Cloudflare has introduced new capabilities to facilitate the development of real-time, voice-enabled AI applications on its global network, emphasizing the transformation of human interaction with AI through natural communication patterns like voice. These advancements include Cloudflare Realtime Agents, a runtime for orchestrating voice AI pipelines at the edge, and support for WebRTC audio as PCM in Workers, enabling direct connection of WebRTC audio to AI models. The platform also introduces WebSocket support for real-time AI inference with models such as PipeCat's smart-turn-v2 and integrates Deepgram's speech-to-text and text-to-speech models on Workers AI, enhancing global scalability and latency reduction. These features aim to simplify the deployment of voice AI applications by providing flexible building blocks and low-latency connections, positioning Cloudflare as a key player in the transition of conversational AI from experimental stages to production-ready systems.