If your voice AI system can touch real systems or trigger actions with business consequences, your approach to AI agent tool calling security matters. When voice AI agents can modify customer data, trigger escalations, update ticketing systems, or execute workflows—especially for customer service in regulated industries like
LLMs alone can’t “act.” They generate text. The key to success, and the way to avoid the 80% of AI projects that never leave the prototype stage, is moving beyond conversation to orchestration. This means integrating LLM reasoning with automation frameworks, enabling explainable outcomes and human oversight,
Reducing WebRTC infrastructure costs is critical as your application scales. While WebRTC technology is open-source and free to use, the infrastructure required to run it in production is often a major operational expense. (How Much Does It Really Cost to Build and Run a WebRTC Application?) Success
Unlike traditional web applications with simple request-response patterns, real-time communication platforms require a cohesive ecosystem and sophisticated WebRTC tech stack to handle live media streams, manage peer connections, ensure low latency, and have the capability to scale to large numbers of concurrent users. Selecting the right WebRTC
