundamental difference makes GPUs ideal not just for rendering graphics but also for the large-scale data processing that have been driving advancements in WebRTC video streaming. This capability

Codecs are essential to WebRTC, enabling efficient media compression and decompression for transmission. They not only ensure seamless communication but also impact quality, latency, and compatibility across devices. In this post we will talk about the importance of codecs for WebRTC, including essential codecs, codecs that enable additional features, and emerging codecs such as AV1 and AI audio codecs. The Role of Codecs The main goal of WebRTC is to enable real-time exchange of video,

Through the power of WebRTC, millions of people connect face-to-face with colleagues across continents, collaborate on virtual whiteboards in real-time, share their screens with support teams, and much more. However, when issues arise, identifying the root cause within the complex web of connections can feel like searching for a needle in a haystack.  While challenging, troubleshooting WebRTC applications can be made more manageable. With the right diagnostic tools and a systematic approach, you can quickly

For a long time, content creators and broadcasters had to choose between the immediacy of live streaming or the polish of edited, on-demand video. Today, innovations in browser APIs and real-time technologies—especially around WebRTC—are closing that gap. By leveraging powerful JavaScript APIs, modern libraries, and emerging protocols, it’s now possible to deliver feature-rich, low-latency video experiences that merge live interaction with the sophistication of post-production workflows. This convergence of live and produced content represents one

For organizations with specific regulatory, scaling, or network control requirements, self-hosted STUN/TURN servers can be a more suitable option than relying on managed service providers to set up and maintain your WebRTC connections. Those seeking cost optimization or increased customization may also benefit from exploring self-hosted solutions. In this post, we’ll outline best practices for provisioning self-hosted STUN/TURN servers, as recommended by our WebRTC experts. We’ll also explore how to install, run and configure three

On January 22, 2025, Damien Stolarz, CEO of Evercast, joined host Arin Sime to discuss how his team added real-time communications into Apple Vision Pro for a collaboration experience like none other. Evercast is a high-resolution, high-color, ultra-low-latency, surround-sound conferencing and streaming software. It’s used for secure remote editing and finishing of films and TV shows, and was used in 60% of Oscar nominated films last year. In the conversation, they cover use cases and the technology

As we finish Celebrating 2024: A Year of Versatile WebRTC Solutions and look ahead to 2025, WebRTC.ventures is buzzing with excitement about the future of real-time communication technology. Our team of WebRTC and related experts are gearing up for another year filled with innovation, growth, and new opportunities in the world of real time communications. From protocol innovations to AI and other emerging technologies, the WebRTC ecosystem continues to evolve in exciting ways. Let's explore

Whether you're building a VoIP application, a video conferencing platform, or any real-time communication solution, ensuring optimal performance in environments with slow or unreliable networks can be a significant challenge. This is especially true for mobile networks and satellite communications, where latency, packet loss, and bandwidth limitations are common hurdles. To address these challenges, developers and architects must carefully evaluate various network-level factors and implement strategies that maximize performance, even under suboptimal conditions. In this

OpenAI has introduced a new feature to its Realtime API: a WebRTC endpoint that enables real-time interaction with AI models. This exciting development opens up new possibilities for application builders and users alike, who can now enjoy seamless, instantaneous conversations with AI-powered systems. In this post, we explore why OpenAI this new endpoint is important, how it brings together the formally parallel technologies of WebRTC and AI, and the steps to get started. From WebSockets